1
Elimination of emergingcontaminants (surfactants,
pharmaceuticals) by membranebioreactor (MBR) technology
Catalan Institution for Research and Advanced Studies, Barcelona, Spain
IIQAB-CSIC, Department of Environmental Chemistry, Barcelona, Spain
Mira Petrovic, Jelena Radjenovic, Damia Barcelo
Outline• Introduction on MBR
– types of membranes– types of bioreactors– advantages and disadvanteges
• Case study (I)– elimination of pharmacueticals in a laboratory scale MBR (vs CAS)
• Case study (II)– elimination of pharmacueticals in a pilot scale MBR (vs CAS)
• Case study (III) – elimination of surfactants in a laboratory scale MBR (vs CAS)
• Conclusions
2
Membrane bioreactors (MBRs) combine the use of biological processes andmembrane technology to treat wastewater.
Within one process unit, a high standard of treatment is achieved, replacing theconventional arrangement of aeration tank, settling tank and filtration that generally produces what is termed as a tertiary standard effluent.
Membrane bioreactors (MBRs)
MF/UFmembrane
permeate
Permeate tank
Areation
Denitrification
BIOREACTOR
Why MBR?
Technical aspects
• adsorption, improved physical sludge characteristics, with higher biomass concentration and more effective surface;
• biodegradation, cultivation of metabolic speciation, with high sludge age, low mass organic load favouring biological synthesis of broader substrate spectrum
• direct and complete separation through membrane with entire removal of all contaminants bound to colloids and particulate matter.
3
Submerged MBR
Submerged MBR with internal vacuum driven membrane filtration
External MBR
Side-stream MBR with external pressure driven membrane filtration
4
The configurations of MBR are based on either a planar or cylindrical geometry.
There are five principal membrane configurations currently employed in practice:
hollow fiber (HF)
spiral wound
plate-and-frame (i.e. flat sheet (FS))
pleated filter cartridge
tubular.
Types of MBR configurations
MicrofiltrationUltrafiltration
The pore size of themembrane is 0,4 µm (microfiltration)
A layer of proteins andcellular material in themembrane surface changethe porosity into ≃ 0,01 µm: Range of filtration change into ULTRAFILTRATION
The disinfection depends on the membrane pore size, MICROFILTRATION (elimination of bacteria and pathological organisms) ULTRAFILTRATION (total disinfection including virus elimination).
5
Types of membranes
Spiral wound membrane for NF/RO
Hollow fibre
for MF/UF
Send filtrationSend filtrationaa
MicrofiltrationMicrofiltration
UUltrafiltrationltrafiltration
NNanofiltrationanofiltration
RReverse Osmosiseverse Osmosis
0.0001 0.001 0.01 0.1 1 10 100µm
Plate & frame membrane
Membrane for nanofiltration
(NF) and reverse
osmosys (RO)
MEMBRANE PROCESSES
Configurations most frequently used in wastewater treatment are hollow fiber (HF) and flat sheet (FS) MBR
Hollow fiber membranes
Flat sheet membranes
6
ImmersibleOutside-In Membrane
Advantages of MBR• Sludge production is significantly reduced, compared to conventional CAS, as
longer sludge ages are achievable• Effluent quality is consistently high and generally independent of the influent
quality.• Good disinfection capability, with significant bacterial and viral reductions
achievable using UF and MF membranes.• Longer retention of nitrifying bacteria within the bioreactor results in greater
nitrification than in a conventional CAS. • Denitrification can be achieved by utilizing a second anoxic vessel.• Sludge age and hydraulic retention time are independent• Growing of specialized microorganisms
Disadvantages of MBR• Higher energy consumption (bigger oxygen consume)• Higher cost (membranes and maintenance) (the cost of MBR drop from 2001 to
2004 and is estimated to be from 0.8 $ m-3 to 0.5 $ m-3)• Higher initial investment
7
Case study (1): elimination of pharmaceuticals in wastewater treatment plant (WWTP) Rubí,
Spain
- full scale CAS treatment,- laboratory scale MBR treatment
Influent type: municipal/hospital/industrial wastewater Equivalent inhabitants: 125 550Average daily flow: 1 125 m3/hMaximum daily flow: 1 800 m3/hHydraulic retention time: 14 hSolids retention time: 3 days
Treatment:1. Preliminary treatment (large solids
are removed)2. Primary treatment (physical process
of settling removes more solids)3. Secondary treatment (removes the
demand for oxygen using microbial action) consisting in pre-denitrification (anaerobic) and nitrification (aerobic)
Wastewater treatment plant (WWTP) Rubí
J. Radjenovic et al. Anal. Bioanal. Chem. 387 (4), pp 1365-1377
8
Volume: 2020--22 l22 lHydraulic retention time (HRT): 14 hSolids retention time (SRT): infinite.Nominal porosity: 0.4 µm (MF)Effective porosity: in the range of UFKubota flat sheet membranes (chlorinatedpoliethilen): 2 A4 embranes (A=0.3 m²), maximum capacity ~ 6 l/h.
Laboratory-scale membrane bioreactor (MBR) was operating in parallel to a conventional activated sludge (CAS) treatment. Their performance was monitored during a period of approximately two months, during which 28 integrated samples were analyzed.
Laboratory scale submerged plate-and-frame MBR
J. Radjenovic et al. Anal. Bioanal. Chem. 387 (4), pp 1365-1377
COMPARATION OF BASIC PARAMETERS
6-92535125Legislation
7.2717.8 (± 39.6)24 (± 37.4)80.7 (± 30.3)CAS
7.438.3 (± 42.4)7.1 (± 74.85)42.7 (± 23.3)MBR
pHNH4
+
(mg/l) (C.V.%)
TSS(mg/l)
(C.V.%)
COD, (mg/l)
(C.V.%)Effluent
9
MBR (72.2 ± 11.7 %)CAS WWTP (58.90 ± 23.8 %)
0
20
40
60
80
100
120
marzo abril mayo junio julio agosto
> 80 %El
imin
ació
n C
OD
(%)
COD
ANTI-HISTAMINICS
LIPID REGULATOR AND CHOLESTEROL LOWERING STATIN DRUGS
HYPOGLYCAEMIC AGENTS
DIURETICS
B-BLOCKERS
ANTIBIOTICS
ANTIEPILEPTIC DRUGS
PSYCHIATRIC DRUGS
ANTI-ULCER AGENTS
ANALGESICS AND ANTI-INFLAMMATORY DRUGS
FamotidineRanitidineLoratidine
Clofibric acidGemfibrozilBezafibratePravastatinMevastatin
Glibenclamide
Hydrochlorothiazide
AtenololSotalolMetoprololPropranolol
ErythromycinAzythromycinSulfamethoxazoleTrimethoprimOfloxacin
Carbamazepine
FlouxetineParoxetine
Lansoprazole
Ibuprofen IndomethacineKetoprofen AcetaminophenNaproxen Mefenamic acidDiclofenac Propyphenazone
To relieve allergy reactions
To lower fat (lipids) level
To treat type II diabetes
To treat excessive fluid accumulation
Antianginal antihypertensive
Antibacterial agents
To treat epileptic attacks
Antidepressants
To prevent and treat ulcers
To relief pain, inflammation and fever
Target compounds monitored
10
Compounds that were found in highest influent Compounds that were found in highest influent concentrations (µg/L) were:concentrations (µg/L) were:
analgesics and antianalgesics and anti--inflammatory drugs: ibuprofen, ketoprofen, inflammatory drugs: ibuprofen, ketoprofen, naproxen, diclofenac, indomethacin, acetaminophennaproxen, diclofenac, indomethacin, acetaminophen
lipid regulator and cholesterol lowering statin drugs: gemfiblipid regulator and cholesterol lowering statin drugs: gemfibrozil, bezafibrate rozil, bezafibrate
diuretics: hydrochlorothiazide diuretics: hydrochlorothiazide
Out of 31 pharmaceutical products included in the analytical method, 22 were detected in the wastewater entering WWTP Rubí.
J. Radjenovic et al. Anal. Bioanal. Chem. 387 (4), pp 1365-1377
In some cases the removal efficiencies were very similar and hIn some cases the removal efficiencies were very similar and high for both igh for both treatments (e.g. ibuprofen, naproxen, acetaminophen, hydroctreatments (e.g. ibuprofen, naproxen, acetaminophen, hydrochlorothiazide, hlorothiazide, paroxetine). paroxetine).
Elimination of acetaminophen Elimination of hydrochlorothiazide
J. Radjenovic et al. Anal. Bioanal. Chem. 387 (4), pp 1365-1377
11
ELIMINATION OF PAROXETINE
0
20
40
60
80
100
120
April,2
5.
May,03
.
May,09
.
May,23
.
May,30
.
June
,06.
July,0
5.
July,1
2.
July,2
5.
Augus
t,09.
sampling days, 2006.
%
ELIMINATION IN MBRELIMINATION IN CAS
ELIMINATION OF GLIBENCLAMIDE
0102030405060708090
April,2
5.
May,03
.
May,09
.
May,23
.
May,30
.
June
,06.
July,0
5.
July,1
2.
July,2
5.
Augus
t,09.
sampling days, 2006.
%
ELIMINATION IN MBRELIMINATION IN CAS
ELIMINATION OF NAPROXEN
0
20
40
60
80
100
120
April,2
5.
May,03
.
May,09
.
May,23
.
May,30
.
June,0
6.
July,0
5.
July,1
2.
July,2
5.
Augus
t,09.
sampling days, 2006.
%
ELIMINATION IN MBRELIMINATION IN CAS
ELIMINATION OF IBUPROFEN
0
20
40
60
80
100
120
April,2
5.
May,03
.
May,09
.
May,23
.
May,30
.
June,0
6.
July,0
5.
July,1
2.
July,2
5.
Augus
t,09.
sampling days, 2006.
%
ELIMINATION IN MBRELIMINATION IN CAS
12
For most of the investigated compounds MBR treatment For most of the investigated compounds MBR treatment had better performance (removal rates>80%) and steadier had better performance (removal rates>80%) and steadier effluent concentrations than the conventional system (e.g. effluent concentrations than the conventional system (e.g. diclofenac, ketoprofen, gemfibrozil, bezafibrate, ranitidine, diclofenac, ketoprofen, gemfibrozil, bezafibrate, ranitidine, pravastatin, ofloxacin). pravastatin, ofloxacin).
J. Radjenovic et al. Anal. Bioanal. Chem. 387 (4), pp 1365-1377
Outlier
1.5 interquartile range
75% samples
Median
25% samples
1.5 interquartile range
ELIMINATION OF DICLOFENAC
0.0
20.0
40.0
60.0
80.0
100.0
120.0
April,2
5.
May,03
.
May,09
.
May,23
.
May,30
.
June,0
6.
July,0
5.
July,1
2.
July,2
5.
Augus
t,09.
sampling days, 2006.
%
ELIMINATION IN MBRELIMINATION IN CAS
ELIMINATION OF OFLOXACIN
0
20
40
60
80
100
120
April,2
5.
May,03
.
May,09
.
May,23
.
May,30
.
June,0
6.
July,0
5.
July,1
2.
July,2
5.
Augus
t,09.
sampling days, 2006.
%
ELIMINATION IN MBRELIMINATION IN CAS
13
The antiepileptic drug carbamazepine turned out to be the mosThe antiepileptic drug carbamazepine turned out to be the most persistentt persistentpharmaceutical as it passed both through MBR and CAS systempharmaceutical as it passed both through MBR and CAS systemuntransformed. untransformed.
Elimination of carbamazepine
J. Radjenovic et al. Anal. Bioanal. Chem. 387 (4), pp 1365-1377
Elimination of atenolol
Compound Elimination in Elimination inMBR, %a CAS,%b
Analgesics and anti-inflammatory drugs Naproxen 99.3 (1.52) * 85.1 (11.4)Ketoprofen 91.9 (6.55) 51.5 (22.9)Ibuprofen 99.8 (0.386) 82.5 (15.8)Diclofenac 87.4 (14.1) 50.1 (20.1)Indomethacin 46.6 (23.2) 23.4 (22.3)Acetaminophen 99.6 (0.299) 98.4 (1.72)Mefenamic acid 74.8 (20.1) 29.4 (32.3)Propyphenazone 64.6 (13.3) 42.7 (19.0)Anti-ulcer agentsRanitidine 95.0 (3.74) 42.2 (47.0)Psychiatric drugsParoxetine 89.7 (6.69) 90.6 (4.74)Antiepileptic drugsCarbamazepine no elimination** no eliminationAntibioticsOfloxacin 94.0 (6.51) 23.8 (23.5)Sulfamethoxazole 60.5 (33.9) 55.6 (35.4)Erythromycin 67.3 (16.1) 23.8 (29.2)Β-blockersAtenolol 65.5 (36.2) no eliminationMetoprolol 58.7 (72.8) no eliminationDiureticsHydrochlorothiazide 66.3 (7.79) 76.3 (6.85)Hypoglycemic agentsGlibenclamide 47.3 (20.1) 44.5 (19.1)Lipid regulator and cholesterol lowering statin drugsGemfibrozil 89.6 (23.3) 38.8 (16.9)Bezafibrate 95.8 (8.66) 48.4 (33.8)Clofibric acid 71.8 (30.9) 27.7 (46.9)Pravastatin 90.8 (13.2) 61.8 (23.6)
*values are presented as average with relative standard deviation (%) in brackets, for aN=10 and bN=8 samples.**as “no elimination” were considered all cases with elimination efficiency less than 10%.
J. Radjenovic et al. Anal. Bioanal. Chem. 387 (4), pp 1365-1377
14
1-naproxen, 2-ketoprofen, 3-ibuprofen, 4-diclofenac, 5-indomethacin, 6-acetaminophen, 7-mefenamic acid, 8-propyphenazone, 9-ranitidine, 10- paroxetine, 11-carbamazepine, 12- ofloxacin, 13- sulfamethoxazole, 14- erythromycin, 15- atenolol, 16- metoprolol,17- hydrochlorothiazide, 18- glibenclamide, 19- gemfibrozil, 20- bezafibrate, 21- clofibric acid,22- pravastatin
0
20
40
60
80
100
0 20 40 60 80 100
10
30
50
70
90
CAS elimination, %
MB
R e
limin
atio
n, %
101
2
3
4
5
6
7
8
9
11
12
13
1415
16
17
18
19
20
21
22
10-60% >60%<10%
Comparison of CAS and MBR performances – elimination of pharmaceutical residues
Case study (2): elimination of pharmaceuticals in wastewater
treatment plant (WWTP) Terrassa, Spain
- full scale CAS treatment,- two pilot scale MBR treatments
15
Influent type: industrial (mostly pharmaceutical and textile industry)/ municipal wastewaterEquivalent inhabitants: 277 000Average daily flow: 2 000 m3/hMaximum daily flow: 2 500 m3/hHydraulic retention time: 11.5 hSolids retention time: 12 daysTreatment:
1. Preliminary treatment2. Primary treatment3. Secondary treatment (pre-denitrification
and nitrification).
Wastewater treatment plant (WWTP) Terrassa
Two pilot-scale membrane bioreactors are operating in parallel to a conventional activated sludge proces.
3.64.69Volume (m3 )
infiniteinfiniteSRT
7.210-20HRT (h)
1710-20Flow (L m-2 h-1)
0.05 (UF)0.4 (MF)Nominal porosity(µm)
3040Membranesurface active area (m2 )
Hollow fibrePlate-and-frameMembrane type
Externalmembranemodule
Externalmembranemodule
Configuration
KOCHKUBOTAMBR
Pilot scale MBRs with external membrane module:plate-and-frame vs. hollow-fibre membranes
16
NPRX: Naproxen, Influent conc. range= 3.9-5 µg/ L.IBP: Ibuprofen, Influent conc. range= 51-57 µg/ L.ACTP: Acetaminophen, Influent conc. range= 35-36 µg/ L.CAF: Caffeine, Influent conc. range= 3.5-5.9 µg/ L.SMX: Sulfamethoxazole, Influent conc. range= 1.4-1.6 µg/ L.
Elimination of target compounds in CAS and two pilot-plant MBRs in WWTP Terrassa
Pharmaceuticals with elimination during conventional treatment > 80%
0
20
40
60
80
100
120
NPRX IBP ACTP CAF SMXCompound
Elim
inat
ion,
%
Elimination in CAS
Elimination in KOCH MBR
Elimination in KUBOTA MBR
Pharmaceuticals with elimination during conventional treatment < 80 %
-20
0
20
40
60
80
100
120
ATL OFL INDM HCTZ GLBC
Compound
Elim
inat
ion,
%
Elimination in CAS
Elimination in KOCH MBR
Elimination in KUBOTA MBR
ATL: Atenolol, Influent conc. range=1.2-1.6 µg/ L.OFL: Ofloxacin, Influent conc. range= 2.1-3.0 µg/ L.INDM: Indomethacin, Influent conc. range= 42-98 ng/ L.HCTZ: Hydrochlorothiazide, Influent conc. range= 2.9-5.0 µg/ L.GLBC: Glibenclamide, Influent conc. range= 130-295 ng/ L.
Elimination of target compounds in CAS and two pilot-plant MBRs in WWTP Terrassa
17
Conclusions (I):Several pharmaceuticals (e.g. ibuprofen, naproxen, acetaminophen, ketoprofen, diclofenac, bezafibrate, gemfibrozil, ranitidine, ofloxacin, hydrochlorothiazide and paroxetine) with high attenuation rates can be expected to be completely removed from wastewater during membrane treatments by sorption, degradation or combination of both.
Some substances were not removed neither in MBR nor in CAS process (e.g. carbamazepine).
Performances of two types of MBR configuration, plate-and-frame and hollow fiber, were very similar for most of the pharmaceutical residues detected. Only for indomethacine and glibenclamide significantly higher reduction was noted for KOCH hollow fiber MBR.
Range of variation of removal rates of MBR system was small for most of the compounds, while in the conventional treatment stronger fluctuations were observed and it turned out to be a lot more sensitive to changes in operational parameters (temperature, flow rate, etc).
Further studies on the occurrence and fate of selected compounds in pilot-scale membrane bioreactors will be conducted, which will provide additional information on the behavior of these compounds during advanced membrane wastewater treatments.
Example: Non ionic surfactants
Alkylphenol ethoxylates
OOH
C9H19
n
n=1-20
Nonylphenol ethoxylates(NPEOs)
- Non-ionic surfactantsindustrial formulation (textile, tannery, pulp and paper industries)
- Pesticides adjuvants- Paint ingredients- Wetting agents
• Global production is well over 500.000 tons • Use restricted in many countries• Throughout northern Europe (Scandinavian countries, England, Germany) a
voluntary ban on NPEO use in household cleaning products began in 1995, and restrictions on industrial cleaning applications in 2000
• Spain – use in industrial formulations not restricted
18
Main concern: Poor ultimate biodegradability
Reproductive toxicity of some degradation products
Breakdown pathway of NPEOs
Increasing toxicity
Increasing bioconcentration
Increasing persistence
C9H19 O CH2CH2O H9
C9H19 O CH2CH2O H8
C9H19 O CH2CH2O CH2COOH8
NP2EO
NP8EO
NP9EO
NP2EC
NP9EC
NP1EO
NPNP1EC
C9H19 OH
C9H19 O CH2CH2O H9
C9H19C9H19 O CH2CH2O H9
C9H19 O CH2CH2O H8
C9H19C9H19 O CH2CH2O H8
C9H19 O CH2CH2O CH2COOH8
C9H19C9H19 O CH2CH2O CH2COOH8
NP2EO
NP8EO
NP9EO
NP2EC
NP9EC
NP1EO
NPNP1EC
C9H19 OHC9H19C9H19 OH
Breakdown pathway of NPEOs
Increasing toxicity
Increasing bioconcentration
Increasing persistence
C9H19 O CH2CH2O H9
C9H19 O CH2CH2O H8
C9H19 O CH2CH2O CH2COOH8
NP2EO
NP8EO
NP9EO
NP2EC
NP9EC
NP1EO
NPNP1EC
C9H19 OH
C9H19 O CH2CH2O H9
C9H19C9H19 O CH2CH2O H9
C9H19 O CH2CH2O H8
C9H19C9H19 O CH2CH2O H8
C9H19 O CH2CH2O CH2COOH8
C9H19C9H19 O CH2CH2O CH2COOH8
NP2EO
NP8EO
NP9EO
NP2EC
NP9EC
NP1EO
NPNP1EC
C9H19 OHC9H19C9H19 OH
Increasingpolarity
Breakdown during sewage treatment (AST)(according Ahel, Wat. Res. 1995)Ultimate biodegradation of NPEOs <40%
40-45% ends up in secondary effluent
20 % in sludge
Primary Effluents
68%
20%
5%7%
NPnEONP1EO+NP2EO
NP1EC+NP2ECNP
20%
25%47%
8%
Secondary Effluents Digested Sludge
5%
95%
19
Concentration levels in WWTP effluents
No datalevels of 10-40 µg/LCAPEC
<LOD-825<LOD-33
up to 225*NP
<LOD-651-115
up to 1120*NPEC
10-2400<LOD-60
up to 330*NPEO
Sludge (mg/kg)Secondary effluent (µg/L)Compound
* WWTP receiving industrial WW
Source: Knepper, Barcelo, de Voogt (Eds) Analysis and fate of surfactants in the aquatic environment, Elsevier 2003
The relative estrogenic potency (relative to 17b-estradiol) in-vitro(according Jobling and Sumpter, Aquatic. Toxicol. 1993)NP 9.0 x 10-6OP 3.7 x 10-5NP1EC 6.3 x 10-6NP2EO 6.0 x 10-6NP10EO 2.0 x 10-7
Biologically active concentrations: as low as 1-20 µg/L
Case study (3): elimination of surfactants in wastewater
treatment plant (WWTP) Rubí, Spain
- full scale CAS treatment,- laboratory scale MBR treatment
20
BOXPLOT
outliers
1.5 interq. range
75% samples
Median
25% samples1.5 interq. range
Effluent MBR
NP(3-15)EO
Influent CAS Effluent CAS0
50
100
150
200
250
300
350
400
450
Con
cent
ratio
n(p
pb)
0
50
100
150
200
250
300
350
400
450
Con
cent
ratio
n(p
pb)
NP(3-15)EO
NP(3-15)EO
0.00
50.00
100.00
150.00
200.00
250.00
300.00
350.00
400.00
450.00
500.00
1 2 3 4 5 6 7 11 18 22 23 24 25 26 27 28
time (day of the experiment)
conc
entr
atio
n (µ
g/L)
CAS influentCAS effluentMBR effluent
Long ethoxy chain NPEO
NP1EO
0.00
20.00
40.00
60.00
80.00
100.00
120.00
140.00
160.00
1 2 3 4 5 6 7 11 18 22 23 24 25 26 27 28
time (day of the experiment)
conc
entr
atio
n (µ
g/L)
CAS influentCAS effluentMBR effluent
NP2EO
0.00
20.00
40.00
60.00
80.00
100.00
120.00
140.00
1 2 3 4 5 6 7 11 18 22 23 24 25 26 27 28
time (day of the experiment)
conc
entr
atio
n (µ
g/L)
CAS influentCAS effluentMBR effluent
Effluent MBR0
50
100
Con
cent
ratio
n(p
pb)
NP1EO
Influent CAS Effluent CAS
150 NP1EO
Effluent MBR0
20
40
60
80
100
120
Con
cent
ratio
n(p
pb)
NP2EO
Influent CAS Effluent CAS0
NP2EO
Short ethoxy chain NPEO
21
NP1EC
0.00
5.00
10.00
15.00
20.00
25.00
1 2 3 4 5 6 7 11 18 22 23 24 25 26 27 28
time (day of the experiment)
conc
entr
atio
n (µ
g/L)
CAS influentCAS effluentMBR effluent
NP2EC
0.0020.0040.0060.0080.00
100.00120.00140.00160.00180.00200.00
1 2 3 4 5 6 7 11 18 22 23 24 25 26 27 28
time (day of the experiment)
conc
entr
atio
n (µ
g/L)
CAS influentCAS effluentMBR effluent
Effluent MBR
NP1EC
Influent CAS Effluent CAS Effluent MBR0
5
10
15
20
Con
cent
ratio
n(p
pb)
0
5
10
15
20
Con
cent
ratio
n(p
pb)
NP1EC
Effluent MBR
NP2EC
Influent CAS i Effluent CAS i Effluent MBR
0
20
40
60
80
100
120
140
160
180
Con
cent
ratio
n(p
pb)
0
20
40
60
80
100
120
140
160
180
Con
cent
ratio
n(p
pb)
NP2EC
Nonylphenoxy carboxylates
NP
0.00
10.00
20.00
30.00
40.00
50.00
60.00
70.00
1 2 3 4 5 6 7 11 18 22 23 24 25 26 27 28
time (day of the experiment)
conc
entr
atio
n (µ
g/L)
CAS influentCAS effluentMBR effluent
Effluent MBR
0
10
20
30
40
50
60
Con
cent
ratio
n(p
pb)
NP
Influent CAS Effluent CAS
0
10
20
30
40
50
60
Con
cent
ratio
n(p
pb)
NP
Nonylphenol
22
Effluent MBR
19%
15%
16%
19%
8%
Effluent CAS Rubí0
200
400
600
800
1000
1200
1400
1600
1800
2000
Con
cent
ratio
n(n
mol
/L)
Effluent MBR
19%
15%
19%
8%NP1EONP2EONP(3-15)EONP1ECNP2ECNP
NP1EONP2EONP(3-15)EONP1ECNP2ECNP
Effluent CAS Rubí
23%18%
10%
43%
2%
14%
13%19%
10%
10%
6%
54%
1%19%
15%
23%
16%
19%
8%23%18%
10%
43%
2%
14%
13%19%
10%
10%
6%
54%
1%19%
15%
23%
16%
19%
8%
Influent CAS Effluent CAS Effluent MBR
0
200
400
600
800
1000
1200
1400
1600
1800
2000
Con
cent
ratio
n(n
mol
/L)
Total nonylphenolic compounds
LAS and CDEA
Influent CAS Rubi Effluent CAS Rubi Effluent MBR
0
100
200
300
400
500
600
700
800
900
Con
cent
ratio
n (p
pb)
LAS
Influent CAS Rubi Effluent CAS Rubi Effluent MBR
0
100
200
300
400
500
600
700
800
900
Con
cent
ratio
n (p
pb)
LAS
Influent CAS Rubi Effluent CAS Rubi Effluent MBR
0
100
200
300
400
500
600
700
800
900
Con
cent
ratio
n (p
pb)
LAS
Influent CAS Rubi Effluent CAS Rubi Effluent MBR
0
20
40
60
80
100
120
140
160
180
Con
cent
ratio
n (p
pb)
CDEA
Influent CAS Rubi Effluent CAS Rubi Effluent MBR
0
20
40
60
80
100
120
140
160
180
Con
cent
ratio
n (p
pb)
CDEA
Influent CAS Rubi Effluent CAS Rubi Effluent MBR
0
20
40
60
80
100
120
140
160
180
Con
cent
ratio
n (p
pb)
CDEA
23
Conclusions (II)
• MBR treatment retained and degraded alkyphenoliccompounds with an overall efficiency of 94%, which represented a significant improvement in comparison to the CAS treatment where only 54% of the total nonylphenoliccompounds were removed.
• MBR is very efficient in removal of acidic metabolites(NP1EC and NP2EC) which are the most abundant biodegradation products formed in CAS.
Acknowledgements
This work has been supported by:
EU project EMCO (INCO CT 2004-509188) (Reduction of environmental risks, posed by Emerging Contaminants, through advanced treatment of municipal and industrial wastes)
EU project AquaTerra ( GOCE-CT-505428) Integrated modelling of the river-sediment-soil-groundwater system; Advanced tools for the management of catchment areas and river basins in the context of global change
Spanish Ministerio de Ciencia y TecnologiaProject CTM2004-06255-CO3-01