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DEVELOPMENT AND VALIDATION OF A LC-MS/MS METHOD FOR QUANTITATIVE ANALYSIS OF BISPHENOL A AND TETRABROMOBISPHENOL A IN SEAFOOD AND SEAWEED Cátia Adriana Almeida Oliveira Master in Quality Control Faculty of Pharmacy of University of Porto 2015
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DEVELOPMENT AND VALIDATION

OF A LC-MS/MS METHOD FOR

QUANTITATIVE ANALYSIS OF BISPHENOL A

AND TETRABROMOBISPHENOL A IN

SEAFOOD AND SEAWEED

Cátia Adriana Almeida Oliveira

Master in Quality Control

Faculty of Pharmacy of University of Porto

2015

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FACULDADE DE FARMÁCIA

Universidade do Porto

Desenvolvimento e validação de um método

de LC-MS/MS para a análise quantitativa de

bisfenol A e tetrabromobisfenol A em

amostras de peixe e algas

Cátia Adriana Almeida Oliveira

Dissertação do 2º Ciclo de Estudos

Conducente ao Grau de Mestre em Controlo de Qualidade

– especialização em Alimentos e Água

Trabalho realizado sob a orientação de

Doutora Sara Silva Cunha

e Professor José Oliveira Fernandes

2015

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É AUTORIZADA A REPRODUÇÃO INTEGRAL DESTA

DISSERTAÇÃO APENAS PARA EFEITOS DE INVESTIGAÇÃO,

MEDIANTE DECLARAÇÃO DO INTERESSADO, QUE A TAL SE

COMPROMETE.

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i

ACKNOWLEDGEMENTS

To PhD Sara Cunha, my supervisor, for all her support and knowledge transmitted

throughout the development of this work. Due to all the difficulties overcome in the beginning

of this project in which both learned, today I resolve problems more quickly. I appreciate the

autonomy that her let me have throughout the year, instigating me to break my limits and

go beyond the obvious.

To Professor José Fernandes for all his help finding new objectives, new visions and

new challenges for me in the field of this work. His knowledge is so vast that always made

me even more fascinated by the subject and want to do more and better.

To all collaborators of the Laboratory of Bromatology and Hidrology who readily helped

me when I needed in the access to the materials and equipment.

To my fellow master’s course for all the lunches, all the laughter and all the

conversations. Without them, I could not stop for a coffee, relax and think. Especially to

Silvia, the fighter mum, to Cristina, sincere friend, to Angela, the best listener, to Claudia,

the playful, to Rose, the loving, to Rita and Tiago, the couple with more quality in Oporto

and surroundings.

To my dear friends, the companions I have done throughout my life. Without them I

would not be complete. Thank you for all the endless hours they heard me talk about

bisphenols, tupperwares, fish and algae. In particular: to Joana, my closest friend and

soulmate for all the support and advices and who pulls me up to dream, and Titan, who

pulls me down to earth.

To my boyfriend Édi for all the support, patience, enthusiasm and presence. His joy

allowed me to overcome the darkest days and his attention to all my projects helped me

improve my skills and train my presentations until they were perfect.

To my father Alfredo, the man who never stopped believing me since the day I was

born. For all his advices, caring and support. To my mother Manuela, for all the love and

the glitter in her eyes when she sees the little steps I am taking to a better future. They are

my super-heroes and they lead me to always want to evolve more and more. To my little

brother Tiago, for calming me down when the nerves take care of me, for relieving the

pressure over my shoulders and even without seem, always be there aware of me and

fighting for me.

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ABSTRACT

In last years a significant increase in public concerns about the adverse effects of

substances with endocrine disrupting properties, like bisphenol A (BPA) and its analogous

tetrabromobisphenol A (TBBPA) has been observed. BPA is highly used in the production

of polycarbonate plastics and epoxy resins used in several food containers, while TBBPA

is a known brominated flame retardant (BFR) present in epoxy, polycarbonate and phenolic

resins. When conditions that trigger it occur, these chemicals may leach into the ambient

and accumulate, with harmful effects for both human and wildlife.

The aim of this work was the optimization of an analytical procedure based on liquid

chromatography-tandem mass spectrometry (LC-MS/MS) for the simultaneous

determination of BPA and TBBPA on fourty-six seafood samples and fourteen mussels

samples collected in different European regions and on thirty-eight seaweed samples, both

included in the ECsafeSEAFOOD project. Initially, three extraction techniques described in

literature were compared. Best results were achieved with the use of QuEChERS (quick,

easy, cheap, rugged, safety) procedure followed by liquid-liquid extraction, with recoveries

above 70%. The optimized technique was validated concerning to linearity, precision

(intraday and interday precision) and recovery.

In a total of forty-six seafood samples analysed, BPA was detected in eleven

(approximately 24%) while five (approximately 11%) presented TBBPA. In seafood, the

results obtained where highly variable and disperse, being different even on samples from

the same specie but collected in different time or region. In mussels, both BPA and TBBPA

were detected and quantified. Seaweeds did not presented any traces of these

contaminants.

Despite BPA and TBBPA levels found in seafood and mussels were generally low and

within the regulated and safety limits, the contamination of the endocrine disruptors (EDs)

should not be ignored since there are researchers who consider that the toxicity of these

compounds takes place at levels far below these stablished as limits. The absence of both

EDs in the seaweeds subjected to study may indicate that the contaminants are not

absorbed or phytoremediated by these. More studies should be developed concerning

these contaminants in foodstuff. Optimized extraction techniques, particularly regarding fat

removal from the sample prior to analysis should be developed in order to improve precision

and recovery.

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RESUMO

Nos últimos anos tem sido observado um aumento significativo da preocupação do

público sobre os efeitos adversos das substâncias com propriedades de desregulação do

sistema endócrino, como o bisfenol A (BPA, do inglês) e o seu análogo tetrabromobisfenol

A (TBBPA, do inglês). O BPA é um composto sintético muito utilizado na produção de

plásticos de policarbonato e de resinas epóxidas utilizadas em várias embalagens de

alimentos, enquanto o TBBPA é conhecido como um retardador de chama bromado (BFR,

do inglês) presente em resinas epóxidas, policarbonatadas e fenólicas. Em condições

propícias, estes compostos podem ser libertados no ambiente e acumular-se, com efeitos

nocivos para homens e animais.

O objetivo deste trabalho foi a otimização de um procedimento analítico baseado em

cromatografia líquida com espectrometria de massa tandem (LC-MS/MS, do inglês) para a

determinação simultânea de BPA e TBBPA em quarenta e seis amostras de peixes e

catorze amostras de mexilhões recolhidas em diferentes regiões europeias e em trinta e

oito amostras de algas, trabalho incluído no âmbito do projeto europeu ECsafeSEAFOOD.

Inicialmente, compararam-se três técnicas de extração descritas na literatura, tendo os

melhores resultados sido obtidos com o uso do procedimento QuEChERS, seguido de um

clean up líquido-líquido, com recuperações acima de 70%. A técnica otimizada foi validada

relativamente à linearidade, precisão (precisão intra-dia e inter-dias) e recuperação.

Num total de quarenta e seis amostras de peixes analisados, onze (cerca de 24%)

apresentam níveis de BPA enquanto cinco (cerca de 11%) apresentam níveis de TBBPA.

Nos peixes, os resultados obtidos foram altamente variáveis e dispersos, mesmo para

amostras da mesma espécie recolhidas em tempo ou região diferente. Em mexilhões,

ambos o BPA e o TBBPA foram detetados e quantificados. As algas não apresentaram

quaisquer vestígios destes contaminantes.

Apesar dos níveis de BPA e TBBPA encontradas em peixes e mexilhões terem sido

baixos e dentro dos limites regulamentados, a contaminação com desreguladores

endócrinos não deve ser ignorada, até porque existem investigadores que consideram que

a toxicidade destes compostos tem lugar mesmo em níveis muito inferiores aos limites em

vigor. A ausência de BPA e TBBPA nas algas em estudo pode indicar que estes

contaminantes não são absorvidos nem metabolizados por estas. Mais estudos devem ser

desenvolvidos a respeito destes contaminantes. Técnicas de extracção optimizadas,

especialmente no que respeita à remoção de gordura das amostras, devem ser

desenvolvidas a fim de se obter melhores precisões e recuperações.

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LIST OF CONTENTS

ACKNOWLEDGEMENTS…………………………………………………………………………i

ABSTRACT………………………………………………………………………………………...ii

RESUMO………………………………………………………………………………………......iii

LIST OF CONTENTS……………………………………………………………………………..iv

LIST OF FIGURES……………………………………………………………………………….vii

LIST OF TABLES…………………………………………………………………………………ix

ABBREVIATIONS AND SYMBOLS…………………………………………………………….xi

I. THEORETICAL PART

1. World fisheries and seafood consumption……………………………………………….1

1.1. Nutritional value of seafood……………………………………………………………..3

1.2. Contaminants and Seafood Accumulation……………………….............................3

2. Seaweeds ………………………………………………………………………………………5

2.1. Nutritional value of seaweed……………………………………………………………6

2.2. Contaminants and Seaweed Phytoremediation ……………………………………...6

3. Importance of studying BPA and TBBPA in seafood and seaweed……………..…..9

4. Bisphenol A…………………………………………………………………………………..11

4.1. Properties of BPA………………………………………………………………………11

4.2. Sources of exposure to BPA………………………………………………………….12

4.3. Metabolism and toxicity of BPA……………………………………………………….16

4.4. Legislation………………………………………………………………………………18

5. Tetrabromobisphenol A…………………………………………………………………….20

5.1. Properties of TBBPA…………………………………………………………………...20

5.2. Sources of exposure to TBBPA………………………………………………………21

5.3. Metabolism and toxicity of TBBPA……………………………………………………23

5.4. Legislation………………………………………………………………………………24

6. Brief review of analytical methodology………………………………………………….26

6.1. Sample preparation…………………………………………………………………….26

6.2. Liquid-liquid extraction (LLE) and solid phase extraction (SPE)…………………..27

6.3. Solid phase microextraction (SPME)…………………………………………………28

6.4. Matrix solid phase dispersion (MSPD)……………………………………………….29

6.5. QuEChERS……………………………………………………………………………..30

6.6. Dispersive liquid liquid microextraction (DLLME)……………………………………30

6.7. Soxhlet extraction………………………………………………………………………31

6.8. Pressurized Liquid Extraction (PLE)………………………………………………….32

6.9. Clean-up………………………………………………………………………………...33

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6.10. Analytical techniques…………………………………………………………………..34

6.10.1. Liquid chromatography(LC)…………………..……………………………………….34

6.10.2. Liquid chromatography coupled to mass spectrometry (LC-MS) and tandem mass

spectrometry (LC-MS/MS)………….......................................……………………..35

6.10.3. Gas chromatography coupled to mass spectrometry (GC-MS)………….………..38

6.10.4. Immunochemical techniques……………………………………………………........40

7. BPA and TBBPA occurrence in seafood ………………………………………………...43

7.1. Bisphenol A……………………………………………………………………………..43

7.2. Tetrabromobisphenol A………………………………………………………………..47

8. BPA and TBBPA occurrence in seaweed ………..……………………………………...52

II. EXPERIMENTAL PART

1. Chemicals and reagents……………………………..……………………………………….55

2. Standards and quality control materials……………………………..…………………...…55

3. Sampling……………………………..………………………………………………………..56

4. Sample preparation……………………………..…………………………………………….61

5. LC-MS/MS equipment and conditions……………………………..………………………..63

III. RESULTS AND DISCUSSION

1. Optimization of the analytical methodology to quantify BPA and TBBPA by LC-

MS/MS……………………………………………………………………………………….……64

1.1. Optimization of chromatographic conditions……………………………..……………64

1.2. Optimization of extraction conditions……………………………..……………………69

2. BPA and TBBPA determination in SEAFOOD……………………………..……………73

2.1. Validation……………………………..…………………………………………………..73

2.1.1. Linearity……………………………..………………….………………………………...73

2.1.2. Precision……………………………..………………………………….………………..75

2.1.3. Recovery……………………………..…………………………………………………..75

2.1.4. Method detection limit (MDL) and method quantification limit

(MQL)………………...……………………………………..……………………………………..76

2.1.5. Levels of BPA and TBBPA in Seafood…...….……………….………………………..77

3. BPA and TBBPA determination in MUSSELS……………………………..……………81

3.1. Validation……………………………..…………………………………………………..81

3.1.1. Linearity ……………………………..……………………………………….…………..81

3.1.2. Recovery……………………………..………………………....………………………..82

3.1.3. Method detection limit (MDL) and method quantification limit

(MQL)………………...……………………………………..……………………………………..83

3.1.4. Levels of BPA and TBBPA in Mussels…….…………………….…………………..…84

4. BPA and TBBPA determination in SEAWEED……………………………………..……86

3.1. Validation……………………………..…………………………………………………..86

3.1.1. Linearity……………….………………..…………………………………………….…..86

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3.1.2. Recovery…………………………………………..……………………………………..88

3.1.3. Method detection limit (MDL) and method quantification limit

(MQL)………………...……………………………………..…………………………….88

3.1.4. Levels of BPA and TBBPA in Seaweed...…………………...…………………………89

IV. CONCLUSIONS………………………………………..……………………………………..93

V. REFERENCES………………………………..………..……………………………………..95

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LIST OF FIGURES

Figure 1 World capture fisheries and aquaculture production………………...…….….…1 Figure 2 World seaweed production………………….……………………………….……..5

Figure 3 Phytoremediation processes applicable for the remediation of toxic

compounds by plants…………………...…………………………………………..7

Figure 4 Synthesis of bisphenol A from the reaction of phenol with acetone in the

presence of an acid catalyst……………………...……………………………….11 Figure 5 Production of polycarbonate by the condensation polymerisation reaction of

BPA and carbonyl chloride………………………………………………………...12 Figure 6 Production of epoxy resins………………………..……………………………….13 Figure 7 Thermal paper………..……………………………………………………………..14 Figure 8 Schematic diagram depicting the glucuronidation of BPA in the liver and the

route of elimination of unconjugated BPA from serum in rodents and primates after initial absorption from the gut and transport to the liver………………….16

Figure 9 Elements of the NIEHS BPA research program. NIOSH, National Institute for

Occupational Safety and Health……………………………..………………..….18 Figure 10 Tetrabromobisphenol A………………………………………………………........20 Figure 11 TBBPA application in expoxy resins in printed circuit boards ..…………….…21 Figure 12 SPME device consists of a fused-silica fibre coated with an appropriate

stationary phase attached to a modified microsyringe………………………....28

Figure 13 ESI fussl scan mass spectrum of tetrabromobisphenol acquired in negative ion

mode…………………….……………..………………………………………….…37

Figure 14 EI mass spectra of BPA……………………………...………………………........38 Figure 15 Electron impact mass spectra of BPA O-bis(trifluoroacetyl) derivative……….38 Figure 16 Chemical structures of the haptens of BPA used to develop the immunoassay.

BPAA: 2-[4-(1-(4-hydroxyphenyl)-1-methylethyl) phenoxy])acetic acid; BPAB: 4-[4-(1-(4-hydroxyphenyl)-1-methylethyl) phenoxy]butyric acid; BPAH: 6-[4-(1-(4-hydroxyphenyl)-1-methylethyl) phenoxy]hexanoic acid; BPVA: 4,4-Bis(4-hydroxyphenyl)-valeric acid.........................................................................…40

Figure 17 Biotin-streptavidin amplification system…………......…………………………..41 Figure 18 VHH-AP coating of TBBPA and immunoassay…………..……………………..42

Figure 19 Determination of residual BPA in algal culture by HPLC-UV detection….......52

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Figure 20 Determination of BPA in algae samples collected from the Pearl River Delta,

South China, and GC-MS detection……………………...………………....……53

Figure 21 Sample preparation QuEChERS and LLE procedures steps prior to LC-

MS/MS analysis………...……………………………………………………….….63 Figure 22 LC-MS/MS apparatus…………………...……………………………………........64 Figure 23 Ion spectrum of BPA after direct infusion in the MS/MS system with collision at

30 kV. The product ions selected from BPA confirmation and quantification were 211.43 m/z and 133.14 m/z, respectively………………………………....67

Figure 24 Ion spectrum of TBBPA after direct infusion in the MS/MS system with

collision at 40 kV. The product ions selected from TBBPA confirmation and quantification were 446.00 m/z and 419.87 m/z, respectively………………...67

Figure 25 Ion spectrum of BPAd16 after direct infusion in the MS/MS system with collision

at 20 kV. The product ions selected from BPA confirmation and quantification were 223.25 m/z and 142.18 m/z, respectively……………...…68

Figure 26 Ion spectrum of BPB after direct infusion in the MS/MS system with collision at

26 kV. The product ions selected for BPB confirmation and quantification were 226.83 m/z and 212.32 m/z, respectively………………………………………..68

Figure 27 LC-MS/MS product ions chromatogram of a solution of 100 ng/mL BPA and

TBBPA and 40 ng/mL BPAd16 and TBBPA13C12 after extraction with Gallart-Ayalla method (Gallart-Ayala et al., 2013)…………………..……………..……69

Figure 28 LC-MS/MS product ions chromatogram of a solution of 100 ng/mL BPA and

TBBPA and 40 ng/mL BPAd16 and TBBPA13C12 after extraction with a mixture of ethyl acetate/MeOH (1:1, v/v) followed by a clean-up in a 5 min ultrasounds bath and salting-out with the addition of 4 g MgSO4 and 1 g NaCl and 7 mL ultra-pure MilliQ water……………………………………………………….….....71

Figure 29 LC-MS/MS product ions chromatogram of a solution of 100 ng/mL BPA and

TBBPA and 40 ng/mL BPAd16 and TBBPA13C12 after extraction with acetonitrile followed by a salting-out with the addition of 4 g MgSO4 and 1 g NaCl and 7 mL ultra-pure MilliQ water and clean-up with n-hexane/MTBE (3:1, v/v) and n-hexane/benzene (3:1, v/v)………………………………………….…72

Figure 30 LC-MS/MS product ions chromatogram of a solution of 100 ng/mL BPA and

TBBPA and 40 ng/mL BPAd16 and TBBPA13C12 after extraction with acetonitrile followed by a salting-out with the addition of 4 g MgSO4 and 1 g NaCl and 7 mL ultra-pure MilliQ water with 100 µL of HCl 0.01 M and clean-up with n-hexane/MTBE (3:1, v/v) and n-hexane/benzene (3:1, v/v)…………….74

Figure 31 Calibration curve with monkfish large from Round I samples extracted TBBPA

standard solutions (n=2)……………………………………………………...……75

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LIST OF TABLES

Table 1 Fish production in 2000 and 2004 and expectations for future years. Adapted from: FAO Review of the state of world marine fishery resources. Rome, 2005…………………………………………………..……………………………….2

Table 2 BPA levels (ng/g) found in canned seafood from different studies since 2010.

*average; nd: non-detected…………………………………….………………….44 Table 3 TBBPA levels (ng/g) found in river and sea fish samples from different studies

since 2004. *average; nd: non-detected…………………………………...…….48 Table 4 Seafood species from Round I (captured in April-June, 2014) for BPA and

TBBPA analysis and their respective location……………………………….….57 Table 5 Seafood species from Round II (captured in September-January, 2015) for

BPA and TBBPA analysis and their respective capture location……..…........59 Table 6 Number of seaweed samples analysis for each contaminant (BPA and

TBBPA) and times of collection…………………………………………….……..61 Table 7 Optimized conditions to LC-MS/MS analysis of BPA and TBBPA, with the I.S.

BPAd16 and BPB (for seaweed samples) for BPA and TBBPA13C12 for TBBPA determination………………………………………………………………………..65

Table 8 Calibration curves equations obtained from the analysis of Round I and Round

II selected samples fortified with BPA and TBBPA at crescent concentrations

and respective correlation coefficient (R2). I.S. at 40 ng/ml………………..…..77

Table 9 Intra-day precision in RSTD (%) of BPA and TBBPA after extractive procedure

in large monkfish sample from Round I (n=6)…………………………………...78

Table 10 Inter-day precision in RSTD (%) of BPA and TBBPA after in large monkfish

sample from Round I (n=6)……………………………………………………......78

Table 11 Recovery (%) of BPA and TBBPA and respective STD after extractive

procedure in large monkish from Round I (n=6)………………………..……....79

Table 122 MDL and MQL (ng/g dw) for both BPA and TBBPA determined in large

monkfish sample from Round I...………………………………………………….79

Table 13 BPA and TBBPA levels (ng/g dw) found in seafood samples from Round I

(n=2). nd=not detected……………………………………………………….……80

Table 14 BPA and TBBPA levels (ng/g dw) found in seafood samples from Round II

(n=2). nd=not detected……………………………………………………….……81

Table 15 Calibration curves equations obtained from the analysis of mussels sample

fortified with BPA and TBBPA at crescent concentrations and respective

correlation coefficient (R2). I.S. at 40 ng/mL……………………………..……...85

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Table 16 Recovery (%) of BPA and TBBPA and respective STD after extractive

procedure in mussel samples……………………………………….……………85

Table 17 MDL and MQL (ng/g dw) for both BPA and TBBPA determined in mussel

samples……………………………………………………………………………...86

Table 18 BPA and TBBPA levels (ng/g dw) found in mussel samples from Rounds I and

II (n=2).nd=not detected……………………………………………….…………..87

Table 19 Calibration curves equations obtained from the analysis of seaweed sample

fortified with BPA and TBBPA at crescent concentrations and respective

correlation coefficient (R2). I.S. at 80 ng/mL……………………..…….………..90

Table 20 Recovery (%) of BPA and TBBPA and respective STD after extractive

procedure in seaweed samples………………………...………………….……..90

Table 21 MDL and MQL (ng/g dw) for both BPA and TBBPA determined in seaweed

samples, 360h after addition of a solution of 10.0 ng/mL BPA and TBBPA…91

Table 22 BPA and TBBPA levels (ng/g dw) found in seaweed samples with different

spiking and collected at different times (n=2) from the 10 ng/mL BPA and

TBBPA concentrated media. nd=not detected………………………………..…92

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ABBREVIATIONS AND SYMBOLS

AA Anhydride acetic

ABS Acrylonitrile Butadiene Resins

AP Alkaline phosphatase

APCI Atmosphere-pressure chemical ionization

BADGE Bisphenol A dyglicyl ether

BA-ELISA Biotin-streptavidin amplified ELISA

BAN Bromoacetonitrile

BFDGE Bisphenol F dyglicyl ether

BFR Brominated flame retardant

BPA Bisphenol A

BPA-G Bisphenol A monoglucuronide

BPA-LC Bisphenol A leaching velocity

BPB Bisphenol B

BSA Bovine serum albumine

BSTFA N-O-bis(trimethylsilyl)trifluoroacetamide

bw body weight

C18 Octadecyl bonded encdcapped silica

C8 Octyl bonded endcapped silica

DCM Dichloromethane

DDT Dichlorodiphenyltrichloroethane

DLLME Dispersive liquid-liquid microextraction

dw dry weight

ECNI Electron chemical negative ionization

ED Endocrine disruptor

EFSA European Food Safety Authority

ELISA Enzime-Linked Immunosorbent Assay

EPA Environmental Protection Agency

ESI Electrospray ionization

EU European Union

FDA Food and Drug Administration

FMS Fluid Management Systems

GC Gas chromatography

GC-MS Gas chromatography-mass spectrometry

GC-MS/MS Gas chromatography tandem mass spectrometry

GPC Gel permeation chromatography

HBB Hexabromobenzene

HBCDD Hexabromocyclododecane

IPMA Instituto Português do Mar e da Atmosfera

LC Liquid chromatography

LC-MS Liquid chromatography-mas spectrometry

LC-MS/MS Liquid chromatography tandem mass spectrometry

LD50 Median lethal dose

LC50 Median lethal concentration

LLE Liquid-liquid extraction

LOD Limit of detection

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Log Pow octanol-water partition coefficient

LOQ Limit of quantification

m/z mass to charge ratio

MCF Methylchloroformate

MDL Method detection limit

MeCN Acetonitrile

MeOH Methanol

MIPs Molecular Imprinted Polymers

MQL Method quantification limit

MRM Multiple reaction monitoring

MS Mass spectrometry

MSFD Marine Strategy Framework Directive

MSPD Matrix solid-phase dispersion

MTBE tert-butylmethyl ether

MW Molecular weight

nd not detected

NIEHS National Institute of Environmental Health Sciences

NOEL No observable effect level

NOGE Novolacs diglycidyl ether

NP 4-nonylphenol

NTP National Toxicological Program

OP 4-tertoctylphenol

PAH Polycyclic aromatic hidrocarbons

PBDE Polybrominted diphenyl ether

PC Polycarbonates

PCB Perchlorinated biphenyls

PCP Polycarbonate plastic

PFC Perfluorinated compounds

PLE Pressurized liquid extraction

POC Persistent organic compounds

QMS Quadrupole mass analyser

REACH Commission Regulation No. 1907/2006 concerning the Registration,

Evaluation, Authorization and Restriction of Chemicals

RfD Reference Dose

SCHER Scientific Committee on Health and Environmental Research

SPE Solid-phase extraction

SPME Solid-phase microextraction

STD Standard deviation

TBBPA Tetrabromobisphenol A

TDI Tolerable dose intake

THF Tetrahydrofuran

TMCS Trimethylchlorosilane

UPLC Ultra performance liquid chromatography

ww wet weight

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I. Theoretical Part

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Chapter I Theoretical Part

1

1. World fisheries and seafood consumption

According to European Regulation No. 853/2004 “seafood comprises fishery products

and live bivalve molluscs, and no distinction is made between products coming from the

sea and other sources, nor between wild catch and aquaculture species”. It states that

fishery products include “all seawater or freshwater animals (except for live bivalve

molluscs, live echinoderms, live tunicates and live marine gastropods, and all mammals,

reptiles and frogs) whether wild or farmed, and including all edible forms, parts and products

of such animals” (ECR, 2004).

Fish production has been growing in the last five decades, as can be seen in Figure 1,

in aquaculture as well as the capture of rivers and oceans. Global capture fishery production

of 93.7 million tonnes in 2011 was the second highest ever (93.8 million tonnes in 1996)

(FAO, 2014). In 2009, the Northwest Pacific area was the largest contributor to global fish

supply (25%), followed by Southeast Pacific (16%) and Western Central Pacific (14%),

while the sixteen remaining marine fishing areas comprise 45% of average catches (FAO,

2011). In 2014, the Northwest and Western Central Pacific are the areas with highest and

still-growing catches (FAO, 2014).

Figure 1 – World capture fisheries and aquaculture production. Adapted from: FAO World Review of Fisheries and

Aquaculture. Rome, 2014

Million tonnes

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In 2011, the highest caught groups at the global level were: herrings, sardines,

anchovies; tunas, bonitos, billfishes, and cods, hakes, haddocks (FAO, 2013b). These

species are the more commonly consumed by human population and in 2011, 85% of

production derived for human consumption while the other 15% was destined to non-food

purposes like reduction to fishmeal and fish oil, utilization as fish for ornamental purposes,

for culture (fingerlings, fry, etc.), for bait, for pharmaceutical uses as well as raw material for

direct feeding in aquaculture, for livestock and for animals (FAO, 2012). However, a

considerable portion of the fish consumed in developed countries is not due to their own

production but from imports, being expected an increasing tendency in coming years,

mostly owing to steady demand and declining of domestic fishery catch (FAO, 2012).

Table 3 - Fish production in 2000 and 2004 and expectations for future years. Adapted from: FAO Review of

the state of world marine fishery resources. Rome, 2005.

In Europe, seafood consumption varies widely across countries. Consumption is

concentrated in the South, especially Spain and Portugal, where each consumer eats more

than 40kg of seafood per year. In the South, consumers eat a wide variety of seafood

including squid, shrimp, tropical fish and locally captured fish. In the Netherlands and

Western Europe, each consumer eats 15-25 kg of seafood per year. The variety of fish is

smaller in Western Europe than in the South. Eastern European consumers eat 5-10 kg of

seafood per year and tend to eat locally produced carp or imported fish such as pangasius

and tuna (FAOSTAT, 2014).

2000 2004 2010 2015 2020 2020 2030

Capture (MT)

95.6

95.0

93

105

93

116

93

Aquaculture (MT) 35.5 45.5 53 74 70 54 83

Total production (MT) 131.1 140.5 146 179 163 170 176

Percentage used for food fish 74% 75% 82% 85% 77% 85%

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1.1. Nutritional value of seafood

Researchers worldwide are in agreement that eating fish regularly - one or two servings

weekly - may be very effective on the promotion of a healthy life. Being a high-protein, low-

fat food and an excellent source of omega 3 fatty acids, fish consumption are known to

reduce the risk of various diseases and disorders like cancer, cardiovascular, dementia,

depression, diabetes, among others (Domingo, 2014) as well as may prolong life after a

heart attack, lowers blood triglycerides (fats), may improve heart, can lower blood pressure

and may decrease symptoms of inflammatory diseases, arthritis and psoriasis.

A portion of 150 g of fish can provide about 50–60 percent of an adult’s daily protein

requirements. In 2010, fish accounted for 16.7 percent of the global population’s intake of

animal protein and 6.5 percent of all protein consumed (FAO, 2014).The cholesterol content

of most fish is similar to red meat and poultry, however some fish are relatively high in fat

such as salmon, mackerel and catfish but most of the fat it has is poly-unsaturated. Omega

3 fatty acids help lower blood pressure and triglyceride levels. Fish is also a good source of

B Vitamins B-6, B-12, biotin and niacin. Vitamin A is found mainly in fish liver oils, but some

high fat fish are good sources of this vitamin. Fish is also a good source of several minerals,

especially iron, phosphorus, potassium and zinc. Canned fish with edible bones, such as

salmon or sardines, are also rich in calcium (Domingo, 2014).

1.2. Contaminants and Seafood Accumulation

Marine ecosystems are the end point of several chemicals that are present in rivers by

discharges or atmospheric deposition. These environmental problem is not only a potential

ecological hazard but also a public health hazard since these pollutants can be present in

marine food items through accumulation in marine biota (Vandermeersch et al., 2015).

Contamination of seafood during production, processing and storage can also occur.

Fish and shellfish have been identified as the food items typically showing the highest

concentrations of a number of harmful environmental contaminants (Llobet et al., 2003,

Bocio et al., 2005) like perchlorinated biphenyls (PCBs), dioxins, residues of pesticides,

toxic elements, and new emerging contaminants (Domingo, 2007).

Nowadays, emerging organic pollutants can vary from pharmaceuticals and hormones

to pesticides, surfactants and plasticizers. Simultaneously to the decrease of many legacy

persistent organic contaminants (POCs), such as dichlorodiphenyltrichloroethane (DDT)

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and PCBs, in Arctic marine biota, new contaminants are emerging, like perfluorinated

compounds (PFCs) (Cruz et al., 2015).

According with the European Union (EU) Marine Strategy Framework Directive (MSFD)

(Directive 2008/56/EC; ECD, 2008), “Priority Contaminants” embraces all harmful

contaminants in seafood that might constitute a risk for human health and for which there

are scarce scientific knowledge. It includes substances for which no maximum levels have

been laid down yet (in EU legislation or international standards), as well as substances for

which maximum levels have been provided but require revision.

In 2010, the MSFD compiled the regulatory levels for some substances, including

heavy metals (lead, cadmium and mercury), polycyclic aromatic hydrocarbons (PAHs),

polychlorinated dibenzo-p-dioxins, polychlorinated dibenzofurans, dioxin-like PCBs, and

radionuclides, establishing seven classes of compounds as chief Priority Contaminants,

ordered according to priority as: 1) Non-dioxin-like PCBs (congeners #28, 52, 101, 138, 153

and 180); 2) BFRs; 3) PFCs; 4) Arsenic (total and inorganic); 5) Organotincompounds

(tributyltin, triphenyltin, dibutyltin); 6) Organochlorine pesticides (chlordane,

dichlorodiphenyltrichloroethane, dicofol, endosulfan, heptachlor, aldrin, dieldrin, endrin,

hexachlorocyclohexane, toxaphene, hexachloro-benzene), and 7) Phthalates

(benzylbutylphthalate, dibutyl phthalate, di-2-ethylhexyl phthalate, diisodecyl phthalate,

diisononyl phthalate, diisobutyl phthalate) (Swartenbroux et al., 2010).

Meanwhile, several governmental and health authorities became highly concerned with

seafood quality and safety, increasing regulation for specific contaminants and supporting

the development of specific actions regarding major sea-related challenges.

The information currently available on the levels of several emerging environmental

contaminants in seafood is rather fragmented and is not harmonized which may hinder the

elaboration of seafood risk assessment. Therefore, a unique European database

(www.ecsafeseafooddbase.eu), based on information collected from scientific literature,

reports and monitoring programs concerning emerging contaminants levels in seafood, was

developed within the ECsafeSEAFOOD project (www.ecsafeseafood.eu).

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2. Seaweeds

Seaweeds are macroscopic, multicellular, marine algae attached to rock or other hard

substrata that have been used over the centuries in many applications: food, filtration,

fertilizer, gelling agents and others (Fleurence, 1999).

According to CEVA, the French study center for algal development, world production

of seaweed has been increasing constantly since 1950, reaching 14.7 million tonnes in 2009

(Figure 2). Almost all of this production comes from Asia with Europe representing just

0.01%. An estimated 800 tonnes per year of seaweed is harvested in France with 23

different varieties being authorized for food use (CEVA, 2009).

This is leading to an innovative product range including spreadable, salads, marinates

as well as salted and dehydrated presentations. It has gained more acceptances in regions

like California and Hawaii, where communities of Japanese are larger. On the east coast of

United States of America and Canada, some companies have begun cultivating seaweeds

for human consumption, and their markets are growing. With the current trend for

consumers to embrace organically grown foods and "natural" foods from clean

environments, seaweeds should receive an increasing acceptance (FAO, 2003).

These algae are consumed by coastal people, particularly in East Asia,

e.g. Japan, China, Korea, Taiwan, Singapore, Thailand, Cambodia, and Vietnam and also

in South Africa, Indonesia, Malaysia, Belize, Peru, and Chile, where they are normally

Figure 2 – World seaweed production. CEVA

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eaten fresh seaweeds as salad components. Since people from these countries have

migrated to other parts of the world, nowadays there are more countries consuming

seaweeds in a normal daily basis. Although still a niche product in Europe, seaweed is also

becoming better known and is considered a natural food and ingredient (CEVA, 2009).

2.1. Nutritional value of seaweeds

There are three types of seaweeds that can be distinguished based on their nutrient

and chemical composition: brown algae (phylum Ochrophyta, class Phaeophyceae), red

algae (phylum Rhodophyta), and green algae (phylum Chlorophyta, classes

Bryopsidophyceae, Chlorophyceae, Dasycladophyceae, Prasinophyceae, and

Ulvophyceae). Red and brown algae are mainly used as human food sources (Ratana-

arporn and Chirapart, 2006).

. Compared to terrestrial animals and plants, seaweeds are rich in dietary fibre, omega

3 fatty acids, essential amino acids, and vitamins A, B, C and E. Despite having a simpler

appearance, these seaweeds are high in nutrients and pack a variety of health benefits.

These include digestive health, cholesterol-lowering effects and weight loss (Rajapakse and

Kim, 2011).

In addition to their use as food, macroalgae have been much in demand for

environmental technology.

2.2. Contaminants and Seaweed Phytoremediation

The introduction of organic pollutants and heavy metals in the aquatic systems through

industrial discharges, agricultural uses, or waste disposal can cause serious problems. The

persistence of these chemicals in the environment can lead to its destruction as well as

damage to organisms, affecting negatively the stability of many aquatic ecosystems and

can also cause adverse effects on human health (Perelo, 2010).

Recently, there has been increasing interest on a green technology that uses certain

plant species, as algae, which accumulate, translocate and concentrate high amounts of

certain toxic elements in their aboveground/harvestable parts. This happens via

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mechanisms involving photosynthesis, transpiration, metabolism and mineral nutrition to

remove degrade or render harmless pollutants in aquatic systems. It is called

phytoremediation (Jatav and Singh, 2015) and has several different process associated

with it (Figure 3).

Natural contamination of freshwater by heavy metals (Cd, Pb, Se, As…) has become

a crucial water quality problem in many parts of the world. For example, one of the main

causes of the widespread arsenic poisoning is the growing current trend around the world

of drinking water from polluted underground and surface water, naturally and anthropogenic

sources.

Macroalgae are capable of accumulating metals within their tissues by their

immobilization in the cell wall or by their compartmentalization in vacuoles. This ability led

to their widespread use as biomonitors of metals availability in marine systems. Chlorophyta

and Cyanophyta are hyper-absorbents and hyper-accumulators for arsenic and boron,

absorbing and accumulating these elements from their environment into their bodies

(Chekroun and Baghour, 2013). Another mechanism of remotion of heavy metals from the

aquatic environment results from the strong affinity of these metals to some cell wall

PHYTOEXTRACTION

Uptaking of pollutants, translocation

into plant and storage in the

aboveground/harvestable parts.

PHYTODEGRADATION

Modification, inactivation,

degradation or immobilization

of the polluants through plants

mechanisms.

RHIZOFILTRATION

Absorption and adsorption of

aquatic pollutants by algae.

Figure 3 – Phytoremediation processes applicable for the remediation of toxic compounds by

plants.

PHYTOVOLATILIZATION

Removal of contaminants from

soil and water and consequent

release in the form of gas.

PHYTOSTABILIZATION

Reduction of the mobility and

phytoavailability of pollutants in

soil/water but no remotion.

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components in macroalgae. It is the example of the brown algae (Phaeophyta) which

accumulate metals due the high levels of sulfate polysaccharides and alginates within their

cell walls (Chekroun and Baghour, 2013). Other metals have been eliminated from the

environment like lead, nickel, copper, cadmium, strontium, chromium, mercury U(VI) by

marine micro and macroalgae (eg. Chlorella, Ulva, Sargassum, Fucus and Ascophyllum)

(Cheney et al., 2014).

There have been very few studies, however, that have examined the ability of

macroalgae to accumulate persistent organic pollutants from marine waters or sediments.

The earliest report of a macroalgae taking up and concentrating PCB from sediment is that

of Larsson (1987) who described the ability of a freshwater green macroalga, Cladophora

glomerata, to take up and concentrate PCBs to a level of 3.6 µg/g dry weight (dw) from an

artificial fresh water pool containing sediment with a PCB concentration of 2.7 µg/g dw after

two months (Larsson, 1987). Recently, Wang and Zhao (2007) reported that Laminaria

japonica, in laboratory conditions, have great ability to take up and metabolize

phenanthrene and pyrene. At a PAH concentration level of 0.1 mg/L, the seaweed tolerated

and survived well for up two weeks and 90% phenanthrene and pyrene were removed and

subsequently degraded (Wang and Zhao, 2008).

Some microalgae species have shown to biotransform organic pollutants such as

chlorophenol, bisphenol A and tetrabromobisphenol A, which can be an important first step

for its subsequent degradation in the environment (Hirooka et al., 2005, Sun et al., 2007).

Hirooka et al. in 2005, studied the removal of BPA by the green alga Chlorella fusca. The

investigators considered that C. fusca can be considered a useful organism to remove BPA

from landfill leachates since this seaweed was able to remove BPA from the media with a

capacity depending on the light/dark conditions (Hirooka et al., 2005). The accumulation of

TBBPA and its consequent biological responses were examined in coontail (Ceratophyllum

demersum L.) in the study of Sun et al. (2007). Most of the TBBPA was accumulated after

4 day exposure and TBBPA concentration in plant increased with decreasing TBBPA

concentration in growth solution. The researchers found that the TBBPA exposure

increased total free radicals generation in the plants as well as lipid peroxidation and

decreasing on the chlorophyll content. These results suggested that C. demersum is able

to accumulate TBBPA removing it from the environment, which induces oxidative stress

(Sun et al., 2007).

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3. Importance of studying BPA and TBBPA in

seafood and seaweed

Synthetic chemicals like TBBPA and BPA are included in the group of priority

environmental contaminants in seafood. Because of the persistence, bioactivity and

bioaccumulation potential, concern is increasing about the possible harmful effects on

ecosystems and human health.

Despite having a soil half-life of only 1–10 days, BPA's ubiquity makes it an

important pollutant. In 2010, the U.S. Environmental Protection Agency reported that over

one million pounds of BPA are released into the environment annually (Erler and Novak,

2010). BPA can enter the environment either directly or indirectly. Directly in the leaching

from chemical, plastics coat and staining manufacturers, from paper or material recycling

companies, or indirectly in the leaching from plastic, paper and metal waste in landfills (EPA,

2011) or ocean-borne plastic trash (Barry, 2009). This could lead to aquatic environment

contamination and consequently to the wild life and plants in that habitat. Even though a

study conducted in the US in 2005 had found that up to 91% of BPA may be removed from

water during treatment at municipal water treatment plants (Drewes et al., 2005), a 2009

analysis of BPA in the water system showed that this ED is present in the surface water

and sediment in the US and Europe (Klečka et al., 2009).

Resulting from the bromination of BPA, TBBPA is its tetrabrominated form, TBBPA

released into wastewater would likely be transported to a treatment facility. Most TBBPA

entering a treatment plant will sequester into sludge, which can be applied to soil; however,

small amounts (Kuch and Ballschmiter, 2001) have also been measured in final effluents

discharged into receiving waters. Materials in landfills are subject to weathering, releasing

TBBPA particulates or polymer-associated TBBPA, primarily into soil and, to a lesser extent,

water and air. Currently, there have been no experiments conducted on the leachability of

TBBPA from polymers in landfills; however, leaching over extended time periods is a

possibility given that TBBPA has some solubility in water (EU RAR 2008). Uncontrolled

burns and accidental fires may release TBBPA into air, and ash from both controlled and

uncontrolled incineration may contain TBBPA and other potentially hazardous degradation

products (EU RAR 2008).

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Aware that seafood is a major dietary route for human exposure to these widespread

contaminants, one of the main purposes of ECSafeSEAFOOD was the monitorization of the

priority environmental contaminants in seafood and the assessment of the effects of

industrial and home preparation on contaminant content. In this work, we tried to access

the levels of BPA and TBBPA in several seafood from rivers, seas, oceans, and aquaculture

in their raw form as well as cooked. This evaluation was also made in seaweeds commonly

used in feeding a large part of world population. Regarding this, is fundamental to introduce

these two chemicals with a resume of their most important properties, sources of exposure,

metabolism routes and associated legislation, further enhancing various aspects of

possibilities for their detection and quantification in food products.

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4. Bisphenol A

4.1. Properties of BPA

Bisphenol A, also known as BPA or 4-[2-(4-hydroxyphenyl)propan-2-yl]phenol, is one

of the highest-volume chemicals produced worldwide (Schug et al., 2012). It results from

the condensation of 2 mol of phenol with 1 mol of acetone in the presence of an acid catalyst

(Figure 4). It has the chemical formula C15H16O2, with a molecular weight (MW) of 228.29

g/mol belonging to the group of diphenylmethane derivatives and bisphenols. BPA is a

moderately water-soluble compound (300 mg/L at room temperature) and it dissociates in

an alkaline environment (pKa 9.9–11.3).

In 2011, the global BPA production reached approximately 4.4 million tonnes. In 2012,

it grew by just over 372,000 tonnes if compared to the previous year and surpassed the 4.7

million tonnes mark. Asia is the dominant BPA manufacturer with nearly 53% share of the

overall production volume followed by Europe and North America, holding 25% and 18%

market shares, respectively. The USA, Taiwan, China, South Korea and Japan are the top

five BPA producers worldwide (World BPA Production Grew by Over 372,000 Tonnes in

2012. Available from: http://mcgroup.co.uk/news/20131108/bpa-production-grew-372000-

tonnes.html).

Figure 4 – Synthesis of bisphenol A from the reaction of phenol with acetone in the presence of an acid catalyst. Adapted from: http://commons.wikimedia.org/wiki/File:Synthesis_Bisphenol_A.svg

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4.2. Sources of exposure to BPA

4.2.1. Packages

BPA is used in the production of Polycarbonates (PC). These are a group of

thermoplastic polymers produced by the condensation/polymerisation reaction of BPA and

carbonyl chloride (Figure 5) or by melt-transesterification reaction between BPA and

diphenylcarbonate used in a wide variety of common products including baby bottles, water

bottles, digital media (e.g. CDs, DVDs), electronic equipment, automobiles and medical

devices.

Leakage of BPA from PC into liquid foods can occur in two different manners: i)

diffusion of residual BPA present in PC after the manufacturing process and hydrolysis of

the polymer, metal ion or acid base catalysed when in contact with aqueous food and

stimulants (Mercea, 2009); ii) release of BPA from PC containers into food dependent on

the contact time, temperature, and type and pH of the food stimulant (Hoekstra and

Simoneau, 2013, Aschberger et al., 2010, Kitahara et al., 2010). High temperatures as well

as acidic and alkali solutions cause polymer degradation via hydrolysis, resulting in

increased BPA migration. After incubation for 8, 72, and 240 h in food-simulating solvents

(10% ethanol at 70°C and corn oil at 100°C), mean BPA migration increased with incubation

time (Wong et al., 2005). After a sequence of washing and rinsing, Le et al. (2008) found

that new PC bottles leached 1.0 ± 0.3 µg/mL BPA (mean ± standard deviaton (STD)) into

the bottle content after incubation at room temperature for 7 days (Le et al., 2008). Sajiki

and Yonekubo have observed that BPA leaching velocity (BPA-LV) from a polycarbonate

plastic (PCP) to a solution of 50 mM glycine at pH 6 or 7 was twice that to control water,

and leaching was enhanced above pH 8. At pH 11, BPA-LV was significantly higher in 50

mM glycine and methionine solutions than in 50 mM NaOH. These results indicate that

Figure 5 – Production of polycarbonate by the condensation polymerisation reaction of BPA and carbonyl chloride. Adapted from: http://en.wikipedia.org/wiki/Polycarbonate

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basic pH and amino acids contained in water could accelerate BPA leaching (Sajiki and

Yonekubo, 2004).

As an answer to consumer worries, companies have been producing “BPA-free” plastic

water bottles, alternatives to PC plastic bottles. However, epoxy derivatives of BPA are still

the most common monomer substrates used to form the “epoxy resin” polymer (Cooper et

al., 2011).

Epoxy resins represent the second largest use for BPA (Figure 6). With good

mechanical properties (high temperature and chemical resistance), they are used as

thermosetting polymers with an extensive range of applications. This polymer is present in

nearly all soda and beer cans and also in the most diverse canned foods such as fish,

vegetables, fruit and other foods with this type of conservation (WUR, 2012). Despite of

epoxy resins as inner coatings protect several metallic food cans from rusting and corrosion,

the sterilization process can be responsible for the leach of BPA from the can into the food

(Múngia-López et al., 2005, Sajiki et al., 2007). Factors such as coating types, amount of

coating, manufacturing and processing conditions appear to be highly important factors

influencing the amount of migrated BPA into the food (Goodson et al., 2004).

Several studies report the presence of BPA in canned foodstuff worldwide. For

example, recently the study of Geens et al. in 2010, where BPA concentrations in canned

beverages ranged from <0.02 µg/l to 8.10 µg/l (Geens et al., 2010), and the study of Cunha

et al. (2011) that reported the presence of BPA and bisphenol B (BPB) in canned beverages

Figure 6 – Production of epoxy resins. Adapted from: http://www.mdpi.net/ecsoc-5/e0035/Figure1.gif

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and powdered infant formula in the Portuguese market. In this study, BPA was detected in

twenty-one of thirty canned beverages (ranging from 0.03 to 4.70 µg/l) and in two of seven

powdered infant formula samples (0.23 and 0.40 µg/l) (Cunha et al., 2011). The potential

exposure is dependent on contact surface, time and temperature and is more likely to

happen with the high temperature processing conditions and the long shelf-life of canned

foods (Rathee et al., 2012).

Another application of BPA is on thermal paper, which is used as point-of-sale receipts,

labels, tickets, and print-outs from recording for example. This is a special fine paper that is

coated with a chemical that changes color when exposed to heat (Figure 7). This coating is

made from a leuco dye and a phenol developer such as BPA. On printing, a thermal head

causes the coating components to melt and react with each other, causing the dye to

become dark (Mendum and Stoler, 2011, Bierdermann et al., 2010).

Exposure can occur through oral and dermal exposure, although there is no consensus

about absorption of BPA through the skin (Environmental Working Group, 2010).

Biedermann et al. (2010) discovered that the total mass of BPA on a receipt is 250–1000

times higher than the amount of BPA typically found in a can of food or baby formula, as

well as the amount that leaches from a BPA based plastic baby bottle (Biedermann et al.,

2010). The hypothesis of dermal absorption of BPA after contact with thermal paper

becomes more probable since Zalko et al. (2011) observed that viable skin efficiently

absorbs BPA in short-term cultures and also an extensive metabolisation of BPA into BPA-

monoglucuronide (BPA-G) and BPA-monosulfate into the skin (Zalko et al., 2011). This

suspicion was also raised by Braun et al. (2011) who found significantly higher urinary BPA

Figure 7 – Thermal paper. Adapted from: https://www.sciencenews.org/article/receipts-large-%E2%80%94-and-largely-ignored-%E2%80%94-source-bpa

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concentrations in cashiers, who had frequent contact with thermal paper, compared to

women with other occupations (Braun et al., 2011).

4.2.2. Ambient

The atmosphere is a geochemical reservoir of various organic compounds, interacting

with the oceans, land, and living organisms including human beings. One important

environmental issue is the origin, transport and fate of organic pollutants in atmospheric

aerosols and their health effects (Fu and Kawamura, 2010).

BPA is a pseudo-persistent chemical, ubiquitous in the environment because of

continuous release which can occur during chemical manufacture, transport, and

processing. Post-consumer releases are primarily via effluent discharge from municipal

wastewater treatment plants, leaching from landfills, combustion of domestic waste, and the

natural breakdown of plastics in the environment (US Environmental Protection Agency,

2011).

Characterized with a moderate hydrophobicity, BPA has a modest capacity for

bioaccumulation. Based on these various characteristics, it is estimated that the largest

environmental compartments of BPA are abiotic and are associated with water and

suspended solids (~53%), soil (~25%), or sediments (~22%) (Flint et al., 2012).

BPA has a moderate affinity for soil organic matter, being improbable its mobility or

bioavailability in soils (Fent et al., 2013). However, mobility can be affected by soil chemistry

and texture. Reports of increased BPA sorption in the presence of iron, cadmium, and lead

are consistent but results conflict with regards to the influence of soil pH (Li et al., 2007).

4.2.3. Wildlife

BPA is rapidly degraded in the environment through both microbial biodegradation and

photodegradation and has a low potential to bioaccumulate in animals. Still, aquatic

organisms that are in proximity of point source outputs of BPA are at the greatest risk of

harmful effects of BPA (Crain et al., 2007, Oehlmann et al., 2009), including bioaccumulation

and biomagnification in the food chain.

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4.3. Metabolism and toxicity of BPA

Rodents have been used in toxicokinetic studies of BPA. However, there is a significant

difference in the distribution of BPA in humans and rodents (Figure 8).

In humans, metabolism of BPA is dominated by Phase II conjugation reactions of

detoxification where the metabolite monoglucuronide conjugate (BPA-G) derived by

glucuronidation reaction catalyzed by the uridine-5’-diphospho(UDP)-

glucuronosyltransferase UGT2B15 (enzyme localized in the endoplasmic reticulum

responsible for the conversion of small lipophilic compounds, such as BPA, to charged,

water-soluble glucuronides) (Hanioka et al., 2008, Mazur et al., 2010). In a lower extent,

BPA sulfation can also occur and is mediated probably by the sulfotransferase isoform

SULT1A1, the isoform with the highest kcat/KM value for BPA conjugation (Nishiyama et

al., 2002). Unlike the aglycone form of BPA, BPA-G does not bind to the estrogen receptor

or show estrogen activities (Matthews et al., 2001). Hence, it is important to investigate the

toxicokinetics of unchanged BPA, not metabolites, for prediction of the toxicity of BPA in

humans. In rats BPA-G is excreted predominantly via the bile into feces and then undergoes

enterohepatic recirculation while in humans and monkeys it is rapidly excreted into the urine

Figure 8 – Schematic diagram depicting the glucuronidation of BPA in the liver and the route of elimination of unconjugated BPA from serum in rodents and primates after initial absorption from the gut and transport to the liver.

Adapted from: Taylor, J. et al. (2011) “ Similarity of Bisphenol A Pharmacokinetics in Rhesus Monkeys and Mice: Relevance for Human Exposure” Environmental Health Perspectives 119, 422-430

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with a faster clearance (Volkel et al., 2002) (less than 6h) than in rats (over 19h) (Mazur et

al., 2010).

There are others limitations for BPA metabolism studies such as difficulties in

identifying individuals that are completely unexposed to BPA from the environment. Further,

all of the current metabolic studies are based on kinetics following a single, usually high

dose, while current evidence indicates that humans are experiencing multiple exposures

each day.

A threshold model is being used by toxicologists when assessing the effects of possible

EDs. This model relies on the principle that “the dose makes the poison,” implying that

higher doses were expected to cause greater harm, defining NOEL (no observable effect

level) by assessing different doses of a chemical.

The European Food Safety Authority (EFSA, 2007) established a value of 50 ng/g.day

as the tolerable daily intake (TDI) and the US Environmental Protection Agency (EPA, 2009)

established the same as the reference dose (RfD). These organizations conclude that

current BPA levels present no risk to the general populations. However, non-linear

relationships between dose and response have been observed for some EDs when it trigger

observable effects at very high and low doses but almost no effect at moderate doses, for

example (Lemos et al., 2009).

EDs can have detrimental effects during specific stages of development and no

discernible effect during other life stages. Such chemicals may necessitate changes to

toxicological study methods. It has been suggested by some toxicologists that the threshold

model routinely used for risk assessment purposes by government agencies, including the

EPA, should be rejected and replaced entirely (Matsumoto, 2002). Many of these studies

examine only animals exposed during adulthood and thus lack information about progenies

of animals treated during pregnancy. Conclusions reported by Lang et al. in 2008 suggest

that follow-up longitudinal studies are crucial on infants, children, and adolescents, as well

as pregnant women and fetuses. The fetus and infant are believed to be more susceptible

to the estrogenic effects of BPA because of small body size and limited capacity to

metabolize this substance (Lang et al., 2008).

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4.4. Legislation

In last years, the National Institute of Environmental Health Sciences (NIEHS) and the

Food and Drug Administration (FDA) have been working together to address potential

health concerns about BPA. In September 2008, the National Toxicological Program (NTP)

completed a review of available research on BPA and concluded that there was “some

concern for effects on the brain, behavior, and prostate gland in fetuses, infants, and

children at current human exposures.” (NTP-CERHR, 2008). In 2009, FDA provided

updates to the previous assessment and expressed its agreement with the NTP’s

perspective (FDA, 2013).

In order to improve risk assessment studies concerning this ubiquitous chemical,

NIEHS launched in 2009 a multipronged research program designed to fill remaining gaps

and resolve controversies about BPA toxicity studies (Figure 9) (Birnbaum et al., 2012).

In Europe, after concluding full risk assessment of BPA in 2006, EFSA set a TDI of 50

µg/kg bw.day for this substance. Between 2008 and 2011, new risk evaluations were made

however the results did not justified the alteration of the TDI stablished in 2006. New

scientific studies request that EFSA carries out a full re-evaluation of the human risks

Figure 9 – Elements of the NIEHS BPA research program. NIOSH, National Institute for Occupational Safety and Health. Adapted from: Birnbaum, L; Bucher, J; Collman, G; Zeldin, D; Johnson, A; Schug, T; Heindel, J. (2012)

“Consortium-Based Science: The NIEHS’s Multipronged, Collaborative Approach to

Assessing the Health Effects of Bisphenol A.” Environmental Health Perspectives 120, 1640-44

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associated with exposure to BPA through the diet, also taking into consideration the

contribution of non-dietary sources to the global exposure to this chemical (EFSA, 2013).

In January 2014, EFSA presented the draft opinion in which concluded that for all population

groups diet is the major source of exposure to BPA and exposure is lower than previously

estimated and also identified likely adverse effects on the liver and kidney and effects on

the mammary gland as being linked to exposure to the chemical. It therefore recommended

that the current TDI be lowered from its current level of 50 µg/kg bw.day to 5 µg/kg bw.day.

At the beginning of 2015, EFSA released a new report where it concluded that “BPA poses

no risk to human health from foodstuffs because current levels of exposure are well below

the temporary TDI of 4 µg/kg bw.day. This also applies to pregnant women and to the

elderly. In addition, EFSA’s experts concluded that the health concern from the aggregated

exposure to BPA from foodstuff, toys, dust, cosmetics and thermal paper is also below the

temporary TDI of 4 ng/g bw.day. The uncertainty in the exposure estimate from toys, dust,

cosmetics and thermal paper is considerable due to the very limited availability of data. The

new TDI is dependent on the results of the NTP Program in 2016.

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5. Tetrabromobisphenol A

5.1. Properties of TBBPA

According to EFSA, “Brominated flame retardants (BFRs) are anthropogenic chemicals

that are added to a wide variety of consumer/commercial products in order to improve their

fire resistance. There are 5 major classes of BFRs: brominated bisphenols, diphenyl ethers,

cyclododecanes, phenols and phthalic acid derivatives.” (EFSA, 2011). TBBPA falls within

the category of the brominated bisphenols.

TBBPA, from the IUPAC name 2,2′,6,6′-Tetrabromo-4,4′-isopropylidenediphenol, is

a BFR derived from the bromination of BPA, consisting of two hydroxyphenyl rings linked

by a carbon bridge, with bromine substitution at the 3, 3′, 5 and 5′-positions (Figure 10).

TBBPA is produced by the bromination of BPA with various solvents such as halocarbon

alone, hydrobromic acid, aqueous alkyl monoethers, acetic acid or methanol (MeOH). With

the molecular formula C15H12Br4O2 and a MW of 543.9 g/mol, it has two pka values (7.5 and

8.5) since it has two phenol groups (EFSA, 2012). TBBPA is characterized by a high lipid

solubility (the protonated compound with a log Kow of 9.7), and low volatility (EFSA, 2011).

At 25ºC, it has low solubility in water (4.16 mg/l), in MeOH (920 g/l) and in acetone (2400

g/l) (http://www.inchem.org/documents/ehc/ehc/ehc172.htm#SubSectionNumber:1.1.2,

accessed on March 2015).

Figure 10 – Tetrabromobisphenol A. Adapted from: http://www.bsef.com/about-tbbpa/

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In 2004, TBBPA had an annual global production of more than 170 million tons, though

only 20-30% of the total volume produced was used as an additive flame retardant on

material subject to environmental leaching (ECB, 2006). Today, TBBPA is now the most

heavily manufactured BFR in the world, with global production currently topping 200 million

tons a year. It is produced in Israel, the United States, Jordan, Japan and China. The region

with the highest demand for TBBPA is Asia, due to the high volume of printed wiring boards

and electronics components manufactured in that region (Masten, 2002).

5.2. Sources of exposure to TBBPA

5.2.1. Epoxy resins and polymers

TBBPA is mainly used as a reactive flame retardant in epoxy, vinyl esters and PC

resins. The main application of TBBPA in epoxy resins is in printed circuit boards where the

bromine content may be 20% by weight (Figure 11). Its application can be additive or

reactive. When used as a reactive component, TBBPA is covalently bounded to the polymer

by the phenolic hydroxy groups, being incorporated into it. However, the polymer can also

contain a portion of unreacted TBBPA in excess not bounded to the polymer which can

easily leach out from the polymer matrix into the environment and subsequently result in

exposure of animals and humans (EFSA, 2011). On the other hand, when TBBPA is used

as an additive component, the molecules are not part of the structure of the polymer itself

and can be released into the environment more readily (Birnbaum, 2004). Printed circuit

boards are used in communication and electronics equipment, electronic appliances,

transportation devices, sports and recreation equipment, lighting fixtures and signs (Covaci

et al., 2009).

Figure 11 – TBBPA application in expoxy resins in printed circuit boards. Adapted from:

https://www.olimex.com/PCB/

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TBBPA was measured in the air near a printed circuit boards production site at a level

of 1.8 μg TBBPA per m3 (Zweidinger et al., 1979). Studies in Japan have found TBBPA in

soil and sediment at concentration ranges of 0.5–140 μg/kg dw and 2–150 μg/kg dw,

respectively (Watanabe et al., 1983). Data are very limited regarding the presence of

TBBPA in biota, which may reflect its relatively short half-life in air, water, and sediment.

Human TBBPA serum levels were measured by Jakobsson et al. (2002), who found TBBPA

in 8 of 10 samples from computer technicians, at levels ranging from 1 to 3.4 pmol/g lipid

(Jakobsson et al., 2002).

The second major application of TBBPA is when used also as a BFR in polymers such

as acrylonitrile butadiene styrene (ABS) resins, high impact polystyrene (HIPS), phenolic

resins, adhesives, paper, and textiles and others. Additive use accounts for approximately

10% of the total use of TBBPA (ECB, 2006).

More recently, TBBPA has been quantified in sewage sludge samples in Spain, along

with other BFRs, being detected in concentration range of nd-472 ng/g (Gorga et al., 2013).

Harrad and Abdallah (2011) determined TBBPA presence in dust from the four seats in five

different cars, measuring usually higher levels in the front seats (Harrad and Abdallah,

2011). Ni and Zeng (2013) found considerable amounts of TBBPA in air conditioning filter

dust, showing how inhalation might constitute a major pathway for human exposure to this

BFR (Ni and Zeng, 2013).

TBBPA is also used in the manufacture of derivatives such as TBBPA bismethyl ether

(TBBPA-bME), TBBPA bis(2,3-dibromopropyl)ether (TBBPA-bDiBPrE), TBBPA bisallyl

ether (TBBPA-bAE), TBBPA bis(2-hydroxyethyl) ether (TBBPA-bOHEE), TBBPA

brominated epoxy oligomer, and TBBPA carbonate oligomers. The main use of these

derivatives is as flame retardants, usually in niche applications. (EFSA, 2011).

5.2.2. Ambient

Releases of TBBPA into the environment occur primarily through various waste

streams generated during manufacture, processing and upon disposal of the substance and

products containing the substance (i.e. dismantling, recycling, landfills, incineration,

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accidental fires and sewage sludge applications for agricultural purposes), normally where

it was introduced as an additive flame retardant (EU RAR, 2008).

Experimental microbial degradation studies have shown that in sediments under

anaerobic reducing conditions TBBPA can be completely dehalogenated to BPA (Ronen

and Abeliovich, 2000; Voordeckers et al., 2002; Gerecke et al., 2006). Ronen and

Abeliovich (2000) also showed that BPA can be further degraded under aerobic conditions,

indicating that an sequential anaerobic-aerobic process may possibly be used to completely

degrade TBBPA present in contaminated soil.

5.3. Metabolism and toxicity of TBBPA

The studies concerning the metabolism of TBBPA are limited. In an early study, Brady

(1979) concluded that TBBPA is poorly absorbed from the gastrointestinal tract after

administered a single oral dose (6.5–7.5 mg/kg) of 14C-labeled TBBPA to rats. The

researcher found more than 95% of the parent TBBPA dose in the feces and 1.1% in the

urine in 72h following administration (Brady, 1979).

Later in 2001, other researchers detected peak concentrations of 14C-TBBPA 1h

following intraperitoneal administration (250 or 1,000 mg/kg) in all tissues, with higher

concentrations in the fat, followed by the liver, sciatic nerve, muscles, and adrenals

(Szymanska et al., 2001). The analysis of the feces showed that 10% of the radiolabeled

material in the feces was tribromobisphenol A, suggesting rapid elimination in the bile and

possible debromination by gastrointestinal flora (Szymanska et al., 2001).

One human study examined the half-life of TBBPA in exposed Swedish computer

technicians, observing that this BFR has an estimated half-life in blood serum of 2.2 days.

(Hagmar et al., 2000).

Concerning the effects of TBBPA in fish, a few studies have been made more recently.

In 2012, Chan and Chan have observed the effects of TBBPA in zebrafish. Based on their

results, it can be perceived the induction of thyroid α-receptor, thyroid stimulating hormone,

and transthyretin genes in zebrafish embryo–larvae (Chan et al., 2012), since this chemical

compete with the binding of T4 to plasma transport proteins (Meerts et al., 2000, Hamers

et al., 2006). Regarding its endocrine disruption in fish, TBBPA has shown low but multiple

hormonal activities in mosquitofish (Gambusia affinis) with significant up-regulation of

vitellogenin and estrogen receptors mRNAs in the liver and testis, after exposure to 500 nM

and 50 nM of TBBPA, respectively (Huang et al., 2013).

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Liver enzymatic activity upon TBBPA chronic exposure has been evaluated in crucian

carp, revealing irreversible damage for concentrations higher than 0.92–1.30 Μm (S. Yang

et al., 2013). Hepatic oxidative stress was observed in goldfish (Carassius auratus) after

prolonged exposure to TBBPA (Feng et al., 2013).

About its toxicity, the higher median lethal dose (LD50)) and median lethal concentration

(LC50) values for mice, rats, guinea pigs, and rabbits indicate that the acute toxicity of

TBBPA is low. For the mouse and guinea pig, LC50 values were >500 mg/m3, while for the

rat, it was >10,920 mg/m3. Oral LD50 values for mice and rats were >2000 mg/kg, while an

LD50 >50,000 mg/kg was calculated for the rat via intubation. Dermal LD50 values >1000

mg/kg were reported for rabbits and guinea pigs. The intraperitoneal LD50 values were

≥3200 mg/kg for the mouse and rat (Toxicological Summary for Tetrabromobisphenol A [79-

94-7] 06/2002).

5.4. Legislation

Among the available BFRs, TBBPA is by far the most deeply investigated from a health

and environmental point of view as it has undergone an 8-year EU Risk Assessment for the

environment and human health (TBBPA EU Risk Assessment report for Health & the

Environment: http://ecb.jrc.it, accessed in January 2015). The conclusions of the EU Risk

Assessment were published in the EU Official Journal on 18 June 2008 and also confirmed

by the Scientific Committee on Health and Environmental Risks (SCHER). In May 2005, the

human health part of the Risk Assessment report concluded that at current exposure levels

TBBPA poses no risk to human health.

The EFSA report in December 2011 on the exposure of TBBPA and its derivatives in

food concluded that “current dietary exposure to TBBPA in the European Union does not

raise a health concern” (EFSA, 2011), in agreement to the conclusion of the SCHER

committee.

TBBPA is classified as a “Persistent Bioaccumulative Toxic” chemical, being included

in a chemical category which is subject to reporting under Emergency Planning and

Community Right-to-Know Act, Section 313, 1986 (Environmental Protection Agency

Toxics Release Inventory (TRI) Program. http://www2.epa.gov/toxics-release-inventory-tri-

program/persistentbioaccumulative-toxic-pbt-chemicals-covered-tri, accessed on March

2015).

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Nevertheless, TBBPA has been registered in REACH (Commission Regulation No.

1907/2006 concerning the Registration, Evaluation, Authorization and Restriction of

Chemicals). TBBPA as a substance is classified as H4105 (very toxic to aquatic species).

However, this classification no longer applies when it is reacted into the epoxy resin, as

TBBPA becomes one of the building blocks for a different substance (Directive 2002/95/EC

of the European Parliament and of the Council - 27 January 2003 – on the restriction of the

use of certains hazardous substances in electrical & electronic equipment).

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6. Brief review of analytical methodologies

6.1. Sample preparation

After collecting the samples, the determination of BPA and TBBPA in complex matrices,

like fresh or canned solid and liquid foodstuffs, requires extensive sample preparation

preceding instrumental analysis. Special treatments are necessary depending on the matrix

composition. As common in food residue analysis, solid samples are first fully homogenized

while liquid ones are filtered and/or centrifuged. The removal of lipids from the extract is

obligatory for samples of animal origin (e.g. fish, meat) since they can significantly reduce

the analytical performance of the chromatographic techniques.

Solvent extraction and solid-phase extraction (SPE) are the most widely used

techniques to isolate BPA from liquid and solid samples, respectively, mainly because of its

simplicity and wide-range applicability. Other techniques might include microwave-assisted

extraction (MAE), pressurized liquid extraction (PLE), matrix solid-phase dispersion

extraction (MSPD), etc. These procedures are not so typical but are known to improve the

extraction of BPA in terms of reduced sample size, automation and solvent consumption.

Often, different techniques are employed and methods become frequently matrix-

dependent (Ballesteros-Gómez et al., 2009).

In case of TBBPA, the Soxhlet procedure is usually executed for extraction of solid

material because its simplicity and high extraction efficiency (Morris et al., 2004). Other

techniques include PLE (Webster et al., 2009, Zhou et al., 2010) and liquid-liquid extraction

(LLE) and SPE are employed for liquids (milk, blood) (Cariou et al., 2005, Covaci et al.,

2009). Since this BFR has pKa values of 7.5 and 8.5, meaning the pH should be carefully

controlled in order not to have losses of TBBPA in the analytical procedure.

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6.2. Liquid-liquid extraction (LLE) and solid-phase extraction (SPE)

LLE, also known as solvent extraction and partitioning, is a method to separate

compounds based on their relative solubilities in two different immiscible liquids, usually

water and an organic solvent.

The LLE of BPA in food matrix typically uses water as one of the solvents and another

liquid that does not dissolve very well in water, such as diethyl ether (this is the most

common type of ether, and it is often called simply "ether"), ethyl acetate, chloroform or

dichloromethane (DCM) (Ballesteros-Gómez et al., 2009). Acetonitrile (MeCN) is usually

preferred as a solvent for solid foods samples. However, this chemical is miscible in water

not allowing good separation. This problem was overpassed with the development of

QuEChERS extraction technique, in which a strong salting-out effect allows the separation

of MeCN from water matrixes (a more detailed description is given in section 5.5). Although

overall recoveries of LLE are usually well above 75%, low recoveries (<50%) due to matrix–

analyte interactions were reported for a variety of foods (Thomson and Grounds, 2005).

The second most applied extraction technique for BPA is SPE. SPE is a sample

preparation process by which compounds dissolved or suspended in a liquid mixture

(mobile phase) are separated from other compounds in the mixture according to their

physical and chemical properties. The compounds with affinity for a sorbent through which

the sample is passed (stationary phase) are separated from the rest of the mixture.

For the retention of BPA in the column, non-selective or selective sorbents can be used.

If the goal is a reversed phase extraction, a stationary phase of silica with carbon chains is

commonly used. Octadecyl bonded endcapped silica (C18) or octyl bonded endcapped

silica (C8) are usually the first choice sorbents. For a normal phase SPE, a stationary phase

of C8 will retain organic analytes from polar solutions due to the attractive forces between

the carbon-hydrogen bonds in the analyte and the functional groups on the silica surface.

The absorbed compound can be further collected with a nonpolar solvent that disrupt the

forces that bind the compound to the packing. Quaternary amine bonded silica with Cl-

counterion (SAX) is typically used for strong anion exchange for BPA (Sigma-Aldrich, 1998).

The commercial sorbent divinylbenzene/N-vinylpyrrolidone copolymer (OASIS HLB from

Waters, 30–200 mg) has been the most used to date for BPA analysis. The hydrophilic N-

vinylpyrrolidone polymer acts as a hydrogen acceptor, while the hydrophobic divinyl

benzene polymer provides reversed-phase retention for BPA. It offers advantages over

classical silica based sorbents, i.e. high specific area (800 m2/g), possibility to dry out during

the extraction procedure without reducing its ability to retain BPA and like other polymeric

resins, stability over the entire pH range (Camel, 2003). Further clean-up with Florisil

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cartridge is sometimes also required, namely in the treatment of fish, fruit and vegetable

samples (Ballesteros-Gomez et al., 2009). In particular for BPA, the addition of water

reduces the viscosity of the sample, thus resulting in a better flow rate during SPE

(Ballesteros-Gomez et al., 2009).

Comparatively to LLE, SPE has less organic solvents consumption and requires less

quantity of sample; however, this method is costly because a new cartridge is required for

each sample to be analysed (Nollet L., 2010).

The introduction of MIPs (Molecular Imprinted Polymers) as selective sorbents into

SPE, a technique commonly referred to as MISPE, is emerging as a very popular tool.

These synthetic polymers have molecular recognition ability for a target analyte. Currently

a number of approaches have been used to prepare BPA imprinted polymers, which have

been applied to the determination and removal of BPA and other phenolic estrogen

pollutants in environmental waters (Ren et al., 2014). Architectures to develop BPA-MIPs,

such as hybrid molecularly imprinted membranes have been described in the literature

(Takeda and Kobayashi, 2006).

6.3. Solid Phase Microextraction (SPME)

SPME is a sample preparation technique that involves the use of a fibre coated with an

extracting phase which extracts different kinds of analytes, normally volatile or semi-volatile,

from liquid or gas phase media (Pawliszyn, 2012). Because no solvent is injected and the

analytes are rapidly desorbed onto the column, low detection limits are allowed while

resolution is maintained. For BPA extraction, a Carbowax fibre, with high polarity is normally

used.

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SPME followed by Gas Chromatography-Mass Spectrometry (GC–MS) has been

applied to the determination of BPA in aqueous food simulants (Salafranca et al., 1999) and

water from plastic containers and tableware (Lee et al., 2011). In the first study, detection

limits ranged from 0.1 to 2.0 ng/g for BPA, with a linear range from the low ng/g to several

µg/g range.

6.4. Matrix Solid Phase Dispersion (MSPD)

Barker et al. first reported MSPD in 1989 which can be applied for the extraction of

solid, semi-solid or viscous food and biological matrices (Barker et al., 1989). In this

technique, the sample is mixed with a sorbent such as C8 or C18 bonded silica, followed

by packing the dispersant sorbent material into an empty SPE cartridge before elution.

MSPD is simple and versatile and offers the possibility of performing extraction and

clean-up in one step. MSPD has several advantages over classical sample treatment

procedures. This method is simpler and less time consuming, with no emulsion formation

and low solvent consumption. The negative point is that the operation is tough and is not

possible to automatize.

In 2007, Shao et al. applied a method based on MSPD using C18 as dispersant and

liquid chromatography electrospray ionization tandem mass spectrometry (LC-ESI-MS/MS)

for the simultaneous determination of nonylphenol, octylphenol and BPA in eggs and milk.

Recoveries of BPA were 79% and relative standard deviations were equal or lower than

15% for egg samples. In milk, recoveries ranged from 84 to 86% for BPA and relative

standard deviations were equal to or lower than 8% (Shao et al., 2007).

Figure 12 - SPME device consists of a fused-silica fibre coated with an appropriate stationary phase attached to a modified microsyringe. Adapted from: http://www.schambeck-sfd.com/en/hplc-gpc-products/gc-autosampler.php

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6.5. QuEChERS (Quick, Easy, Cheap, Effective, Rugged, and Safe)

QuEChERS is a recently developed extraction technique for food analysis, involving

two steps. It is initialized with an extraction of the compounds of interest from the aqueous

matrixes with MeCN, in the presence of considerable amounts of MgSO4 and NaCl salts.

When the salt concentration is increased, some of the water molecules are attracted by the

salt ions, which decreases the number of water molecules available to interact with the

analyte. The procedure is followed by a dispersive SPE cleanup of an aliquot of the obtained

extract. Non-polar solvents, such as n-hexane, n-heptane and trimethylpentane, have been

used together with MeCN for the extraction of BPA from fatty samples (Fernández et al.,

2007, Grumetto et al., 2008) because these solvents extract the lipidic material efficiently

and therefore also extract BPA, taking into account its lipophilicity.

In addition to allowing the achievement of extracts with lower levels of interferents

compared to a conventional extraction process, QuEChERS seems to have some

advantages over processes that use packed stationary phases, and also reduces the use

of organic solvents (Cunha, 2007). The method is simple, effective and saves solvent, being

both flexible and selective at the same time. Its weakness lies in the low enrichment factor,

which can be solved combining QuEChERS with the dispersive liquid-liquid microextraction

(DLLME).

6.6. Dispersive Liquid-Liquid Microextraction (DLLME)

DLLME is a novel sample extraction procedure proposed by Assadi and co-workers in

2006, able to provide great enrichment factors and good yields in a simple and fast way

(Razaee et al., 2006).

A high density extractant solvent together with a dispersive solvent with high miscibility

in the extractant and water are rapidly added to an aqueous sample. This will result in a

cloudy solution of extractant solvent dispersed through the aqueous phase. Hydrophobic

solutes are rapidly and efficiently enriched in the extractant solvent and, after centrifugation,

they can be determined in the phase settled at the bottom of the tube (Cunha et al., 2010).

The selection of an appropriate solvent extractor is the most important parameter in

DLLME. The extracting solvent should be selected from those who have higher density than

water, extraction capability of the compounds of interest and good chromatographic

behavior. Usually for BPA, the most used solvents extractors are chlorinated solvents,

among them stand out chlorobenzene, carbon tetrachloride and tetracloroethylene (Razaee

et al., 2006). To choose the dispersing solvent, the main feature to be considered is their

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miscibility in the organic phase (extracting solvent) and in the aqueous one. The need for

these characteristics generally limited to the use of MeOH, MeCN, acetone and

tetrahydrofuran (THF).

A new simple and reliable method combining an MeCN partitioning extractive

procedure followed by dispersive solid-phase cleanup (QuEChERS) with DLLME and

further GC-MS analysis was developed by Cunha et al. (2012) for the simultaneous

determination of BPA and BPB in canned seafood samples. The DLLME procedure involved

the use of tetrachloroethylene as extractive solvent while the own MeCN extract obtained

from QuEChERS was used as dispersive solvent, and anhydride acetic (AA) as derivatizing

reagent. Besides the enrichment factor provided, the final DLLME extractive step allowed

the simultaneous acetylation of the compounds required for their GC analysis. This process

showed over 68% recovery, reproducibility with a relative standard deviation under 21%

and high sensitivity for the target analytes (MDLs of 0.2 μg/kg for BPA and 0.4 μg/kg for

BPB) (Cunha et al., 2012). Another work from the same researchers addressed to the

determination of BPA in canned beverages showed limits of detection (LOD) of 5.0 ng/l and

limits of quantification (LOQ) of 10.0 ng/l (Cunha et al., 2010).

6.7. Soxhlet extraction

TBBPA with a Log Pow (octanol-water partition coefficient) of 4.5-5.3, is apolar and

hardly dissolves in aqueous solutions. This extraction technique is based in the greater

solubility of a given compound in nonpolar solvents than in water. Often it uses a mixture of

two apolar extration solvents to improve the yield instead of just one solvent. Although DCM

has been used as extraction solvent, soxhlet extractions normally involve the use of an

hexane:acetone mixture varying form 1:1 to 3:1. Morris et al. in 2004 performed liquid solid

extractions by Soxhlet or homogenization by Ultra Turrax using binary solvent mixtures (1:1

or 1:3 (v/v) acetone: n-hexane mixture) on sediments and biota. TBBPA extract was

reduced to just dryness, reconstituted in MeOH, and stored at -20 °C prior to LC-MS

analysis (Morris et al., 2004). Later in 2007, Granby and Cederberg also used this method

to extract TBBPA from fish samples, proceeding to a Soxhlet extraction with a mixture of

acetone:n-hexane (1:1, v/v) for seven hours. The extract was evaporated until a clear

residue of lipid remains, which was dissolved in hexane and cleaned up with sulphuric acid.

The cleaned hexane phase was evaporated using a gentle stream of nitrogen. The

sample was then dissolved in 200 μl MeOH:water (4:1) and analysed in LC-MS/MS

with over 79% recovery achieved (Granby and Cederberg, 2007).

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Despite TBBPA could be fully extracted from the matrix, Soxhlet extraction is time and

solvent consuming, making it undesirable for routine analysis (ten Dam et al., 2012).

Due to their advantages, such as minimum sample pre-treatment required, simplicity,

and high recoveries (>80%) (Morris et al., 2004), binary solvent mixtures typically containing

acetone:n-hexane (Boer et al., 2002) or DCM:n-hexane (Berger et al., 2004) have been

preferred for Soxhlet-based extractions.

6.8. Pressurized Liquid Extraction (PLE)

PLE is similar to Soxhlet extraction, but in this technique the elevated temperature

applied allows the sample to become more soluble and achieve a higher diffusion rate while

the elevated pressure keeps the solvent below its boiling point.

Iso-hexane was the extraction solvent selected by Webster et al. (2009) for TBBPA

determination in fish. After mixed with sodium sulfate and spiked with appropriate labelled

internal standard (I.S.) (TBBPA13C12), samples were refrigerated overnight before being

ground to a fine powder using a mortar and pestle. Samples were extracted by PLE using

an ASE 300 (Dionex Ltd., Camberley, Surrey, UK) under elevated temperatures and

pressures. Fish tissue samples were extracted using an oven temperature of 60 °C and a

pressure of 1500 psi. Five minutes heating was followed by two static cycles of five minutes

each. The cell flush was 50% total cell volume (i.e. 25% of the cell volume for each flush ¼

25 ml per flush) with a 120 second purge (using nitrogen) at the end of each sample

extraction. After extraction, TBBPA was analysed by LC-MS with over 75% recovery

(Webster et al., 2009). In the study of Kolic et al. in 2009, a mixture of hexane and DCM

solvents were used for extraction on the Fluid Management Systems (FMS) (Waltham, MA)

automated PLE system. An acid silica column was initially employed for clean-up to remove

bulk chemical interferences. Final extracts were brought to dryness via nitrogen

evaporation. The individual residue was re-dissolved using IPA/toluene (9:1, v/v) containing

hexabromobenzene (HBB13C6) as the instrumental internal standard (I.S.) prior to LC-APPI-

MS/MS analysis (Kolic et al., 2009). The same technique was applied in 2010 by Zhou and

its colleagues (Zhou et al., 2010).

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6.9. Clean-up

Because of the limited selectivity of solvent-based extractions there is a need for

extensive clean-up prior to instrumental analysis. The extracts containing BPA are

commonly subject to extensive clean-up and in this respect SPE is preferred. In SPE, the

non-selective sorbent OASIS HLB has been used also as a clean-up step for a variety of

foods (fish, fruit and vegetables, and canned foods) after solvent extraction, removing

hydrophilic and lipophilic interferences (Covaci et al., 2009). Further clean-up with Florisil -

a highly selective adsorbent comprised of extremely white, hard-powdered synthetic

magnesium-silica gel, with an extensive utility in preparative and analytical chromatography

- cartridge is sometimes also required, namely in the treatment of fish, fruit and vegetable

samples (Ballesteros-Gómez et al., 2009).

In order to isolate TBBPA from the co-extracted interfering compounds such as lipids

and other matrix constituents, a following step of clean-up can be executed. Several

methods, or combinations thereof, have been employed including gel permeation

chromatography (GPC) (Morris et al., 2004; Webster et al., 2009), neutral or acidified silica

(Harrad et al., 2009), Florisil (Klif, 2010) or sulphuric acid treatment (Fernandes et al., 2008).

GPC is based on the partition of the molecules by size allowing the separation of the

desired analyte from the interfering ones. In the case of TBBPA, a GPC system with two

crosslinked divinylbenzene gel columns in series has been already used aiming for lipid

remotion (Morris et al., 2004). Large compounds elute earlier since they cannot enter the

pores of the packing material. Clean-up by GPC might not result in complete separation of

the lipid content and the compounds of interest and additional clean up procedures might

be required (Frederiksen et al., 2007). When Frederiksen et al. discover that GPC is not

sufficient to remove efficiently lipids from biotic samples, they used sulphuric acid; other

research groups also used additional treatments like silica and florisil solid SPE after GPC

(Budakowski and Tomy, 2003, Stapleton et al., 2006). The treatment with sulphuric acid is

the most applied treatment, since it thoroughly removes the lipid content from extracts

(Morris et al., 2004; Morris et al., 2006; Bethune et al., 2005).

A less exhaustive method and more easily automated is the acid silica digestion,

although it is a less common technique (Zhou et al., 2010, Janak et al., 2005).

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Another subsequent step in the extraction procedure is fractionation, which allows the

separation of TBBPA from other pollutants (such as polybrominated diphenyl ethers

(PBDEs) and hexabromocyclododecane (HBCDDs) and others), functioning also as a

clean-up step. This is typically done by silica column fractionation (Covaci et al., 2009;

Morris et al., 2004), although another methods have been used. Deactivated silica gel has

been applied for the separation of TBBPA from PBDEs. Iso-octane was used for the elution

of PBDEs, while a more polar solvent elute TBBPA (Morris et al., 2004).

Florisil has also been successfully used to isolate phenolic analytes like TBBPA from

neutral organohalogen compounds. In this case, neutral compounds were first eluted with

mixtures of DCM:n-hexane (1:3, v/v), while polar mixtures of acetone:n-hexane (15:85, v/v)

and MeOH:DCM (12:88, v/v) elute TBBPA (Berger et al., 2004).

Another method can resort to the commercial sorbent Oasis HLB®, which allows the

fast separation of TBBPA from HBCD diasteroisomers. The mixture of DCM:n-hexane (1:1,

v/v) was used to elute HBCDs from the SPE cartridge, while TBBPA was afterward eluted

with DCM (Cariou et al., 2005).

6.10. Analytical techniques

6.10.1. Liquid Chromatography (LC)

As BPA can be analysed by LC directly without the derivatization step in sample

preparation, LC is the technique used most often for the determination of BPA in both food

and biological samples. LC of BPA is usually carried out in reversed-phase C18 columns.

Mobile phases vary according to the detector coupled to LC. Elution conditions highly

depend on the analytes to be determined along with BPA and the food matrices under study.

It is frequent to determine BPA with other phenols, EDs and migrants from food packaging

and in this case gradient elution is always performed; 15 and 40 min are the range of run

times, depending on the number of contaminants to be determined and the matrix

composition. This separation technique is usually performed at room temperature.

Several detectors can be coupled to LC, like the UV detector or the electrochemical

detector. However, the fluorescence detection is frequently the preferential non-MS-based

method used for LC determination of BPA in both food and biological samples. The

fluorophore in the BPA molecule is fairly strong, showing native fluorescence with excitation

and emission wavelengths at 275 and 305 nm, respectively, which remain constant in the

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solvents more frequently used in LC mobile phases, namely water, MeCN and MeOH

(Ballesteros-Gómez, 2009). There is a possibility of interference from other fluorescent food

migrants from can coatings, e.g. bisphenol A diglycidyl ether (BADGE), bisphenol F

diglycidyl ether (BFDGE) or novolacs glycidyl ethers (NOGE), which may produce false-

positives since they are very similar. Indeed, confirmation by MS is essential (Inoue et al.,

2003, Schoringhumer and Cichna-Markl, 2007).

6.10.2. Liquid Chromatography coupled to Mass Spectrometry

(LC-MS) and tandem Mass Spectrometry (LC-MS/MS)

LC coupled to mass spectrometer (LC-MS) is the second most frequently used LC

method after LC-fluorescence for the determination of BPA in both food and biological

samples, providing much more confidence in peak identification based on the mass

spectrum. This method can reduce sample treatment and enable the “extraction” of an

analyte at the detection stage of a method by selection of specific ions or transitions.

After sample injection, the analysis of BPA is carried out using atmospheric pressure

ionization interfaces, namely electrospray ionization (ESI) or atmospheric pressure

chemical ionization (APCI). In a simple explanation, ESI is a technique used in MS to

produce ions using an electrospray in which a high voltage is applied to a liquid to create

an aerosol. ESI may produce multiply charged ions, effectively extending the mass range

of the analyser to accommodate the kDa - MDa orders of magnitude but in a 'soft ionization'

technique, since there is very little fragmentation. This can be advantageous in the sense

that the molecular ion (or more accurately a pseudo molecular ion) is always observed,

however very little structural information can be gained from the simple mass spectrum

obtained. This disadvantage can be overcome by coupling ESI with tandem mass

spectrometry (ESI-MS/MS) (Ho et al., 2003). APCI is characterized for an electrode

discharge on a solvent spray that produces primary ions. It is mainly used with polar and

relatively nonpolar compounds with a molecular weight of less than 1500 Da, generally

giving monocharged ions (Bruins, 1991).

ESI is more frequently used for BPA than APCI (Dorival-García et al., 2012) because

it generally provides better sensitivity (Ballesteros-Gómez, 2009) despite APCI being

generally less susceptible to matrix effects (Iparraguirre et al., 2014). Normally these two

ion sources are used in the negative mode (ESI(-) and API(-)), applied to acidic compounds

[M-H]-, [M-nH]n- and [M+I-]- like BPA. Instrumental quantitation limits for BPA of 5 and 20.7

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ng/ml have been reported using ESI(-) and APCI(-), respectively (Mendiola et al., 2007) and

instrumental detection limits for BPA of 1 and 15 ng/ml in the same conditions (Iparraguirre

et al., 2014).

After ionization, the product ions formed follow to the mass analyser. In studies for

determination of BPA is ordinarily used the quadrupole mass analyzer (QMS), consisting of

four cylindrical rods, set parallel to each other (Hoffmann and Stroobant, 2003). In a

quadrupole mass spectrometer the quadrupole is the component of the instrument

responsible for filtering sample ions, based on their mass-to-charge ratio (m/z). Ions are

separated in a quadrupole based on the stability of their trajectories in the oscillating electric

fields that are applied to the rods (Hoffmann and Stroobant, 2003). When we have a linear

series of three quadrupoles, it is known as a triple quadrupole mass spectrometer. The first

(Q1) and third (Q3) quadrupoles act as mass filters, and the middle (q2) quadrupole is

employed as a collision cell. This collision cell is an RF-only quadrupole (non-mass filtering)

using Ar, He, or N2 gas (~10−3 Torr, ~30 eV) for collision induced dissociation of selected

parent ion(s) from Q1. Subsequent fragments are passed through to Q3 where they may be

filtered or fully scanned. This process allows for the study of fragments that are useful in

structural elucidation by MS/MS (Glish et al., 1982).

To overcome sample preparation losses and matrix effects, MS methods for BPA

include the addition of an I.S, normally an isotopic analogue of BPA with a specific mass

spectrum, being possible its identification. The most used I.S. have been 4-nonylphenol

(when alkylphenols were also determined), deuterated BPAd16 and isotope labelled

13C12BPA. Independently of the type of analyzer and ionization source, the most abundant

ion in the BPA mass spectrum, and therefore used for quantitation purposes, is [M-H]− m/z

227. In LC-MS/MS, [M-H-CH3]•− m/z 212 was the most prominent product ion obtained being

used for confirmation and/or quantitation of BPA. Other fragments were reported, like the

ion [M−H−C6H5OH]− m/z 133, resulting from the cleavage of the hydroxybenzyl group, and

the ion [M−H−C9H10O]− m/z 93, formed by the loss of hydroxyphenyl propyl.

TBBPA is also analysed mostly by LC-MS, since it needs no derivatization (Morris et

al., 2004; Harrad et al., 2009; Covaci et al., 2009) whereas this step is necessary for its

determination by GC. This is an advantage since derivatization has been reported to

produce errors or analyte losses (Boer, 2006). Zhou et al. (2010) presented an LC method

for the analysis of TBBPA together with several other BFRs. For TBBPA, both LC and Ultra

Performance LC (UPLC) have been applied, using reversed phase columns (mostly C18)

for the analysis of TBBPA (EFSA, 2011). Chu et al. found that the efficiency of the LC-MS

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for TBBPA is dependent on the mobile phase used. They observe a 30% increase in

response when replacing MeCN with MeOH in the mobile phase, which resulted in a lower

LOQ (0.05 ng/g). The addition of 1mM ammonium acetate to the mobile phase, which may

be enhance the ionization, also increase the LC-MS response (Chu et al., 2005). According

to Tollback et al., for TBBPA ionization ESI gave 30-40 times lower LODs compared to

APCI, a feature also observed in the analysis of BPA. In addition, it permits monitoring of

the intact TBBPA molecule through the soft ionization of ESI resulting in improved method

selectivity and accuracy (Tollback et al., 2006). This finding agrees with results of Morris et

al. (Morris et al., 2004).

Another advantage of the LC-MS/MS determination of TBBPA is that it enables the use

of the 13C-labelled TBBPA as an I.S., which compensate any matrix-related effects or losses

during extraction and clean-up that can affect analyte ion intensity.

The molecular ion [M−H]− m/z 543 has an isotopic distribution in accordance with the

presence of the four bromine atoms on the ion. Two daughter ions at m/z 528 and m/z 448

correspond to the loss of one methyl group [M−CH3]−, and the subsequent loss of one

bromine [M−CH2−Br]− (Figure 13).

Figure 13 – ESI fussl scan mass spectrum of tetrabromobisphenol acquired in negative ion mode. Adapted from:

Saint-Louis, R. and Pelletier, E. (2004) “LC-ESI-MS-MS method for the analysis of tetrabromobisphenol A in

sediment and sewage sludge” Analyst 129, 724-730

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6.10.3. Gas Chromatography coupled to Mass Spectrometry

(GC-MS)

GC-MS is frequently applied to quantify BPA in environmental samples. Determination

of BPA by GC-MS requires derivatization since this chemical has insufficient volatility for

direct analysis by GC and shows poor chromatographic properties. Therefore, time

consuming sample preparation protocols using different extraction and preconcentration

procedures are required (Dekant and Völkel, 2008). Despite the disadvantage of

derivatization, GC-MS presents better separation than LC-MS, which is an advantage that

can not fail to be considered.

The most common derivatization processes to BPA are cyanometilation where samples

are dissolved in acetone, bromoacetonitrile (BAN) and K2CO

3 and the solution is heated at

60°C for 60 min (Shin et al., 2001); trimethylsilylation using N-O-

bis(trimethylsilyl)trifluoroacetamide (BSTFA) containing 1% of trimethylchlorosilane (TMCS)

(Cobellis et al., 2009) and heating of the samples mixed at 80ºC for 30 min; or acetylation

with AA or trifluoroacetic anhydride, not involving temperature or time. It was proved that

this derivative of BPA was more sensitive than the corresponding trimethylsilyl derivative,

which was a consequence of the higher molecular mass of the former (Ballesteros-Gómez

et al., 2009). The base peak in the EI spectrum correspond to the fragment ion [M−15]+ (m/z

405) formed from the ion molecular (m/z 420) by the loss of a methyl group (Figure 15).

Figure 14 – EI mass spectra of BPA. Adapted from: Szyrwińska, K; Kołodziejczak, A; Rykowska, I; Wasiak, W; Lulek, J. (2007) “Derivatization and gas chromatography–low-resolution mass spectrometry of bisphenol A” Acta

Chromatographica 18, 49-58

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The study of Cunha et al. (2012) determined BPA concentrations in canned seafood

using GC-MS for the quantification and confirmation of this compound. The LOD was 0.02

ng/g. BPA was detected in 85% of the analysed samples at concentration ranging between

1 and 99 ng/g. In this study, AA was added to derivatize BPA in the samples (Cunha et al.,

2012).

The column dimensions for BPA in GC-MS are typically 30 m length, 0.25-0.32 mm

diameter and 0.25-0.5 μm film thickness (Li and Park, 2001; Mead and Seaton, 2011;

Markham et al., 2011; Cunha et al., 2012).

A GC-MS method for TBBPA detection requiring derivatization with

methylchloroformate (MCF) was developed by Berger et al. in 2004. After evaporation of

the subsamples to dryness under a gentle stream of nitrogen, a 150 µL aliquot of the

derivatization solvent MeCN/MeOH/water/pyridine (5:2:2:1; v/v/v/v) was added to the

residues, and the mixture was placed into an ultrasonic bath for 10 min. The resulting

suspension was filtered and a 10 µL aliquot of MCF was added, and the reaction mixture

was allowed to stand for 5 min before it was diluted with 300 µL of water. However, this

method suffered from a rather restricted linear range and low recoveries due to incomplete

derivatization. Another derivatization method was employed with the use of diazomethane

to obtain the TBBPA dimethyl ether derivative (Jakobsson et al., 2002). Although the

chromatography of TBBPA on a GC column can be improved by derivatization of the

hydroxyl groups (Covaci et al., 2009), GC analysis can also be performed without it (Korytár

et al., 2005).

The column dimensions are typically 15-30 m length, 0.25 mm diameter and 0.1-0.25

μm film thickness (Gauthier et al., 2009; Shi et al., 2009; Cariou et al., 2005; Korytár et al.,

2005) and with an apolar or slightly polar stationary phase. In GC-MS, electron chemical

negative ionization (ECNI) can be used for ionization of TBBPA, monitoring the bromine

Figure 15 – Electron impact mass spectra of BPA O-bis(trifluoroacetyl) derivative. Adapted from: Ballesteros-Gómez, A; Rubio, S; Perez-Bendito, D. (2009) “Analytical methods for the determination of bisphenol A in food”

Journal of Chromatography A, 1216, 449-69

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isotopes m/z 79 and 81. Comparing to EI ionization, this method is more sensitive, although

less selective (Covaci et al., 2009).

6.10.4. Immunochemical Techniques

Other analytical method is the application of immunochemical techniques to the

determination of BPA in food. As a small molecule, BPA is not able to initiate an immune

response itself and needs to be conjugated with a protein to form a complete antigen.

Recently, Enzyme-Linked Immunosorbent Assay (ELISA) methods based on monoclonal

(Goda et al., 2000; Nishi et al., 2003) and polyclonal (Kim et al., 2007) mammalian

antibodies and chicken immunoglobulins (De Meulenaer et al., 2002) were developed for

the determination of BPA. The LOD ranged from 0.1 to 200 ng/mL, depending on the

immunogen and the type of antibody.

More recently, Moreno et al. (2011) produce monoclonal antibodies to BPA,

conjugating four synthetic compounds (BPA derivatives) to the protein bovine serum

albumin (BSA) to avoid the loss of part of the structural characteristics of BPA and used as

immunizing haptens in mice. The LOD of the most sensitive ELISA was 0.05 ng/mL. With

regard to recovery, the analytical data obtained were also acceptable. The authors proved

the potential of this immunoassay as a new tool for the rapid, sensitive and accurate

determination of BPA in canned food (Moreno et al., 2011).

Figure 16 - Chemical structures of the haptens of BPA used to develop the immunoassay. BPAA: 2-[4-(1-(4-hydroxyphenyl)-1-methylethyl) phenoxy])acetic acid; BPAB: 4-[4-(1-(4-hydroxyphenyl)-1-methylethyl) phenoxy]butyric acid;

BPAH: 6-[4-(1-(4-hydroxyphenyl)-1-methylethyl) phenoxy]hexanoic acid; BPVA: 4,4-Bis(4-hydroxyphenyl)-valeric acid. Adapted from: Moreno, M., D’Arienzo, P., Manclús, J. and Montoya, A. (2011) “Development of monoclonal antibody-based immunoassays for the analysis of bisphenol A in canned vegetables.” Journal of Environmental Science and Health 46, 509-

517

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Cross-reactivity is one of the possible problems with the ELISA method, which cannot

distinguish between free BPA and conjugated BPA, as both can generate responses with

the kit. The results obtained must be compared with those obtained with well-established

methods at different levels for accuracy. It is thus logical to predict that ELISA methods are

unlikely to be applied widely for the determination of BPA in food and biological samples,

even for qualitative screening purposes. ELISA can be a good fast screening method for

BPA, but, again, only for samples with a simple matrix such as water (Kuruto-Niwa et al.,

2007).

Up to now, the determinations have been focused on the analysis of liquid foods, mainly

milk, water and food stimulants. LODs ranged from 0.05 ng/ml to 500 ng/ml (Ballesteros-

Gómez et al., 2009).

TBBPA immunoassays have been developed and improved in the last years. The first

ELISA method for TBBPA detection was developed by Xu et al. in 2012. In this study, they

aim to create a new methodology for TBBPA detection in soil and sediments of an e-waste

recycling area, comparing the results obtained with those obtained with LC-MS/MS. Cross-

reactivity values of the ELISA with a set of important BFRs analogues to TBBPA were

negligible (<0.05%). An antiserum was produced using the immunogen of which the hapten

has a propanoic acid linker via an hydroxyl at the terminal position of TBBPA. A

heterologous coating hapten having an acetic acid spacer attached to the same position

resulted in the highest assay sensitivity. When compared, the average concentrations of

TBBPA obtained by ELISA were slightly higher than those by LC–MS/MS, but not

statistically significant according to a paired t-test (p > 0.05). The authors consider that this

divergence may be due to the matrix effects or cross-reactivity of unknown compounds in

the extracts by ELISA method (Xu et al., 2012).

In 2014, Bu et al. created a modified indirect competitive ELISA for TBBPA using a

biotin–streptavidin amplification system. This system improve sensitivity because of the

potential for amplification due to multiple site binding (Figure 17). Specific antibodies were

produced and the proposed biotin–streptavidin-amplified ELISA (BA-ELISA) was sensitive

and effective for the rapid detection of TBBPA in electronic waste samples. This proposed

method also had negligible cross-reactions with structural TBBPA analogues (Bu et al.,

2014).

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In another recent study (Wang et al., 2015), a highly selective anti-TBBPA VHH T3-15

fused with alkaline phosphatase (AP) from E. coli showing both an integrated TBBPA-

binding capacity and enzymatic activity was expressed (Figure 18). VHH is a variable

domain of the heavy chain antibody naturally occurring in camelids and it approaches the

lower size limit of functional antigen-binding entities. Wang et al. (2015) developed a one-

step immunoassay for TBBPA based on the fusion protein T3-15-AP. Compared to the

parental VHH T3-15, T3-15-AP was able to bind to a wider variety of coating antigens and

the assay sensitivity was slightly improved. Cross-reactivity with a set of brominated

analogues was negligible (<0.1%). The recoveries of TBBPA from urine samples via this

immunoassay ranged from 96.7% to 109.9% and correlated well with a LC-MS/MS method.

Figure 17 - Biotin-streptavidin amplification system. Adapted from: https://www.vectorlabs.com/catalog.aspx?catID=28

Figure 18 - VHH-AP coating of TBBPA and immunoassay. Adapted from: Wang, J., Majkova, Z., Bever, C., Yang, J., Gee, S., Li, J., Xu, T. and Hammock, B. (2015) “One-Step Immunoassay for Tetrabromobisphenol A Using a Camelid Single Domain Antibody−Alkaline Phosphatase Fusion Protein.” Analytical Chemistry 87, 4741-4748

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7. BPA and TBBPA occurrence in seafood

The combination of population growth, rising incomes and increasing urbanization as

well as economic development and advances in the availability and quality of food normally

accompanied improvements in the supply chain of food that is, in production, processing

and marketing. To protect the contents from the environment, avoiding the goods’ damage

during transportation, for example, the first plastic packages appear at the end of World

War II. Nowadays, packages are developed to promote food security from climatic

conditions, such as temperature, humidity, precipitation and solar radiation.

However, there is a potential contamination risk when the product is in direct contact

with the packaging, providing the conditions for migration of undesirable compounds. As

already discussed above, both the plastics PC with BPA involving fish as TBBPA, a possible

constituent of the epoxy resins that coat the inside of cans, can migrate into food contained

therein. It is thus important to access the levels found in this seafood in order to evaluate if

this event is contaminating the commercial food available for human consumption and as a

consequence putting into risk human health.

7.1. BPA

As outlined above, BPA, as a main component of some polymeric plastics and as epoxy

resin used as protective coating is one of the pollutants that could leach from the canned

containers into food and beverages, when in conditions prone to such.

Table 2 shows data from several studies from 2010, 2011 and 2012 where the BPA

levels in some canned seafood as well as seafood captures from estuaries and seas where

measured. BPA was found in more than 56 % of the samples (total 228) with levels ranging

from non-detected to 169.3 ng/g.

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Table 2 – BPA levels (ng/g) found in canned seafood from different studies since 2010. *average; nd: non-detected

Year Sample Country Sample preparation Method Sampling,

positive samples

BPA (ng/g)

range; average

2010

Tuna US (Shecter et al.,

2010)

Extraction with MeCN in an ultrasonic bath

LLE (hexane)

Purification on ENVI- Carb column (hexane)

Derivatization with BSTFA

Purification on silica column

GC-MS

n=3, 3 BPA+ 1.66-4.16; 2.91

Tuna in oil Belgium (Geens et

al., 2010)

Extraction with MeCN by mixing and sonication

Wash of lipophilic impurities with hexane

Derivatization with pentafluorobenzoylchloride (PFBCl)

Purification on acidified silica

n=3, 3 BPA+

169.3*

Tuna in water 126.4*

Salmon

Canada (Cao et al., 2010)

Extraction with MeCN

Dilution with ph 7.0 phosphate buffer solution

Purification through the C18 SPE cartridge (50% MeCN/water elution)

Derivatization with AA in a K2CO3 solution

Extraction with isooctane followed by methyl t-butyl ether (MTBE)

n=154, 55 BPA+

3.4*

Fish 106*

2011

Tuna

US (Noonan et al., 2011)

Extraction with MeCN

Dilution 1:2 with water

HPLC-MS/MS

n=4, 4 BPA+ 5.8-17; 11.4

Tuna in oil n=2, 2 BPA+ 4.5*

Mackerel n=3, 3 BPA+ 22*

Tuna Iran (Rastkari et

al., 2011)

Addition of an MeCN:H2O (90:10, v/v) solution

Addition of KHCO3, AA and NaCl

Extraction with SPME fused-silica fiber and exposure for 40min

In situ derivatization and extraction to the fiber

GC-MS n=3, 3 BPA+ 4.5-17; 10.75

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2012

Tuna

Addition of n-heptane and deionized water

Addition of MeCN, anhydrous MgSO4 and NaCl

Purification of MeCN extract with MgSO4, C18 and GCB

DLLME procedure:

Addition of 5 % k2co3 solution until ph≥10 to MeCN extract

Addition of the extractive solvent tetracloroethylene

Derivatization with aa

GC-MS

n=12, 12 BPA+ 32.5*

Tuna in vegetable oil n=13, 13 BPA+ 21.2*

Tuna in olive oil n=7, 7 BPA+ 5.2*

Tuna in tomato sauce n=3, 3 BPA+ 27.6*

Anchovy fillets in vegetable oil

n=1, 1 BPA+ nd

Codfish in vegetable oil and garlic

n=1, 1 BPA+ nd

Eels in escabeche sauce n=1, 1 BPA+ nd

Mackerel fillets in vegetable oil

n=1, 1 BPA+ 9.9

Mackerel fillets in tomato n=1, 1 BPA+ 40.4

Mackerel fillets in vegetable oil

Portugal (Cunha et al., 2012)

n=1, 1 BPA+ 33.5

Mussels in pickled sauce n=1, 1 BPA+ 1.4

Mussels in escabeche sauce

n=1, 1 BPA+ 49.2

Octopus in garlic n=2, 2 BPA+ 30.3*

Octopus stew n=1, 1 BPA+ 39.9

Sardines in vegetable oil n=5, 5 BPA+ 3.7*

Sardines in spicy vegetable oil

n=1, 1 BPA+ 2.5

Sardines in tomato sauce n=3, 3 BPA+ 5.9*

Squid suffed n=1, 1 BPA+ 33.2

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When assessing commercial seafood samples contamination with BPA, the

results are speckled. In the US, the values found for BPA are very low either in the study

of Sherter et al. (2010) or in the study of Noonan et al. (2011), ranging from the minimum

of 1.66 ng/g in a tuna sample in the first study to the maximum of 22 ng/g found in a

commercial mackerel sample from US by the second research group. Noonan et al.

found similar similar BPA levels in the tuna and the albacore samples with an average

of 11.4 and 11.5 ng/g respectively and a minimum concentration in tuna in oil (4.5 ng

BPA per gram of canned tuna in oil). Both studies results report very low levels of BPA

in canned food found in US markets. There is no migratory limits in the USA at present.

Similar levels were detected by Rastkari et al (2011) in three samples of tuna from

Iran ranging from 4.5 to 17 ng/g of BPA. At the moment, there is no specific legislation in

Iran about migratory limits of BPA. However, the scientists regulate their evaluation by

the European legislation. Since levels measured were below the EU migratory limits for

BPA in food (600 ng/g), there is no restriction to the use of these foods which are

considered safety. Contrarily, two tuna samples from Belgium (Geens et al., 2010)

presented levels about ten-fold higher than the above cited, of 169.3 and 126.4 ng/g in

tuna in oil and in water respectively, still below the EU migratory limits.

Cao et al. (2010) also found a similar level - 106 ng/g - in a fish sample from Canada

markets. Health Canada conducted several risk assessments on BPA, and again in 2012

reconfirmed that consumer exposure to BPA is "very low" and that BPA is "not expected

to pose a health risk to the general population." Nevertheless, the use of BPA in baby

bottles is restricted in Canada since March 2010.

The study of Cunha et al. (2012) in Portugal allowed the determination of BPA levels

in many types of canned fish and other sea products (octopus and clams) preserved with

different sauces. Detected levels were generally low being the highest values found 49.2

ng/g in mussels, 39.9 ng/g in mackerel, 32.6 ng/g in tuna, and 33.2 ng/g in a squid

sample. This study showed that the different sauces in which the fish may be involved in

packaging did not significantly interfere with the migration of BPA. Levels found did not

shown also a good correlation with the type of fish, e.g. two mussel samples showed

levels of 49.2 and 1.4 ng/g.

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7.2. TBBPA

Being a BFR, TBBPA can be leached to the environment as discussed before.

Despite only 20-30% of the total volume produced was used as an additive flame

retardant on material subject to environmental leaching (ECB, 2006), several studies

were conducted to access the levels of this chemical in fishes from oceans and rivers

around the world.

Since few studies have been made on this BFR, Table 3 aggregates studies since

2004 to 2013 where the TBBPA levels in some fishes samples where measured. TBBPA

was found in more than 56% of the samples (total 214) with levels ranging from non-

detected to 418 ng/g.

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Table 3 – TBBPA levels (ng/g) found in river and sea fish samples from different studies since 2004. *average; nd: non-detected

Year Sample Country Sample preparation Method Sampling,

positive samples

TBBPA (ng/g)

range; average

2004

Hermit crab

UK (Morris et al., 2004)

SPE with Soxhlet or homogeneization by Ultra Turrax using binary solvent mixtures (1:1 or 1:3 (v/) acetone n-hexane mixture)

LC-MS

n=9, - TBBPA+ <1-35; 17

Whiting n=3, - TBBPA+ <97-245; 136

Cod Concentration with sulfuric acid to degrade lipid material n=2, - TBBPA+ <0.3-1.8; 1.05

Hake Gel permeation chromatography system n=1, - TBBPA+ <0.2

Eel Elution with DCM n=30, - TBBPA+ <0.1-13; 6.55

Cormorant Reconstitution in isooctane n=5, - TBBPA+ 2.5-14; 8.25

Common tern Fractionation with silica gel column chromatography n=10, - TBBPA+ <2.9

Harbor seal Evaporation to dryness n=2, - TBBPA+ <14

Harbor porpoise n=9, - TBBPA+ 0.1-418; 209.05

2008

Bottlenose dolphin Florida

(Johnson-Restrepo et al.,

2008)

Sohxlet extraction with DCM/hexane (3:1, v/v) for 16h

LC-MS/MS

n=15, 15 TBBPA+ 0.06-8.48; 3.27

Bull shark Concentration and purification by gel permeation

chromatography column n=13, 13 TBBPA+ 0.04-35.6; 17.82

Atlantic sharpnose shark

Filtration through a nylon seringe filter 0.22 and evaporation to dryness

n=3, 3 TBBPA+ 1-2.6; 1.8

2009

Rainbow trout

UK (Harrad et al., 2009)

Pressurized liquid extraction (PLE) hexane/DCM (1:9, v/v) at 90ºc and 1500psi

LC- MS/MS

n=1, - TBBPA+ nd

European perch Heating during 5min, static time 4min, purge time 90s n=6, 2 TBBPA+ nd-1.3; 6.5

Carassius Purification in SPE cartriges containing 8g of acidified

silica (44% sulfuric acid with 2 g Cu powder) n=8, 2 TBBPA+ nd-1,7; 8,5

Common roach Elution in hexane/DCM (1:1, v/v) n=7, - TBBPA+ nd

Common carp Evaporation to dryness n=1, - TBBPA+ nd

Common rud n=1, - TBBPA+ nd

Bream n=1, - TBBPA+ nd

Tench n=1, - TBBPA+ nd

Northern pike n=4, - TBBPA+ nd

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2009

Common carp

China (Shi et al.,

2009)

Soxhlet extraction with n-hexane/acetone (1:1, v/v) for 48h

GC-MS

n=1, - TBBPA+ nd

Extracts concentration to 1-2mL

Bighead carp Purification on a silica/aluminia column

n=1, - TBBPA+ nd Gel permeation chromatography to remove lipids

Tilapia Evaporation to 100µl

n=1, - TBBPA+ nd

2013

Species from Vltava

Czech Republic (Hlouskova et

al., 2013)

Extraction with water/MeCN (2:3, v/v)

HPLC-MS/MS

n=5, - TBBPA+ nd

Species from Labe

Addition of anhydrous MgSO4 and NaCl n=1, 1 TBBPA+ 0.20*

Centrifugation for 5min at 11000 rpm n=5, 5 TBBPA+ 0.03*

Addition of C18 and MgSO4 to the extract n=2, 2 TBBPA+ 2.16*

Centrifugation for 5min at 11000 rpm n=3, 3 TBBPA+ 0.11*

Concentration of the purified extract with evaporation at 40ºC n=2, - TBBPA+

nd

Species from Bilina Reconstitution in MeOH and filtration through 0.2 µm

filter n=3, - TBBPA+ nd

Species from Lusatian Neisse

n=4, - TBBPA+ nd

n=2, - TBBPA+ nd

Species from Dyje

n=4, 4 TBBPA+ 0.16*

n=5, 5 TBBPA+ 0.98*

n=5, 5 TBBPA+ 0.39*

Species from Morava

n=4, - TBBPA+ nd

n=2, 2 TBBPA+ 0.79*

n=1, 1 TBBPA+ 0.21*

Mud carp

South China (He et al., 2013)

Soxhlet extraction with n-hexane/acetone (1:1, v/v)

LC-MS

n=9, 9 TBBPA+ 6.5-66; 35.2

Nile tilapia Gel permeation chromatography to remove lipids

n=15, - TBBPA+ nd-51; 18.1

Plecostomus Purification on a 1 mm i.d. silica column and

concentration n=10, - TBBPA+ nd-53.4; 21.2

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When evaluating the levels of TBBPA found in fish from different sources, whether

rivers or oceans, it is possible to observe levels below those found in the case of BPA,

with the detected maximum level of 418 ng/g in harbor porpoise observed in Morris et al.

study (Morris et al., 2004). In this study, fish samples were collected from different

regions: the ermit crab, whiting, cod and harbor porpoise are from the North Sea; the

hake from the Atlantic (South Ireland); one of the eels from Belgium and the other from

rivers in Netherlands; the cormorant from England; the common tern from the Western

Scheldt; and the harbor seal from the Western Wadden Sea (Morris et al., 2004). Despite

the different origins, all the levels found were low, highlighting the harbor porpoise from

the North Sea, with an average concentration of 209.05 ng/g. However, in the nine

samples of harbor porpoise, the levels were quite disperse, ranging from 0.1 to 418 ng/g

and a standard deviation of 187 ng/g (Morris et al., 2004).

Also in England, Harrad and his colleagues studied several fish samples from

English lakes. In this study, only four of the thirty three samples reveal the presence of

TBBPA although in minor quantities with a maximum observed of 1.7 ng TBBPA per g

of carassius fish. Even in this species, seven of the eight individuals analysed did not

show TBBPA in a quantifying level (Harrad et al., 2009).

In the USA, Johnson-Restrepo et al. found TBBPA in all of the thirty one fish samples

captured from coastal and estuarine waters between 1991 and 2004 they have analysed.

The levels of this BFR were generally low, with a maximum observed of 35.6 ng TBBPA

per g of bull shark from the East coast of Florida (Johnson-Restrepo et al., 2009).

However, the values found for this shark specie were quite disperse, since it ranged from

0.035 to 35.6 ng/g.

Despite the samples analysed in the study of Shi et al. have been collected from a

e-waste area (extent of the country where are discarded electrical or electronic devices),

the farmed fish samples analysed showed non detectable TBBPA traces. In this study,

the authors also compared the presence of TBBPA with other BFRs in this species and

between fishes and birds and conclude that “Plausible explanations for the different BFR

pattern between bird and fish are the difference in their dietary habits or bioaccumulation

tendencies.” (Shi et al., 2009).

TBBPA was determined in 23% of scanned samples and its concentrations were

relatively low ranging from 0.14 to 4.43 ng/g. Labe River was acknowledged as the most

contaminated locality by TBBPA with the mean concentration of 2.16 ng/g. In this area,

the fishes were collected downstream from the chemical factory. In the Dyje River and

the Morava River, mean concentrations of 0.98 and 0.79 ng/g were measured,

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respectively. The locations bathed by these two rivers spill their sewage treatment plants

waste to the river, where the fish samples were collected. In other monitored localities,

only background concentrations of TBBPA in the range of non-detected to 0.39 ng/g

were determined (Hlouskova et al., 2013).

The authors consider that the low amounts of TBBPA found in aquatic biota can be

explained by the fact that “TBBPA emissions are probably low compared to other BFRs,

since this chemical belongs to the group of reactive BFRs which are chemically bound

into polymeric matrix” or because “TBBPA has a lower bioaccumulation potential

compared to other BFRs as PBDEs” and also due to the elimination of TBBPA from the

organisms (Hlouskova et al., 2013).

In the study of He et al. (2013), TBBPA was detected in thirty one out of thirty four

fish samples. There are no significant differences in TBBPA level between the three fish

species although the mud carp exhibits relatively higher mean value (35.2 ng/g) than the

nile tilapia with 18.1 ng/g and the plecostomus with 21.2 ng/g. This levels were significant

higher than those found in fish collected from the UK lakes where TBBPA was only

detected in 13% of the samples at very low level (<2 ng/g) (Harrad et al., 2009). The

TBBPA levels (<0.1 ng/g) in fish collected from Netherlands rivers were lower than the

present study by 100 orders of magnitude (Morris et al., 2004). The TBBPA levels in this

study were even higher than those in high trophic level organism such as marine

predators (9.5 ng/g) from Florida (Johnson-Restrepo et al., 2008).

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8. BPA and TBBPA occurrence in seaweed

To the best of our knowledge, there are only two studies reporting levels of BPA in

algae. Gattullo et al. in 2012, studied the ability of the green algae Monoraphidium braunii

to remove BPA in different concentrations from the environment where they were grown

in the presence and absence of natural organic matter, since it may interfere with

xenobiotics and modify their effects, modulate algal growth performances or produce a

trade-off of both effects (Gattullo et al., 2012). The determination of BPA in algal culture

is synthetized in Figure 19.

At the highest concentration, BPA reduced the algal growth and photosynthetic

efficiency. After 4-day growth, good removal efficiency was exerted by M. braunii at

Collection of an aliquot of 1.5mL of each algal suspension after 2 and 4 days of growth

Centrifugation

13000 rpm

10 min

10ºC

Filtration of the supernatant

0.45µm Millipore™ filters

HPLC-UV detection

LC18 column (250 mm x 4.6 mm x 5 µm)

Flow rate 1 mL / min

Mobile phase acetonitrile/water (70:30, v/v)

Figure 19 – Determination of residual BPA in algal culture by HPLC-UV detection. Gattullo, C., Bahrs, H.,

Steinberg, C., and Loffredo, E. (2012) “Removal of bisphenol A by the freshwater green alga Monoraphidium

braunii and the role of natural organic matter.” Science of the Total Environment 416, 501-506

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concentrations of 2, 4 and 10 mg/l removing, respectively, 39%, 48% and 35% of the

initial BPA. The natural organic matter added to the media hardly influenced this ED

removal. In view of these results, the authors consider that M. braunii could be

recommended for the phytoremediation of aquatic environments from BPA (Gattullo et

al., 2012).

The study of Yang et al. in 2014 aims to understand the distribution and

bioconcentration of EDCs in water, algae, and wild carp bile of the Pearl River Delta in

South China. The method used for extraction, derivatization and chromatographic

analysis of BPA in algae samples is synthetized in Figure 20.

Dry algae samples spiked with surrogate standards

BPAd16

Soxhlet Extraction:

200 mL acetone/DCM (1:1,

v/v)

24h

Concentration to 1 mL in

rotary evaporator

Purification:

glass column (200 mm x 10.5 mm i.d.)

dry-packed with 1.5g deactivated silica

topped with 1 g anhydrous sodium sulfate

preconditionated with 10 mL ethyl acetate/hexane (4:6, v/v)

elution of the extract with 20 mL acetate/hexane (4:6, v/v)

Concentration to 1 mL in

nitrogen flow

Dissolution of the residual in 1 mL

MeOH and 100 mL redistilled water

Extraction:

ENVI-18 SPE cartridge

conditioned with 5 mL MeOH and 5 mL redistilled water

Dryness in vacuom for 30

min

Elution of the cartridge with 8 mL acetonitrile

Dehydratation of the extract

with anhydrous sodium sulfate

Concentration to 1 mL by

rotary evaporation

Derivatization with

pentafluorobenzoylation

GC-MS

Figure 20 – Determination of BPA in algae samples collected from the Pearl River Delta, South China, and GC-

MS detection. Yang, J., Li, H., Ran, Y. and Chan, K. (2014) “Distribution and bioconcentration of endocrine

disrupting chemicals in surface water and fish bile of the Pearl River Delta, South China.” Chemosphere 107, 439-

446

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In the algae studied, BPA was found in concentrations ranging from 16 to 94 ng/L.

The presence of 4-tert octylphenol (OP), and 4-nonylphenol (NP) was also investigated.

The authors considered that “phenolic EDCs can be accumulated by wild carp bile and

algae in the investigated aquatic ecosystems, which is also affected by the degree of the

eutrophication” (Yang et al., 2014).

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1. Chemicals and reagents

Bisphenol A (BPA; 99 % purity) and tetrabromobisphenol A (TBBPA; 99 % purity) were

purchased from Sigma-Aldrich (West Chester, PA, USA). Tetrabromobisphenol A ring-13C12

(TBBPA13C12; 99 % purity) and d16-bisphenol A (BPAd16; 98 atom % D) used as I.S. were

purchased from Sigma-Aldrich and Cambridge Isotope Laboratories, Inc. (Tewksbury, MA,

USA) respectively. Bisphenol B (BPB; >98 % purity) used as I.S. in alternative to BPAd16

for quantification of BPA in seaweeds was also purchased from Sigma-Aldrich.

QuEChERS solvents: acetonitrile (MeCN, gradient grade for HPLC; 78.6% purity) and

anhydrous magnesium sulfate (anhydrous MgSO4; 99.5% purity) were purchased from

Sigma-Aldrich; sodium chloride (NaCl; 99.5% purity) and ammonium acetate (97% purity)

were purchased from AppliChem Panreac ITW Companies (Barcelona, Spain). To ensure

efficient removal of phthalates and residual water, anhydrous MgSO4 was treated for 5 h at

500 °C in a muffle furnace. LLE solvents: n-hexane (gradient grade for HPLC), MTBE (pro-

analysis) and benzene (pro-analysis) were purchased from MERCK (Darmstadt, Germany).

Ultra-pure Milli-Q water was obtained using a Millipore Milli-Q system (Millipore,

Bedford, MA, USA) and MeOH (MeOH, for HPLC LC-MS grade) was purchased from VWR

(Radnor, PA, USA).

2. Standards and quality control materials

Individual stock solutions of BPA (200 mg/L) and TBBPA (200 mg/L) were prepared in

MeOH. Standard working solutions containing both BPA and TBBPA in concentration of

1000 ng/mL were prepared in 10% ultra-pure MilliQ water with 5mM ammonium acetate

and 90% MeOH. Individual working solutions of BPAd16 and TBBPA13C12 (1000 µg/L) were

also prepared in 10% ultra-pure MilliQ water with 5mM ammonium acetate and 90% MeOH.

All the solutions were stored at −28 °C when not in use.

Matrix-matched calibration curves were achieved by analyzing blank samples (free of

both BPA and TBBPA) spiked with known amounts of the analytes. Analytes concentration

in the analyzed samples was obtained by the I.S. method.

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3. Sampling

3.1. Seafood

The ECsafeSEAFOOD project consortium comprises 18 institutions from nine

European member states (Belgium, Denmark, France, Ireland, Italy, the Netherlands,

Portugal, Slovenia and Spain) and one associated country (Norway). Led by the Portuguese

Institute of Sea and Atmosphere (IPMA) with the contribution of twelve partners, this

multidisciplinary project intends to access environmental contamination and respective

impact on public health by determination of some priority contaminants e.g., HBCDD,

PBDEs, HBB, TBBPA, BPA, triclosan, methylparaben, nonylphenol, TBEP, inorganic

arsenic, methyl mercury, microplastics, pharmaceuticals (like diclofenac, sulfamethoxazole,

sotalol, diazepam, carbamazepine, and venlafaxine) PAHs, and UV-filters, in seafood

collected in different European regions between 2014 and 2015 as well as the effects of

industrial and home preparation on contaminant content.

The seafood samples were obtained in two periods of the year (Round I and Round II)

and the target species and respective information are summarized in Table 4 (species from

Round I) and Table 5 (species from Round II). The number of species was selected

according to the chances of success for detection and identification of selected priority

contaminants. The criteria used for selecting target species were the following: a) most

common species consumed in the studied area; b) potential to accumulate high

concentrations of chemicals; c) wide geographic distribution; d) easy identification; e)

abundance; f) easy to capture; g) large enough to provide adequate tissue for analysis; h)

from different geographical origins; i) from different habitats; j) from extra-EU origin or from

EU production; and k) from wild or farmed origin. The tissues collected from mussels and

macroalgae were all edible content, from seafood and shrimp the muscle was collected and

from brown carb the brown meat.

Briefly, in each round for each species and location a minimum of twenty-five

specimens (at least 800 g) were sampled. Each specimen, of each species, was divided in

three portions (except for bivalves) namely raw, cooked and save (freeze). To obtain the

cooked samples, the seafood samples were steamed for 15 min at 105ºC after adding salt

(2% fillet weight) and then cooled in room temperature. Both the pooled samples performed

of raw or cooked species were homogenized, placed in weighted recipients, freeze-dried

and homogenised again, before being sent to the laboratories.

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Table 4 - Seafood species from Round I (captured in April-June, 2014) for BPA and TBBPA analysis and their respective location.

Code Matrix Location Specie

Round I

1 Mackerel Goro (IT) Scomber scombrus

2 Farmed seabream Greece Saprus aurata

3 Mussel Goro (IT) Mytilus

galloprovincialis

4 Mackerel North Sea (DK) Scomber scombrus

5 Atlantic Cod North Sea (DK) Gadus morhua

6 Farmed salmon Norway Salmo solar

7 Mussel Limfiord (DK) Mytilus edulis

8 Canned mackerel Portugal Scomber sp.

9 Small monkfish Atlantic coust (PT) Lophius piscatorius

10 Large monkfish Atlantic coust (PT) Lophius piscatorius

11 Canned tuna Portugal Katsuwonus pelamis

12 Canned sardine Portugal Sardina pilchardus

13 Mackerel Channel (FR) Scomber scombrus

14 Mussel Channel (FR) Mytilus edulis

15 Mackerel North Sea (DK) Scomber scombrus

16 Farmed salmon Scotland Salmo solar

17 Mussel Inshot (ND) Mytilus edulis

[Atraia a atenção do seu leitor colocando uma boa citação no

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18 Brown crab North Sea (DK) Cancer pagurus

19 Cod Pacific ocean Gadus macrocephalus

20 Tuna small Pacific ocean Katsuwonus pelamis

21 Tuna large Pacific ocean Katsuwonus pelamis

22 Nile Perch Pacific ocean Lates niloticus

23 Farmed pangasius Vietnam Pangasius bocourti

24 Farmed shrimp

vannamei India Litopenaeus vannamei

25 Mackerel Atlantic coust (ES) Scomber scombrus

26 Mussel Mediterranean Sea Mytilus

galloprovincialis

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Table 5 - Seafood species from Round II (captured in September-January, 2015) for BPA and TBBPA analysis and their respective capture location.

Code Matrix Location Specie

Round II

27 raw Mackerel Goro (IT) Scomber scombrus

27 cooked Mackerel, cooked Goro (IT) Scomber scombrus

28 raw Farmed seabrem Greece Sparus aurata

28 cooked Farmed seabrem,

cooked Greece Sparus aurata

29 raw Mussels Goro (IT) Mytilus

galloprovincialis

29 cooked Mussels, cooked Goro (IT) Mytilus

galloprovincialis

30 Drip Loss - -

31 Mackerel North Sea (DK) Scomber scombrus

32 Atlantic cod North Sea (DK) Gadus morhua

33 Farmed salmon Norway Salmo solar

34 Mussels Limfiord (DK) Mytilus edulis

35 Canned sardine Portugal Sardina pilchardus

36 raw Small monkfish Atlantic coust (PT) Lophius piscatorius

36 cooked Small monkfish,

cooked Atlantic coust (PT) Lophius piscatorius

37 raw Large monkfish Portugal Lophius piscatorius

37 cooked Large monkfish,

cooked Portugal Lophius piscatorius

38 Canned tuna Portugal Katsuwonus pelamis

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39 Canned mackerel Portugal Scomber sp.

40 raw Mussel Channel (FR) Mytilus edulis

40 cooked Mussel, cooked Channel (FR) Mytilus edulis

41 Mackerel North Sea (DK) Scomber scombrus

42 Mussel Inshot (ND) Mytilus edulis

42 steamed Mussel, steamed Inshot (ND) Mytilus edulis

43 Brown crab Noth Sea (DK) Cancer pagurus

43 steamed Brown carb, steamed North Sea (DK) Cancer pagurus

44 Imported tuna small - Katsuwonus pelamis

45 Imported tuna large - Katsuwonus pelamis

46 Shrimp vannamei India Litopenaeus vannamei

47 Shrimp vannamei India Litopenaeus vannamei

48 raw Mussel Atlantic coust (ES) Mytilus

galloprovincialis

48 cooked Mussel, cooked Atlantic coust (ES) Mytilus

galloprovincialis

49 raw Mackerel Mediterranean Sea Scomber scombrus

49 cooked Mackerel, cooked Mediterranean Sea Scomber scombrus

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3.2. Seaweed

BPA and TBBPA were also studied in the wild seaweeds (Saccharina latissima and

Laminaria digitata) species supplied from Hortimare. The samples were collected in the

Netherlands (Texel) in August/September/October 2014 and transferred to tanks for

acclimation at Hortimare facilities. After 14 days of cultivating in suitable conditions, the

macroalgae samples were collected at different times (see Table 6), homogenized and

freeze-dried for quantification of the target contaminants. One control, corresponding to

macroalgae cultivated in water without any level of contaminants, was also analysed.

Table 6 - Number of seaweed samples analysis for each contaminant (BPA and TBBPA) and times of

sampling collection.

Seaweed (n=1) Spiking

concentration (µg/L)

Sampling time (hours)

0 12 24 48 120 240 360

Saccharina latíssima

0 (control I) 1 1 1 1 1 1 1

1 1 1 1 1 1 1

10 1 1 1 1 1 1

Laminaria digitata

0 (control I) 1 1 1 1 1 1 1

1 1 1 1 1 1 1

10 1 1 1 1 1 1

4. Sample preparation

Once arrived at the laboratory, lyophilized samples had similar treatments, although

given the specificity of the samples under study some adjustments were needed for each

kind of matrix (fish, mussels and seaweeds).

The sample preparation is schematized in Figure 21, entailing the following steps: (1)

weigh 2 g of thoroughly homogenized sample into a 40 mL glass vial tube; (2) add 80 μL of

BPAd16 at 1000 ng/mL (BPB at 1000 ng/mL for seaweeds) and 80 μL of TBBPA13C12 at

1000 ng/mL working solution (I.S.); (3) add 7 mL of ultra-pure MilliQ water and seal the tube,

handshaking it for 2 min; (4) add 10 mL of MeCN, 100 μL of HCl 10M (pH=4), 4 g of

anhydrous MgSO4 and 1 g of NaCl; (7) seal the tube and shake vigorously by hand for 10

min; (8) centrifuge the tube at 2000 g for 5 min. Then, a LLE procedure was performed: (1)

transfer 3 mL of the MeCN extract to a 15 mL glass vial tube with 7 mL of ultra-pure MilliQ

water; (2) add 4 mL of n-hexane:MTBE (3:1, v/v) to the MeCN extract and handshake

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vigorously; (3) transfer 3 mL of the upper layer to a new 15 mL vial; (4) add 4 mL of n-

hexane:benzene (3:1, v/v) to the MeCN extract and handshake vigorously; (5) transfer 3

mL of the upper layer to the 15 mL glass vial, with a total volume of 6 mL extracted. The

final extracts were concentrated under a stream of nitrogen (SBH CONC/1 sample

concentrator from Stuart® (Staffordshire, OSA, USA), reconstituted in mobile phase - 100

μL of 5mM ammonium acetate and 900 μL of MeOH - and transferred to a 2 mL glass vial

before LC-MS/MS analysis.

For water or aqueous samples, the procedure was the same, accomplished with 2 g of

the water/aqueous sample.

2 g homogenised sample added with internal standard

10mL acetonitrile 100µL HCl 10M (pH=4)

7mL water

4 mg MgSO4 1 mg NaCl

Centrifuge 5min 2000 g

QuEChERS

LLE

QuEChERS extract (3 mL)

1. 4 mL n-hexane:MTBE (3:1, v/v)

2. 4 mL n-hexane:benzene (3:1, v/v)

Extract 6 mL 1. Extract 3 mL

2. Extract 3 mL

7 mL MilliQ water

Figure 21 - Sample preparation QuEChERS and LLE procedures steps prior to LC-MS/MS analysis.

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Chapter II Experimental Part

63

5. LC-MS/MS equipment and conditions

Separation and quantification of the target analytes were performed by using a liquid

chromatoghraph Waters 2695 Separations Module interfaced to a triple quadrupole mass

selective detector Micromass Quattro micro API™, both equipments purchased from

Waters (Milford, MA, USA). The injection volume was set at 20 µL. The chromatographic

separation was carried out with a Kinetex® Phenomenex® C18 column (2.6 µm, 100 mm x

4.60 mm (i.d.)) from Phenomenex (Torrance, CA, USA) at a flow rate of 0.20 mL/min. The

column temperature was kept at 30ºC. The mobile phases were (A) 5mM ammonium

acetate (pH=5) and (B) MeOH in an isocratic gradient (10% solvent A and 90% solvent B).

Figure 22 - LC-MS/MS apparatus.

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III. Results and Discussion

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Chapter III Results and Discussion

64

1. Optimization of the analytical methodology to quantify BPA and

TBBPA by LC-MS/MS

1.1. Optimization of chromatographic conditions

LC-MS/MS settings and ESI source parameters were initially optimized by manual

infusion of each compound (BPA, TBBPA, BPAd16, TBBPA13C12 and BPB) at 200 ng/mL,

using a syringe pump.

Mass analysis was performed with an ESI source in the negative ion mode (ESI-) for

all the analytes because of its higher sensitivity compared with positive ion mode (ESI+).

Nitrogen was used as the nebuliser gas. The optimum MS parameters were: capillary, 3.00

kV; extractor, 2 V; RF Lens, 0.5 V; Source Temperature, 150ºC; Desolvation Temperature,

350ºC; Desolvation Gas Flow, 350.0 L/h; Cone Gas Flow, 60.0 L/h; LM Resolution, 13.0;

Ion energy, 1.0; Entrance, 1; Exit, 2; Multiplier, 650. All analyses were performed in multiple

reaction monitoring (MRM) mode. The optimized parameters are summarized in Table 7.

Table 7 - Optimized conditions to LC-MS/MS analysis of BPA and TBBPA, with the I.S. BPAd16 and BPB (for

seaweed samples) for BPA and TBBPA13C12 for TBBPA determination.

BPA BPAd16 TBBPA TBBPA13C12 BPB

Retention time (min) 7.89 7.82 9.03 9.11 7.80

Precursor ion (Da) 227.26 241.15 542.87 554.92 242.33

Product ions (Da)

133.14

211.43

142.18

223.25

419.87

446

428.84

457.92

212.32

226.83

Cone energy (V) 40 40 35 35 30

Collision energy (kV) 30 20 40 40 26

Dwell time (ms) 0.3 0.05 0.3 0.3 0.3

The optimal flow rate of the mobile phase was found to be 0.2 mL/min. Once this value

was determined, two different transitions were selected (precursor-product ion) for each

analyte, one for quantification (the ion quantifier) and another for confirmation (the ion

qualifier).

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Chapter III Results and Discussion

65

For BPA, the 211.43 m/z ion was selected as the qualifier owing to the low signal-to-

noise (S/N) ratio with high peak intensity (SIR transition 227.86 > 211.43). The 133.14 m/z

ion was selected as the quantifier based on the higher S/N ratio (SIR transition 227.86 >

133.14) (Figure 23). BPAd16 was used as I.S. for BPA, with the 223.25 m/z ion selected as

the qualifier (SIR transition 241.15 > 223.25) and the 142.18 m/z ion was selected as the

quantifier (SIR transition 241.15 > 142.18) (Figure 25). BPB was also used as I.S: for BPA,

with the 226.83 m/z ion selected as the qualifier (SIR transition 242.33 > 226.83) and the

212.32 m/z ion was selected as the quantifier (SIR transition 242.33 > 212.32) (Figure 27).

For TBBPA, the 446.00 m/z ion was selected as the qualifier owing to the low S/N with

high peak intensity (SIR transition 542.87 > 446.00). The 419.87 m/z ion was selected as

the quantifier based on the higher S/N ratio (SIR transition 542.87 > 419.87) (Figure 24).

This two daughter ions correspond to the loss of one methyl group [M−CH3]−, and the

subsequent loss of one bromine [M−CH2−Br]−. TBBPA13C12 was used as I.S. for TBBPA,

with the 457.92 m/z ion selected as the qualifier (SIR transition 554.92 > 457.92) and the

428.84 m/z ion was selected as the quantifier (SIR transition 554.92 > 428.84) (Figure 26).

These ions were monitored using the MRM mode and this is summarized in Table 7. In both

spectrums (TBBPA and TBBPA13C12) it can be seen (Figure 24 and 26) that the most

predominant ions are the 79.0 and 81.0 m/z fragments, corresponding to the bromo ion

which was expected since bromo natural abundance is 50% for 79.0 m/z and 50% for 81.0

m/z.

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Chapter III Results and Discussion

66

BPA_BPAD_D_20OU

m/z40 50 60 70 80 90 100 110 120 130 140 150 160 170 180 190 200 210 220 230 240 250 260 270 280 290 300 310

%

0

100

%

0

100

BPA_BPAD_D_20OUT2 131 (5.267) Sb (1,40.00 ); Cm (7:311) 2: Daughters of 227ES- 3.95e3133.23

133.11

92.66

72.1055.4150.23 86.41

93.29

118.8598.73

133.36 212.30

211.43

140.11181.17

159.05152.73

174.30194.93 209.74

227.37

212.62

222.24

251.75

233.68 250.81 286.76255.94274.75 299.20

BPA_BPAD_D_20OUT5 155 (5.223) Sb (1,40.00 ); Cm (5:315) 4: Daughters of 227ES- 3.04e3133.14

132.95

100.75

64.39

60.1753.89

51.01

93.00

71.69 89.87

132.43

118.16111.31

133.33211.43

211.24

141.72

181.02151.06

159.19 184.03194.02

212.45

227.11 246.64241.71249.78

m/z

Figure 23 - Ion spectrum of BPA after direct infusion in the MS/MS system with collision at 30 kV. The

product ions selected from BPA confirmation and quantification were 211.43 m/z and 133.14 m/z, respectively.

m/z40 60 80 100 120 140 160 180 200 220 240 260 280 300 320 340 360 380 400 420 440 460 480 500 520 540 560 580 600 620

%

0

100

TBBPA_27ABRIL 1 (0.170) Cm (1:4) Daughters of 543ES- 1.00e578.65 80.71 419.51

290.72

290.53

288.65

168.91

168.60

89.04250.86

250.74

250.11252.68

291.09

292.91

293.16416.57

337.66

294.10

404.53338.22

339.41 366.43

419.76

446.09

445.84

445.59

445.21

420.76

420.89

444.52

444.08

448.03

448.28

448.59

448.97

542.61

542.24

449.41

449.72

540.98450.10

542.80

543.18

543.37

543.68

544.12

m/z

Figure 24 - Ion spectrum of TBBPA after direct infusion in the MS/MS system with collision at 40 kV. The

product ions selected from TBBPA confirmation and quantification were 446.00 m/z and 419.87 m/z, respectively.

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Chapter III Results and Discussion

67

m/z

m/z100 110 120 130 140 150 160 170 180 190 200 210 220 230 240 250 260 270 280 290 300

%

0

100

BPA 1 (0.168) Cm (1) Daughters of 241ES- 1.00e5142.25

141.00128.80

142.43

223.40

222.40

221.47

178.51199.33

193.64241.29

240.85

m/z

Figure 25 - Ion spectrum of BPAd16 after direct infusion in the MS/MS system with collision at 20 kV. The

product ions selected from BPA confirmation and quantification were 223.25 m/z and 142.18 m/z, respectively.

TBBPAD_D_20OUT

m/z40 60 80 100 120 140 160 180 200 220 240 260 280 300 320 340 360 380 400 420 440 460 480 500 520 540 560 580 600 620

%

0

100

TBBPAD_D_20OUT 1241 (6.252) Cm (1184:1282) Daughters of 555ES- 7.11e478.70

68.3358.10

80.69

428.84

81.10428.22

296.67

296.26

174.51

166.3498.82 121.89

294.41

177.26 256.82

297.02

428.02

299.08

374.06340.31299.29

328.36

427.12

378.18398.80

430.84

457.92

457.71

431.25

457.16

431.45

456.89

432.14

459.71

554.92460.32

554.57460.87

554.37

542.54483.35

555.12

582.97 594.45

Figure 26 - Ion spectrum of TBBPA13C12 after direct infusion in the MS/MS system with collision at 40 kV.

The product ions selected for TBBPA13C12 confirmation and quantification were 457.92 m/z and 428.84 m/z, respectively.

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Chapter III Results and Discussion

68

The use of two stable isotope-labeled I.S. allowed a clear identification of the signals

for both BPA and TBBPA. These fragmentation patterns were included in the acquisition

method, and quantitation of BPA and TBBPA are reported relative to the I.S..

When preparing the gradient, the first attempt was an isocratic gradient of ultra-pure

MilliQ water as solvent A and MeOH as solvent B. It was observed that the addition of

ammonium acetate to ultra-pure MilliQ water improved sensitivity and peak shapes owing

to the optimum ionization of the compounds. The best separation, peak shapes and

ionization of the compounds were obtained with an isocratic gradient: 10% of a mixture of

ammonium acetate aqueous solution at pH 5 as solvent A, and 90% MeOH as solvent B.

m/z100 120 140 160 180 200 220 240 260 280 300

%

0

100

BPB 3 (0.510) Cm (2:5) Daughters of 242ES- 1.00e5212.07

211.13148.04

146.98 210.44

212.94

242.08

227.08

Figure 27 - Ion spectrum of BPB after direct infusion in the MS/MS system with collision at 26 kV. The product ions selected for BPB confirmation and quantification were 226.83 m/z and 212.32 m/z, respectively.

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Chapter III Results and Discussion

69

1.2. Optimization of extraction conditions

BPA is almost ubiquitous in the environment; thus, special attention should be given to

all factors that could interfere with the analysis such as plastic tubes, contamination of

glassware and other materials that come in contact with analytical samples or standards. In

this study, only glass vials were used, all of them previously treated for 2 h at 500 °C in a

muffle furnace before use, and quality control blanks were periodically prepared and

analysed.

Three methodologies were initially tested for BPA and TBBPA extraction and

determination, all the experiments have been performed in duplicated. The method reported

by Gallart-Ayala et al. (2013) was the first tested. In this method, the extraction of BPA and

TBBPA from seafood is achieved with the addition of 6 mL of ethyl acetate to a previously

homogenised large monkfish sample fortified with 200 µL a mixture solution of BPA and

TBBPA (both at 1000 ng/mL). After, centrifugation the extract that was evaporated and

reconstituted with mobile phase and added with 80 µL of each I.S. BPAd16 (1000 ng/mL)

and TBBPA13C12 (1000 ng/mL). Although the analytes has been successfully eluted from

the column, the recovery of BPA for this procedure was only 11.9% when compared to the

same extracted sample spiked with 200 µL of mixture solution of BPA and TBBPA (both at

1000 ng/mL) in the final step of extraction (reconstitution phase).

In an attempt to improve recovery, 6 mL of a mixture of ethyl acetate/MeOH (1:1, v/v)

was added in substitution of the ethyl acetate. A homogenized large monkfish sample

fortified with 200 µL a mixture solution of BPA and TBBPA (both at 1000 ng/mL), was

submitted to a clean-up step with an ultrasounds bath for 10 min prior to a salting-out

extraction step using 4 g of MgSO4 and 1 g of NaCl. Followed the evaporation, the extract

was added with 80 µL of each I.S. BPAd16 (1000 ng/mL) and TBBPA13C12 (1000 ng/mL) and

reconstitution with MeOH/ 5mM ammonium acetate (9:1, v/v). The recoveries were also

lower (22.0% for BPA and 3.0% for TBBPA), when compared to the same extracted sample

but with the addition of mixture solution of BPA and TBBPA (both at 1000 ng/mL) in the

reconstitution phase.

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Chapter III Results and Discussion

70

Last, we modified and tested the extraction method reported by Cunha et al. (2012) to

determination of BPA and BPB in canned seafood by GC-MS for this work. Thus, 2 g of

homogenized large monkfish sample was weight and fortified with 200 µL a mixture solution

of BPA and TBBPA (both at 1000 ng/mL). Then was added 10 mL of MeCN, 7 mL of ultra-

pure MilliQ water 4 g of anhydrous MgSO4 and 1 g of NaCl. After shaking for 15 min and

centrifuge at 2000 rpm for 5 min, 3mL of the supernatant was transferred to a new vial with

7 mL of ultra-pure MilliQ water. Then a LLE was applied procedure instead of DLLME: 4 mL

of the mixture of n-hexane/MTBE (3:1, v/v) was added, shaked by hand and 3 mL of the

top-layer was transferred to a new vial. Then, a second LLE with 4 mL of the mixture n-

hexane/benzene (3:1, v/v) were made, shaked by hand and another 3 mL of the top-layer

Signal 4.66e3

Signal 2.97e3

Signal 2.62e3

Signal 6.04e3

Signal 8.49e3

Signal 4.06e3

Signal 4.30e3

Signal 2.62e3

'' 100 PE inicio e 40PI fim da extracao com 5ml agua sem ultrassons

Time2.00 4.00 6.00 8.00 10.00 12.00 14.00 16.00 18.00 20.00 22.00 24.00 26.00 28.00 30.00

%

0

100

2.00 4.00 6.00 8.00 10.00 12.00 14.00 16.00 18.00 20.00 22.00 24.00 26.00 28.00 30.00

%

0

100

2.00 4.00 6.00 8.00 10.00 12.00 14.00 16.00 18.00 20.00 22.00 24.00 26.00 28.00 30.00

%

0

100

2.00 4.00 6.00 8.00 10.00 12.00 14.00 16.00 18.00 20.00 22.00 24.00 26.00 28.00 30.00

%

0

100

2.00 4.00 6.00 8.00 10.00 12.00 14.00 16.00 18.00 20.00 22.00 24.00 26.00 28.00 30.00

%

0

100

2.00 4.00 6.00 8.00 10.00 12.00 14.00 16.00 18.00 20.00 22.00 24.00 26.00 28.00 30.00

%

0

100

2.00 4.00 6.00 8.00 10.00 12.00 14.00 16.00 18.00 20.00 22.00 24.00 26.00 28.00 30.00

%

0

100

2.00 4.00 6.00 8.00 10.00 12.00 14.00 16.00 18.00 20.00 22.00 24.00 26.00 28.00 30.00

%0

100

EXT_acetetilomet_5nov4 2: MRM of 4 Channels ES- 554.92 > 457.92 (TBBPAD1)

2.62e3

9.459.29

8.89 9.5613.11

12.5911.17 14.18 14.50

EXT_acetetilomet_5nov4 2: MRM of 4 Channels ES- 554.92 > 428.84 (TBBPAD2)

4.30e3

9.40

9.08 14.9313.7813.16

10.9812.46

EXT_acetetilomet_5nov4 2: MRM of 4 Channels ES- 542.87 > 446 (TBBPA1)

4.06e3

9.40

9.08 9.6913.4010.90

12.9714.5014.74

EXT_acetetilomet_5nov4 2: MRM of 4 Channels ES- 542.87 > 419.87 (TBBPA2)

8.49e3

9.40

9.0513.4011.4711.17 12.51

EXT_acetetilomet_5nov4 1: MRM of 4 Channels ES- 241.15 > 223.25 (BPAD2)

6.04e3

7.957.84

4.161.76 3.272.55 6.536.065.14

8.108.41

EXT_acetetilomet_5nov4 1: MRM of 4 Channels ES- 241.15 > 142.18 (BPAD1)

2.07e3

8.067.936.755.184.472.631.43

3.13 5.68 8.30

EXT_acetetilomet_5nov4 1: MRM of 4 Channels ES- 227.26 > 211.43 (BPA2)

2.97e3

7.97

7.757.145.885.754.203.222.33

1.798.10

8.37

EXT_acetetilomet_5nov4 1: MRM of 4 Channels ES- 227.26 > 133.14 (BPA1)

4.66e3

7.99

5.665.474.773.90

2.941.70 7.406.08 8.65 BPA: 227.86 > 133.14

BPA: 227.86 > 241.13

BPAd16: 241.15 > 142.18

BPAd16: 241.15 > 223.25

TBBPA: 542.87 > 419.87

TBBPA: 542.87 > 446.00

TBBPA13C12: 554.92 > 428.84

TBBPA13C12: 554.92 > 457.92

Figure 29 - LC-MS/MS product ions chromatogram of a solution of 100 ng/mL BPA and TBBPA and 40 ng/mL

BPAd16 and TBBPA13C12 after extraction with a mixture of ethyl acetate/MeOH (1:1, v/v) followed by a clean-up in a 5 min ultrasounds bath and salting-out with the addition of 4 g MgSO4 and 1 g NaCl and 7 mL ultra-

pure MilliQ water.

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Chapter III Results and Discussion

71

was transferred to the vial. The final extract (6 mL) was finally evaporated to dryness, added

with 80 µL of each I.S. BPAd16 (1000 ng/mL) and TBBPA13C12 (1000 ng/mL), and

reconstituted in mobile phase (100 μL of 5mM ammonium acetate and 900 μL MeOH) and

20.0 μL injected in the LC-MS/MS system. This procedure was compared with one similar

where the fortification was performed in the last step (reconstitution in mobile phase). With

this procedure, recoveries of 28.0 % for BPA and 51.8% for TBBPA were achieved.

Signal 1.39e3

Signal 3.66e3

Signal 1.19e4

Signal 3.94e3

metodoSARA 100ppbPE no inicio e 40ppbPI antes evap

Time2.00 4.00 6.00 8.00 10.00 12.00 14.00 16.00 18.00 20.00 22.00 24.00 26.00 28.00 30.00

%

0

100

2.00 4.00 6.00 8.00 10.00 12.00 14.00 16.00 18.00 20.00 22.00 24.00 26.00 28.00 30.00

%

0

100

2.00 4.00 6.00 8.00 10.00 12.00 14.00 16.00 18.00 20.00 22.00 24.00 26.00 28.00 30.00

%

0

100

2.00 4.00 6.00 8.00 10.00 12.00 14.00 16.00 18.00 20.00 22.00 24.00 26.00 28.00 30.00

%

0

100

2.00 4.00 6.00 8.00 10.00 12.00 14.00 16.00 18.00 20.00 22.00 24.00 26.00 28.00 30.00

%

0

100

2.00 4.00 6.00 8.00 10.00 12.00 14.00 16.00 18.00 20.00 22.00 24.00 26.00 28.00 30.00

%

0

100

2.00 4.00 6.00 8.00 10.00 12.00 14.00 16.00 18.00 20.00 22.00 24.00 26.00 28.00 30.00

%

0

100

2.00 4.00 6.00 8.00 10.00 12.00 14.00 16.00 18.00 20.00 22.00 24.00 26.00 28.00 30.00

%

0

100

metodoSARA_MRM_7nov2 2: MRM of 4 Channels ES- 554.92 > 457.92 (TBBPAD1)

3.83e3

9.26

9.4012.2710.69 12.62

metodoSARA_MRM_7nov2 2: MRM of 4 Channels ES- 554.92 > 428.84 (TBBPAD2)

7.66e3

9.24

11.4110.26

metodoSARA_MRM_7nov2 2: MRM of 4 Channels ES- 542.87 > 446 (TBBPA1)

1.87e3

9.21

8.94 9.4212.3311.98 12.65

metodoSARA_MRM_7nov2 2: MRM of 4 Channels ES- 542.87 > 419.87 (TBBPA2)

3.94e3

9.26

8.91 12.3512.089.59

12.57

metodoSARA_MRM_7nov2 1: MRM of 4 Channels ES- 241.15 > 223.25 (BPAD2)

1.19e4

7.977.86

7.646.082.571.79

5.574.31

3.948.12

8.78

metodoSARA_MRM_7nov2 1: MRM of 4 Channels ES- 241.15 > 142.18 (BPAD1)

3.66e3

7.977.71

4.053.292.792.26 7.565.235.88

8.12

metodoSARA_MRM_7nov2 1: MRM of 4 Channels ES- 227.26 > 211.43 (BPA2)

1.39e3

8.017.716.936.083.903.092.942.22 4.70

8.19

metodoSARA_MRM_7nov2 1: MRM of 4 Channels ES- 227.26 > 133.14 (BPA1)

1.75e3

7.937.80

6.055.344.183.112.892.07 6.348.12 BPA: 227.86 > 133.14

BPA: 227.86 > 241.13

BPAd16: 241.15 > 142.18

BPAd16: 241.15 > 223.25

TBBPA: 542.87 > 419.87

TBBPA: 542.87 > 446.00

TBBPA13C12: 554.92 > 428.84

TBBPA13C12: 554.92 > 457.92

Figure 30 - LC-MS/MS product ions chromatogram of a solution of 100 ng/mL BPA and TBBPA and 40

ng/mL BPAd16 and TBBPA13C12 after extraction with MeCN followed by a salting-out with the addition of 4 g MgSO4 and 1 g NaCl and 7 mL ultra-pure MilliQ water and clean-up with n-hexane/MTBE (3:1, v/v) and n-

hexane/benzene (3:1, v/v).

Signal 1.75e3

Signal 3.83e3

Signal 7.66e3

Signal 1.87e3

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Chapter III Results and Discussion

72

With the aim of achieving a better performance with this methodology, namely better

recoveries of the analytes, the last tested method was improved with the addition of 100 µL

HCl 10M to the extraction solvent (MeCN). The acidification of samples suppresses the

dissociation of phenols and prevents the ionization of the analytes, which increased the

efficiency of the extraction. Otherwise, either decrease retention on the analytical column

or interactions of the analytes and the stationary phase would be obtained, resulting in lower

separation efficiencies (Halaleh et al., 2001). This acidification promoted a better extraction

of both BPA and TBBPA with recoveries of 71.3% and 89.9% respectively.

metodoSARA 100ppbPE no inicio e 40ppbPI antes evap acidif

Time2.00 4.00 6.00 8.00 10.00 12.00 14.00 16.00 18.00 20.00 22.00 24.00 26.00 28.00 30.00

%

0

100

2.00 4.00 6.00 8.00 10.00 12.00 14.00 16.00 18.00 20.00 22.00 24.00 26.00 28.00 30.00

%

0

100

2.00 4.00 6.00 8.00 10.00 12.00 14.00 16.00 18.00 20.00 22.00 24.00 26.00 28.00 30.00

%

0

100

2.00 4.00 6.00 8.00 10.00 12.00 14.00 16.00 18.00 20.00 22.00 24.00 26.00 28.00 30.00

%

0

100

2.00 4.00 6.00 8.00 10.00 12.00 14.00 16.00 18.00 20.00 22.00 24.00 26.00 28.00 30.00

%

0

100

2.00 4.00 6.00 8.00 10.00 12.00 14.00 16.00 18.00 20.00 22.00 24.00 26.00 28.00 30.00

%

0

100

2.00 4.00 6.00 8.00 10.00 12.00 14.00 16.00 18.00 20.00 22.00 24.00 26.00 28.00 30.00

%

0

100

2.00 4.00 6.00 8.00 10.00 12.00 14.00 16.00 18.00 20.00 22.00 24.00 26.00 28.00 30.00

%

0

100

metodoSARA_MRM_7nov4 2: MRM of 4 Channels ES- 554.92 > 457.92 (TBBPAD1)

3.32e3

9.18

9.29

9.59 11.55

metodoSARA_MRM_7nov4 2: MRM of 4 Channels ES- 554.92 > 428.84 (TBBPAD2)

6.35e3

9.16

9.42

11.06 11.33

metodoSARA_MRM_7nov4 2: MRM of 4 Channels ES- 542.87 > 446 (TBBPA1)

2.09e3

9.21

8.83 9.4210.50 11.47

metodoSARA_MRM_7nov4 2: MRM of 4 Channels ES- 542.87 > 419.87 (TBBPA2)

4.10e3

9.16

9.5310.04 11.55

metodoSARA_MRM_7nov4 1: MRM of 4 Channels ES- 241.15 > 223.25 (BPAD2)

1.12e4

7.93

7.71

7.175.572.661.81 3.574.14

8.17

8.76

metodoSARA_MRM_7nov4 1: MRM of 4 Channels ES- 241.15 > 142.18 (BPAD1)

3.76e3

7.93

7.803.622.482.18 6.474.86 5.66

8.08

8.17

metodoSARA_MRM_7nov4 1: MRM of 4 Channels ES- 227.26 > 211.43 (BPA2)

1.46e3

7.997.88

7.043.332.481.09 6.254.903.598.19

metodoSARA_MRM_7nov4 1: MRM of 4 Channels ES- 227.26 > 133.14 (BPA1)

2.42e3

7.99

7.781.113.333.09

6.774.22 4.44

8.15BPA: 227.86 > 133.14

BPA: 227.86 > 241.13

BPAd16: 241.15 > 142.18

BPAd16: 241.15 > 223.25

TBBPA: 542.87 > 419.87

TBBPA: 542.87 > 446.00

TBBPA13C12: 554.92 > 428.84

TBBPA13C12: 554.92 > 457.92

Figure x – Figure 31 - LC-MS/MS product ions chromatogram of a solution of 100 ng/mL BPA and TBBPA and 40

ng/mL BPAd16 and TBBPA13C12 after extraction with MeCN followed by a salting-out with the addition of 4 g MgSO4 and 1 g NaCl and 7 mL ultra-pure MilliQ water with 100 µL of HCl 0.01 M and clean-up with n-

hexane/MTBE (3:1, v/v) and n-hexane/benzene (3:1, v/v).

Signal 1.30e4

e3

Signal 3.94e3

Signal 3.54e3

e3

Signal 3.94e3

Signal 7.17e3

e3

Signal 3.94e3

Signal 6.11e3

e3

Signal 3.94e3

Signal 1.42e4

e3

Signal 3.94e3

Signal 3.57e4

e3

Signal 3.94e3

Signal 6.70e3

e3

Signal 3.94e3

Signal 1.20e4

e3

Signal 3.94e3

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Chapter III Results and Discussion

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2. BPA and TBBPA determination in SEAFOOD

2.1. Validation

The appropriate validation of analytical methods has become an essential part of an

experimental work in order to prove that the analytical method is able to provide reliable

data. Validation of a method involves using experimental design to prove that the method

can produce accurate and precise results within the scope of its intended use.

Understanding the application and limitations of the test method will allow for accurate

assessment of sample information. The validation was achieved through the analysis of

several analytical parameters as linearity, intra-day and inter-day precision, recovery and

LODs and LOQs.

Since the method developed in this work was applied to three different matrices

(seafood, mussels and seaweed) it was essential to make a validation of the method for all

of them in order to test and demonstrate its applicability.

2.1.1. Linearity

Matrix effect can strongly affect chromatographic performance; therefore initially the

slopes of the calibration curves obtained from standard solutions were compared with those

obtained from matrix-matched standards. An enhancement of analytical response for

TBBPA and BPA with matrix was observed. Therefore, the use of matrix-matched

calibration was required for a reliable quantification.

The linearity study was performed by analysing the determination coefficient of the

calibration curves obtained by injection of spiked extracts of large monkfish from the Round

I and canned sardine from the Round II. These two samples were selected since none of

them presented neither BPA nor TBBPA traces, when analysed prior to validation tests.

Additionally, large monkfish is a representative sample of the Round I and canned sardine

a representative of the Round II.

The levels of BPA and TBBPA were quantified using I.S. calibration. Each set of

samples was analyzed with mixed calibration standards with 0.00, 1.00, 2.50, 5.00, 10.0,

15.0, 20.0, 40.0, 100, 150, 400 and 600 ng/g dw of BPA and 0.00, 1.00, 2.50, 5.00, 10.0,

15.0, 20.0, 40.0, 100, 150, 400, 600 and 1000 ng/g dw of TBBPA. Each calibration standard

was fortified with BPAd16 and TBBPA13C12 at 40.0 ng/g dw, added to 2.00 g of selected BPA

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Chapter III Results and Discussion

74

free and TBBPA free samples prior to the extraction methodology described before in

duplicate and finally subjected to LC-MS/MS.

The calibration standards were analyzed before and after each set of validation

samples and the results obtained were used to construct the calibration curve. Calibration

curves were constructed by plotting the analyte/I.S. ratio obtained against the concentration

of each analyte as can be seen in Figure 32 for large monkfish sample from Round I as an

example. The results obtained demonstrated a good linearity within the tested interval, with

coefficients of determination (R2) always higher than 0.98 in the two distinct matrices and

the two chemicals studied (Table 8).

Figure 32 - Calibration curve with large monkfish from Round I samples extracted TBBPA standard solutions (n=2).

Table 8 - Calibration curves equations obtained from the analysis of Round I and Round II selected samples

fortified with BPA and TBBPA at crescent concentrations and respective coefficient of determination (R2). I.S.

at 40 ng/mL.

y = 0.0203x - 0.0228R² = 0.9985

02468

10121416182022

0 50 100 150 200 250 300 350 400 450 500 550 600

ana

lyte

/I.S

. ra

tio

[TBBPA] ng/g

Equation Coefficient of determination

(R2)

Large

monkfish Round I

BPA

TBBPA

y = 0.0039x + 0.232

y = 0.0203x – 0.0228

0.9985

0.9985

Canned Sardine Round II

BPA y = 0.0023x + 0.0787 0.9784

TBBPA y = 0.0104x + 0.4495 0.9957

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Chapter III Results and Discussion

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2.1.2. Precision

The efficacy of the analytical method developed was calculated as the relative standard

deviation (%RSTD) for intra and inter-day precision. These values were calculated from the

peak area obtained from six replicates of a large monkfish (Round I) spiked sample at two

concentration levels (1 and 10 ng/g of both BPA and TBBPA) before the extraction

methodology. The values obtained ranged from 6 to 26 % for large monkfish sample intra-

day repeatability and from 12 to 22 for inter-day repeatability, shown in Tables 9 and 10

respectively.

Table 9 - Intra-day precision in RSTD (%) of BPA and TBBPA after extractive procedure in large monkfish sample (n=6).

1 ng/g 10 ng/g

Large monkfish (Round I)

Average STD RSTD

(%) Average STD RSTD (%)

BPA 0.0227 0.0366 16 0.122 0.0321 26

TBBPA 1.21 0.0737 6 0.338 0.0298 9

Table 10 - Inter-day precision in RSTD (%) of BPA and TBBPA after extractive procedure in large monkfish sample (n=6).

1 ng/g 10 ng/g

Large monkfish (Round I)

Average

. STD

RSTD (%)

Average STD RSTD (%)

BPA 0.0220 0.0374 17 0.0232 0.0381 16

TBBPA 0.0135 0.0296 22 0.262 0.0314 12

2.1.3. Recovery

To evaluate the accuracy of the analytical method recovery tests were performed. The

recovery was determined by comparing the analytical response of the analytes in spiked

large monkfish sample from Round I before and after the extraction step, for two

concentration levels (40.0 and 100 ng/g BPA or TBBPA), being each level performed six

times. The mean recovery values present higher recovery of BPA compared to TBBPA,

ranging from 84 to 94% in the determination of BPA and from 75 to 79% in the determination

of TBBPA, both in large monkfish samples (Table 1).

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Chapter III Results and Discussion

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Table 11 - Recovery (%) of BPA and TBBPA and respective STD after extractive procedure in a large monkfish sample from Round I (n=6).

Recovery (%) ± STD

BPA TBBPA

Concentration (ng/g)

40.0 84 ± 9 79 ± 19

100 94 ± 15 75 ± 13

2.1.4. Method detection limit (MDL) and method

quantification limit (MQL)

The MDL is the lowest concentration of analyte that can be detected but not necessarily

quantified. The MDL of the method were determined by successive analyses of sample

extracts with decreasing amounts of the compounds until a 3:1 signal-to-noise ratio was

reached.

The MQL is defined as the smallest amount of analyte in a sample that can be

measured with acceptable accuracy and precision (coefficients of variation <20%) under

the same analytical conditions as those in the samples. The MQL were established as the

lowest concentration assayed with a 10:1 signal-to-noise ratio.

The obtained values showed a MQL of the method of 1.00 ng/g dw (0.17 ng/g ww) for

both BPA and TBBPA and a MDL of 0.30 ng/g dw (0.05 ng/g ww) equally for both analytes.

These values are slightly smaller than those reported in literature, with levels ranging from

0.05 to 1.00 ng/g ww (EFSA, 2011).

Table 124 - MDL and MQL (ng/g dw) for both BPA and TBBPA determined in large monkfish sample from

Round I.

MDL (ng/g dw)

MQL (ng/g dw)

BPA 0.30 1.00

TBBPA 0.30 1.00

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Chapter III Results and Discussion

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2.2. Levels of BPA and TBBPA in Seafood

Table 13 - BPA and TBBPA levels (ng/g dw) found in seafood samples from Round I (n=2). nd=not detected

Matrix Sampling site

[BPA] ± STD, ng/g dw

[TBBPA] ± STD, ng/g dw

Ro

un

d I

Mackerel Goro (IT) nd nd

Farmed seabream Greece nd nd

Mackerel North Sea (DK) nd nd

Atlantic Cod North Sea (DK) nd nd

Farmed salmon Norway nd nd

Canned mackerel Portugal 150.8 ± 12.6 nd

Small monkfish Portugal 724.7 ± 24.2 nd

Large monkfish Portugal nd nd

Canned tuna Portugal 83.8 ± 9.0 52.6 ± 1.3

Canned sardine Portugal nd nd

Mackerel Channel (FR) nd nd

Mackerel North Sea nd 107.6 ± 29.2

Farmed salmon Scotland nd nd

Brown crab North Sea (DK) nd nd

Cod Pacific ocean nd nd

Tuna small Indonesia (Pacific ocean)

nd nd

Tuna large Indonesia (Pacific ocean)

nd nd

Nile Perch Indonesia (Pacific ocean)

nd nd

Farmed pangasius Vietnam nd 144.2 ± 8.1

Farmed shrimp India nd 84.2 ± 3.8

Mackerel Atlantic coust (ES) nd nd

MDL

0.30 0.30

MQL

1.00 1.00

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Chapter III Results and Discussion

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Table 14 - BPA and TBBPA levels (ng/g dw) found in seafood samples from Round II (n=2). nd=not detected

Matrix Sampling site [BPA] ± STD, [TBBPA] ± STD,

ng/g dw ng/g dw

Ro

un

d II

Mackerel Goro (IT) nd nd

Mackerel, cooked Goro (IT) nd nd

Farmed seabrem Greece 151.3 ± 1.9 nd

Farmed seabrem,

cooked Greece 21.6 ± 1.2 nd

Drip Loss - 513.3 ± 51.1 nd

Mackerel North Sea (DK) nd 200.7 ± 1.5

Atlantic cod North Sea (DK) nd nd

Farmed salmon Norway nd nd

Mussels Limfiord (DK) nd nd

Canned sardine Portugal nd nd

Small monkfish Atlantic coust (PT) 31.7 ± 2.6 nd

Small monkfish,

cooked Atlantic coust (PT) nd nd

Large monkfish Portugal 22.9 ± 2.0 nd

Large monkfish,

cooked Portugal nd nd

Canned tuna Portugal 21.6 ± 4.5 nd

Canned mackerel Portugal 41.9 ± 19.7 nd

Mackerel North Sea (DK) nd nd

Brown crab Noth Sea (DK) nd nd

Brown crab, steamed North Sea (DK) nd nd

Imported tuna small - 143.0 ± 12.9 nd

Imported tuna large - nd nd

Shrimp vannamei India nd nd

Shrimp vannamei India nd nd

Mackerel Mediterranean Sea nd nd

Mackerel, cooked Mediterranean Sea nd nd

MDL 0.30 0.30

MQL 1.00 1.00

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Chapter III Results and Discussion

79

Mean results and corresponding STD are detailed in Tables 13 and 14 for seafood

samples from Round I and Round II, respectively.

In Round I, only three of the twenty one analysed species (about 14%) showed the

presence of BPA with levels ranging from 83.8 to 724.7 ng/g dw. Canned tuna sample was

the only sample presenting both BPA (83.8 ng/g dw) and TBBPA (52.8 ng/g dw) levels

detected above the MQL (also 1.00 ng/g for TBBPA). The other two species positive for

BPA were small monkfish and canned mackerel.

The values of BPA found are in accordance with Geens et al. that found 163.3 ng/g ww

BPA in canned tuna in oil (Geens et al., 2010). However, slightly lower values were obtained

by Noonan et al. and Cunha et al. with levels of 4.5 ng/g ww in tuna in oil and 21.2 ng/g ww

in tuna conserved in vegetable oil, respectively.

TBBPA was present in 19% of samples of Round I: farmed pangasius from Vietnam

(144.2 ng/g dw), mackerel from the North Sea (107.6 ng/g dw), canned tuna (52.6 ng/g dw),

and farmed shrimp from India (84.2 ng/g dw). The levels found are similar to those report in

literature for species of fish collect in different countries (EFSA, 2011), with content ranging

from 0.005 to 13.7 ng/g ww of TBBPA.

The presence of TBBPA was not expected in the farmed species due the controlled

environment of their growth that should prevent contamination of waters in which habitat for

products resulting from the pollution of rivers, seas and oceans.

In Round II, BPA was detected in more samples (32%) than in Round I, the levels

ranging from 21.6 to 513.3 ng/g dw. The canned tuna sample from Portugal is one more

time BPA+, although presented a lower level than the sample analysed in Round I (83.8 ng

dw of BPA per g of canned tuna was detected in Round I and 21.6 ng dw of BPA per g of

canned tuna in Round II). This last concentration has better accordance with the levels

reported in previous studies cited above (Geens et al., 2010; Noonan et al., 2011; Cunha

et al., 2012). In addition to these canned samples, where the presence of BPA is expected

since this ED is present in the epoxy resin coating the metal can and can migrate to its

content, BPA is also found in the imported tuna small sample (143.3 ng/g dw). In this round,

BPA was found in canned mackerel samples again from Atlantic coust (collected in

Portugal) with 41.9 ng/g dw despite no traces were detected in Round I (Table 13). In the

study of Cunha et al. (2012), mackerel conserved in different sauces was analysed (Table

2) and variable levels were reported ranging from 9.9 to 40.4 ng/g ww BPA of canned

mackerel in vegetable oil and in tomato oil, respectively.

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Chapter III Results and Discussion

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Additionally to the first round, in this trial some of the species were analised in the raw

form and also cooked/steamed in the case of mackerel from Goro, farmed seabream from

Greece, small monkfish from Atlantic cost, large monkfish from Atlantic cost, brown crab

from North Sea and mackerel from Mediterranean Sea. In all these samples, BPA levels

decreased with the thermal treatment. Once again it was detected BPA in a farmed seafood

sample, which was not expected for the reasons explained above. In both small and large

monkfish samples an annulation of the detection of BPA was observed when the samples

were cooked, from 31.7 ng/g dw in small monkfish and 22.9 ng/g dw in large monkfish to

not detected in both cooked samples.

When observing the results for TBBPA detection, mackerel from the North Sea

(collected in Denmark) was the only positive sample in twenty five seafood samples

analysed with 200.7 ng of TBBPA per g dw of mackerel detected. This value is comparable

to the one obtained from Morris et al. (2004) which detected a mean level of 209.05 ng/g

dw TBBPA in harbor porpoise samples. Also in whiting samples, the TBBPA levels reached

a maximum of 245.00 ng/g dw TBBPA. Both these fishes were collected from the North

Sea, as well as samples positive TBBPA sample in this work. However, other seafood from

the same local, as the Atlantic cod, another mackerel and brown crab, did not presented

any trace levels of this BFR. To the best of our knowledge, no more data concerning such

higher amounts of TBBPA in seafood were reported in the literature reaching the other

values found in the order of the decimals (from 0.04 to 0.98 ng/g ww TBBPA), units (from

1.00 to 8.48 ng/g ww TBBPA) or a few tens of ng/g TBBPA (from 13.0 to 66.0 ng/g ww

TBBPA) (EFSA, 2011).

It does not appear to be a continuous profile from the Round I to the Round II. Between

these two different moments of samples collection, there is a great variability of BPA and

TBBPA levels found between different species and even in samples from the same species

fact that is totally acceptable since the season of the year can affect the level of

contaminants in seafood.

Despite the developed method presented low MDL and MQL values, an optimization

of the extraction methodology in order to obtain cleaner and fatty free samples to inject

(namely with fat separation) would improve the LC-MS/MS response.

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Chapter III Results and Discussion

81

3. BPA and TBBPA determination in MUSSELS

3.1. Validation

3.1.1. Linearity

When analyzing the appearance of the mussel samples and observing the difficulty in

the extraction methodology already validated, it was necessary to make a new validation of

the method developed. The linearity study was performed by analysing the determination

coefficient of the calibration curves obtained by injection of an extract of mussel sample

from the Round II, which was applied to all mussels samples from Round I and II.

The levels of BPA and TBBPA were quantified using I.S. calibration. Each set of

samples was analyzed with mixed calibration standards 0.00, 10.0, 40.0, 100, 150, 200,

400 and 600 ng/g dw of BPA and 0.00, 5.00, 40.0, 100, 150, 200, 400 and 600 ng/g dw of

TBBPA. Each calibration standard was fortified with BPAd16 and TBBPA13C12 at 40.0 ng/g

dw, added to 2.00 g of selected BPA free and TBBPA free samples prior to the extraction

methodology described before in duplicate and finally subjected to LC-MS/MS.

The calibration standards were analyzed before and after each set of validation

samples and the results used to construct the calibration curve. Calibration curves were

constructed by plotting the analyte/I.S. ratio obtained against the concentration of each

analyte. The results obtained demonstrated a good linearity within the tested interval, with

coefficients of determination (R2) always higher than 0.98 for the two analytes in studied

(Table 15).

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Chapter III Results and Discussion

82

Table 15 - Calibration curves equations obtained from the analysis of mussels sample fortified with BPA and

TBBPA at crescent concentrations and respective coefficient of determination (R2). I.S. at 40 ng/mL.

3.1.2. Recovery

The recovery was determined by comparing the analytical response of the analytes in

samples spiked before and after the extraction step, for two concentration levels (40.0 and

100 ng/g BPA or TBBPA), being each level performed six times. The mean recovery values

present higher recovery of TBBPA compared to BPA, ranging from 57 to 78% in the

determination of BPA and from 73 to 86% for TBBPA, both in mussels samples (Table 16).

Table 16 - Recovery (%) of BPA and TBBPA and respective STD after extractive procedure in mussel samples (n=6).

Recovery (%) ± STD Mussels (Round II)

BPA TBBPA

Concentration (ng/g)

40.0 78 ± 18 86 ± 7

100 57 ± 15 73 ± 13

These results are similar to the ones obtained from seafood samples other than

mussels, which was “surprising” since the mussels’ matrix fatter and more complex than the

seafoods matrix and lower recoveries were expected.

Equation Coefficient of determination

(R2)

Mussel Round II

BPA

TBBPA

y = 0.0054x + 0.211

y = 0.0139x + 0.365

0.9876

0.9930

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Chapter III Results and Discussion

83

3.1.3. MDL and MQL

MQL in mussels was higher to those obtained for fish (Table 17) for both BPA and

TBBPA, with 10.0 ng/g dw (2.15 ng/g ww) and 5.00 ng/g (1.08 ng/g ww), respectively.

Similar behaviour was observed for MDL with 3.03 ng/g dw (0.65 ng/g ww) for BPA and

1.52 ng/g dw (0.33 ng/g ww) for TBBPA.

Table 17 - MDL and MQL (ng/g dw) for both BPA and TBBPA determined in mussel samples.

MDL (ng/g dw)

MQL (ng/g dw)

BPA 3.03 10.0

TBBPA 1.52 5.0

When comparing to MDL and MQL values obtained with the data from literature, it is

possible to conclude that the values achieved with the method employed in this work are

slight higher. Cunha et al. (2012) reports a MDL of 0.2 ng/g ww and a MQL of 1.0 ng/g ww

in their work assessing BPA and BPB levels in canned seafood. Although the sample

preparation was quite similar to the one of this work, the detection and quantification

equipment was different (GC-MS) (Cunha et al., 2012).

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Chapter III Results and Discussion

84

3.2. Levels of BPA and TBBPA in Mussels

Table 18 - BPA and TBBPA levels (ng/g dw) found in mussel samples from Rounds I and II (n=2).nd=not

detected

Species Sampling site

[BPA] ± STD, ng/g dw

[TBBPA] ± STD, ng/g dw

Ro

un

d I

Mussel Goro (IT) nd nd

Mussels Limfiord (DK) nd nd

French mussel Channel (FR) nd nd

Mussel Inshot nd nd

Mussel Mediterranean sea nd 18.66

Ro

un

d II

Mussel Channel (FR) nd nd

Mussel, cooked Channel (FR) nd nd

Blue mussel Limfiord (DK) 60.4 nd

Mussels, Atlantic cost (ES) nd nd

Mussel, cooked Atlantic cost (ES) nd nd

Mussel Goro (IT) nd nd

Mussel, cooked Goro (IT) nd nd

Mussel Inshot (DK) nd nd

Mussel, steamed Inshot (DK) nd nd

MDL

3.03 1.52

MQL

10.0 5.00

After validation, five samples of mussels collected in the first round and nine from the

second round were analysed for the determination of the presence and quantification of

BPA and TBBPA (Table 18).

In Round I, only the mussel sample from the Mediterranean Sea was positive for

TBBPA with 60.4 ng/g dw (12.99 ng/g ww). The EFSA report in 2011 reports two smaller

TBBPA determinations in mussels: < 0.6 ng/g ww in mussels from North Sea (Van

Leeuwen, 2009) and < 0.26 ng/g ww in mussels from North Europe (Papke et al., 2010).

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Chapter III Results and Discussion

85

In Round II, as well as for seafood, some mussel samples were also analysed in the

raw and cooked form. In this second trial, only the blue mussels from Limfiord (Denmark)

presented BPA levels although in a low extent: 18.66 ng/g dw (4.01 ng/g ww). Cunha et al.

(2012), in addition to the canned seafood, also determined the migration of BPA from the

can to its content in canned mussels samples, founding once again high variable values for

conservation in different sauces: 1.4 ng/g ww BPA in mussels conserved in pickled sauce

and 49.2 ng/g ww BPA in mussels conserved in escabeche sauce. None of these two data

can be compared to the results obtained in this work, since all mussel samples were

collected and analysed in fresh (raw or cooked) but no conservation in cans was employed.

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4. BPA and TBBPA determination in SEAWEEDS

4.1. Validation

4.1.1. Linearity

The seaweed matrix is similar to the seafood, since these two members of the aquatic

family are rich in fatty tissues. However, is important to make a new validation for the

extraction method in this matrix. The linearity study was performed by analysing the

determination coefficient of the calibration curves obtained by injection of spiked extracts of

seaweed free of both BPA and TBBPA. This could be a control sample, but in the absence

of sufficient quantity of seaweed to obtain 8 or 10 points for the calibration curve, it has been

decided to analysed a sample collected after 360 hours in culture in a 10.0 ng/mL selected

since it did not present neither BPA nor TBBPA traces when analyzed prior to validation

tests.

The levels of BPA and TBBPA were quantified using I.S. calibration. Each set of

samples was analyzed with mixed calibration with 0.00, 10.0, 15.0, 20.0, 40.0 and 100 ng/g

dw of BPA and 0.00, 5.00, 10.0, 15.0, 20.0, 40.0 and 100 ng/g dw of TBBPA. Each

calibration standard was fortified with BPB and TBBPA13C12 at 80 ng/g, added to 2.00 g of

selected BPA free and TBBPA free samples prior to the extraction methodology described

before in duplicate and finally subjected to LC-MS/MS. BPB was used as an I.S. for

seaweeds instead of BPAd16 since this I.S. could not be detected in the LC-MS/MS probably

because it could not be extracted from the seaweeds matrix with the developed method.

The calibration standards were analyzed before and after each set of validation

samples and the results used to construct the calibration curve. Calibration curves were

constructed by plotting the analyte/I.S. ratio obtained against the concentration of each

analyte. The results obtained demonstrated a good linearity within the tested interval, with

determination coefficients (R2) always higher than 0.99 in the two chemicals studied (Table

19).

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Chapter III Results and Discussion

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Table 19 - Calibration curves equations obtained from the analysis of seaweed sample fortified with BPA and

TBBPA at crescent concentrations and respective coefficient of determination (R2). I.S. at 80 ng/mL.

4.1.2. Recovery

The recovery was determined by comparing the analytical response of the analytes in

spiked seaweed samples before and after the extraction step, for two concentration levels

(40.0 and 100 ng/g BPA or TBBPA), being each level performed six times. The mean

recovery values ranged from 49 to 66% in the determination of BPA and from 60 to 61% for

TBBPA, both in seaweed samples (Table 20).

Table 20 - Recovery (%) of BPA and TBBPA after extractive procedure in seaweed samples.

Recovery (%) Seaweed

BPA TBBPA

Concentration (ng/g)

40.0 66 ± 6 61 ± 24

100 49 ± 6 60 ± 8

Differently from the results obtained in the seafood and mussels samples, where the

higher recovery was achieved for TBBPA, in the seaweed samples both analytes have

similar recoveries and smaller than those achieved for the two matrices analyzed before.

Equation Coefficient of determination

(R2)

Seaweed after 360h

BPA

TBBPA

y = 0.0147x + 0.0121

y = 0.0139x + 0.046

0.9923

0.9947

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Chapter III Results and Discussion

88

4.1.3. MDL and MQL

For BPA and TBBPA, the MQL is 10.0 ng/g dw (3.25 ng/g ww) and 5.00 ng/g dw (1.62

ng/g ww) respectively. The obtained values showed that the MDL is 3.03 ng/g dw (0.98 ng/g

ww) for BPA determination and 1.51 ng/g dw (0.49 ng/g ww) for TBBPA.

Table 21 - MDL and MQL (ng/g dw) for both BPA and TBBPA determined in seaweed samples, 360h after

addition of a solution of 10.0 ng/mL BPA and TBBPA.

As this matrix is fatty as like the mussels samples, was expected that the MDL and

MQL achieved in this case were similar than the ones obtained for mussels.

MDL (ng/g dw)

MQL (ng/g dw)

BPA 3.03 10.0

TBBPA 1.52 5.00

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Chapter III Results and Discussion

89

4.2. Levels of BPA and TBBPA in Seaweed

Table 22 - BPA and TBBPA levels (ng/g dw) found in seaweed samples with different spiking and collected at

different times (n=2) from the 10 ng/mL BPA and TBBPA concentrated media. nd=not detected

Seaweed (n=1) Spiking

concentration (µg/L) Sampling time

(hours)

Levels ng/g dw

TBBA BPA

Saccharina latissima

0 (control I)

0 nd nd

12 nd nd

24 nd nd

48 nd nd

120 nd nd

240 nd nd

360 nd nd

1

0 nd nd

12 nd nd

24 nd nd

48 nd nd

120 nd nd

240 nd nd

360 nd nd

10

0 nd nd

12 nd nd

24 nd nd

48 nd nd

120 nd nd

240 nd nd

360 nd nd

Laminaria digitata

0 nd nd

12 nd nd

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Chapter III Results and Discussion

90

24 nd nd

48 nd nd

120 nd nd

240 nd nd

360 nd nd

1

0 nd nd

12 nd nd

24 nd nd

48 nd nd

120 nd nd

240 nd nd

360 nd nd

10

0 nd nd

12 nd nd

24 nd nd

48 nd nd

120 nd nd

240 nd nd

360 nd nd

MDL 3.03 1.52

MQL 10.0 5.00

As reported in Table 22 neither BPA nor TBBPA were found in both seaweed species

tested (Saccharina latissima and Laminaria digitata) during all the experiment. The

seaweeds grew well on the medium with two concentrations of contaminants, but no

demonstrate capacity to bioaccumulate persistent organic pollutants from marine habitats.

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Chapter III Results and Discussion

91

In a previous study, was found that brown seaweed macroalgae, Laminaria japonica,

could remove PAHs from medium (Wang and Zhao, 2008). Phycoremediation of TBBPA or

BPA by macroalgae, however, was as far as we know not reported.

The phycoremediation of BPA has been successful reported by Hirooka et al. (2005)

using the Chloerella Fusca. This microalgae could remove 90% of 40 µM BPA under 8:16

h light dark condition (Hirooka et al., 2005). Biotransformation of TBBPA was recently

verified by Peng et al. (2014) using Scenedesmus quadricauda and Coelastrum sphaericum

following 10 day incubation. Five transformation products were positively identified by mass

spectrometry: TBBPA sulfate, TBBPA glucoside, sulfated TBBPA glucoside, TBBPA

monomethyl ether, and tribromobisphenol-A. The mechanisms involved in the

biotransformation of TBBPA include sulfation, glucosylation,O-methylation, and

debromination, which could be an important step for its further degradation (Peng et al.,

2014).

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IV. Conclusions

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Conclusions Chapter IV

93

This dissertation intended to develop an effective method for the simultaneous

determination of BPA and TBBPA in seafood, mussels, and seaweeds, as part of the

European Project ECsafeSEAFOOD. The samples were collected in different rivers,

seas or aquaculture spots along the European region at different times of the year.

After optimization of the chromatographic conditions to LC-MS/MS detection, an

optimization of the sample preparation was accomplished in order to achieve the high

sensitivity. Thus, three procedures published in literature were primarily compared for

recovery. The selected method based on a QuEChERS extraction followed by a LLE

extraction showed the best recoveries results for the analytes in study.

In order to certify its sensibility and accuracy, the analytical method developed was

validated, demonstrating to be robust and appropriate for the intended analysis. The

selected method performance was validated for the three matrices under study given its

great diversity in terms of composition. The optimized method showed to be accurate

(>49% recovery), precise (<26 % relative standard deviation) and sensitive for the target

analytes (higher MDLs found of 3.03 ng/g dw for BPA and 1.51 ng/g dw for TBBPA).

Between the three matrices, the method showed to be less accurate for seaweeds and

the higher detection and quantification limits were found for mussels. Then, this method

should be upgraded in futures experiments for these two matrices.

When applying the method for BPA and TBBPA determination in seafood and

mussels samples collected in different regions of Europe at different times of the year, it

is possible to conclude that there is not a continuous profile. For the same sample

collected in the same region but in different times of the year, the BPA levels detected

are quite variable (for example, canned mackerel from Portugal with 41.9 ng/g dw BPA

in Round I and 150.8 ng/g dw in Round II). The higher value observed was 724.7 ng/g

dw BPA in monkfish small from Round I, another variable value for Round II (31.7 ng/g

dw BPA). In case of TBBPA, the higher value obtained was 200.7 ng/g dw in mackerel

from North Sea in Round II, while in Round I was not detected any trace of this BFR on

the same specie caught in the same spot.

In mussels, only two samples revealed the presence of one of these contaminants:

the blue mussel from Limfiord with 60.4 ng/g dw BPA and the Mediterranean mussel with

18.66 ng/g dw TBBPA.

For both seaweed species tested (Saccharina latissima and Laminaria digitata)

neither BPA nor TBBPA were found in during all the experiment. The seaweeds were

cultivated on the medium with two concentration of contaminants (1.0 and 10.0 ng/mL),

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Conclusions Chapter IV

94

but did not demonstrated capacity to bioaccumulate these two persistent organic

pollutants from marine habitats.

In consideration to the actual apprehensions about these two EDs, the amounts

found in seafood and mussels samples are generally low and within the regulated and

safety limits. However contamination of the environment should not be ignored since

there are researchers who consider that these chemical are malignant even in small

quantities. The absence of the both EDs in the seaweeds subjected to study may indicate

that these contaminants are not absorbed and metabolized by these two macroalgae but

the lack of other studies do not allow more confident conclusions.

These findings should be a starting point for future studies. More studies should be

developed concerning these contaminants in foodstuff contaminated. For more

consistent and sustained conclusions, it would be important to:

- Develop better extraction techniques, especially for fat removal prior to analysis

(removal of triglycerides, for instance) should be advanced in order to have

better precision and recovery;

- Evaluate BPA and TBBPA regarding other parameters besides local of origin

and time of the year, as the fat and protein content which can affect these

contaminants determination;

- Apply this method more optimized for simultaneous detection of BPA ad TBBPA

in commercial foodstuff, other than seafood, as a technique for Quality Control.

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V. References

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