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KTH Biotechnology Enzyme selectivity as a tool in analytical chemistry Licenciate thesis by Anders Hamberg Department of Biochemistry School of Biotechnology Royal Institute of Technology (KTH) Stockholm 2007
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Page 1: Enzyme selectivity as a tool in analytical chemistry12022/FULLTEXT01.pdf · both proteomics and protein synthesis. 2.1 Peptide sequencing . Modern amino acid sequence determination

KTH Biotechnology

Enzyme selectivity as a tool in analytical chemistry

Licenciate thesis by

Anders Hamberg

Department of Biochemistry School of Biotechnology

Royal Institute of Technology (KTH)

Stockholm 2007

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©Anders Hamberg School of Biotechnology Royal Institute of Technology (KTH) AlbaNova University Centre 106 91 Stockholm ISBN 978-91-7178-674-6 TRITA-BIO-Report 2007:5 ISSN 1654-2312

ii

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Abstract Enzymes are useful tools as specific analytical reagents. Two different analysis methods were

developed for use in the separate fields of protein science and organic synthesis. Both

methods rely on the substrate specificity of enzymes. Enzyme catalysis and substrate

specificity is described and put in context with each of the two developed methods.

In paper I a method for C-terminal peptide sequencing was developed based on

conventional Carboxypeptidase Y digestion combined with matrix assisted laser

desorption/ionization mass spectrometry. An alternative nucleophile was used to obtain a

stable peptide ladder and improve sequence coverage.

In paper II and III, three different enzymes were used for rapid analysis of enantiomeric

excess and conversion of O-acylated cyanohydrins synthesized by a defined protocol. Horse

liver alcohol dehydrogenase, Candida antarctica lipase B and pig liver esterase were

sequentially added to a solution containing the O-acylated cyanohydrin. Each enzyme caused

a drop in absorbance from oxidation of NADH to NAD+. The conversion and enantiomeric

excess of the sample could be calculated from the relative differences in absorbance.

iii

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Sammanfattning Enzymer kan med fördel användas som specifika reagens inom analytisk kemi. Två olika

analytiskkemiska metoder har utvecklats inom skilda användningsområden: proteinvetenskap

och organkemisk syntes. I båda metoder spelar enzymers substratspecificitet en avgörande

roll. Enzymkatalys och substratspecificitet sätts beskrivs i samband med de nyutvecklade

metoderna.

I artikel I beskrivs en metod för C-terminalsekvensering av peptider genom konventionell

trunkering med hjälp av karboxypeptidas Y. Fragmenterade peptider analyserades med matrix

assisted laser desorption/ionization-masspektrometri. För att skapa en stabil peptidstege och

därmed åstadkomma en förbättrad sekvenstäckning så tillsattes en alternativ nukleofil till

trunkeringslösningen.

I artikel II och III beskrivs en metod för snabbanalys av enantiomert överskott och

omsättning hos O-acylerade cyanohydriner, vilka syntetiserats genom ett definierat protokoll.

Tre olika enzymer, alkoholdehydrogenas från hästlever, lipas B från Candida antarctica och

grisleveresteras sattes i nämnd ordning en lösning innehållande den O-acylerade

cyanohydrinen. Varje enzym gav upphov till en oxidering av NADH till NAD+, vilket

resulterade i stegvis minskad absorbans. Provets omsättning och enantiomert överskott kunde

beräknas från de relativa absorbansskillnaderna.

iv

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List of Publications

I Hamberg A., M. Kempka, J. Sjödal, J. Roerade, K. Hult, 2006, C-terminal

ladder sequencing of peptides using an alternative nucleophile in

carboxypeptidase Y digests, Analytical Biochemistry 357, 167-172.

II Hamberg A., S. Lundgren, M. Penhoat, C. Moberg, K. Hult, 2006, High-

throughput method for enantiomeric excess determination of O-acetylated

cyanohydrins, Journal of the American Chemical Society, 128, 2234-2235.

III A. Hamberg, S. Lundgren, E. Wingstrand, C. Moberg, K. Hult, High

Throughput Synthesis and Analysis of Acylated Cyanohydrins, in press 2007

(DOI: 10.1002/chem..200601638), Chemistry: a European Journal.

v

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Table of contents 1 Introduction ............................................................................................................................. 1

1.1 Biocatalysis .................................................................................................................. 1

1.2 Substrate specificity ..................................................................................................... 2

2 Amino acid sequence determination ....................................................................................... 5

2.1 Peptide sequencing....................................................................................................... 5

2.2 Carboxypeptidase mediated sequencing and competing nucleophiles ........................ 7

2.3 Substrate specificity ..................................................................................................... 8

2.4 Identification frequency ............................................................................................... 9

2.5 Results ........................................................................................................................ 10

3 Determination of Enantiomeric excess ................................................................................. 13

3.1 Screening for enantioselectivity ................................................................................. 13

3.2 Enzymatic determination of enantiomeric excess...................................................... 15

3.3 Enzymatic analysis of O-acylated cyanohydrins ....................................................... 15

3.4 Substrate specificity ................................................................................................... 17

3.5 Results and discussion................................................................................................ 18

4 Conclusions ........................................................................................................................... 23

5. List of Abbreviations............................................................................................................ 25

6. Acknowledgements .............................................................................................................. 27

7. References ............................................................................................................................ 29

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Anders Hamberg

1 Introduction Enzymes are proteins developed in nature for catalyzing reactions required for survival of

different organisms. The high effectiveness and specificity of enzymes have made them

suitable for use in several different areas. In analytical chemistry, the use of enzymes is

extensive. Enzymatic methods in analytical chemistry have been described in several books

and reviews [1-3].

1.1 Biocatalysis A catalyst is generally defined as a substance which speeds up a chemical reaction without

being consumed in the process. In turn, the definition of an enzyme is a biological catalyst.

An example commonly used to illustrate the catalytic power of enzymes is the

decarboxylation of orotidine 5’-phosphate [4]. Spontaneous decarboxylation of the substance

occurs at a rate giving a half-time of 78 million years. When the reaction is catalyzed by the

enzyme orotidine 5’-phosphate decarboxylase from yeast the rate is enhanced by a factor of

1.4×1017. Catalysis is achieved by lowering the energy required for a reaction to take place,

the activation energy. Enzymes reduce the activation energy by stabilizing the transition-state

after binding a substrate (figure 1) [5].

1

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Introduction

G

Reaction Coordinate

E + S

ES

ES#

E + P

E + S ES ES# E + P Figure 1. The energy profile diagram for an enzyme catalyzed reaction. The substrate and enzyme complex (ES) has a lower energy than the free components (E and S). The complex then passes a transition-state (ES#) before releasing the product (P).

The efficiency of catalysis for an enzyme catalyzed reaction is determined by catalytic

constants kcat and KM. kcat is a turnover number and proportional to the maximum reaction

rate, Vmax, for a specific enzyme concentration. Vmax is obtained at substrate saturation of the

enzyme. KM is the Michaelis-Menten constant, which is defined as the substrate concentration

needed to obtain ½ Vmax. KM is often described as a measure of the stability of the enzyme-

substrate complex (ES, figure 1), which is true for single substrate kinetics with very low kcat.

For the reaction to take place, the ES complex has to pass transition-state (ES#, figure 1). The

rate for this step is determined by kcat.

1.2 Substrate specificity A single enzyme may catalyze conversion of various substrates at different rates. For

example, isomerisation of glucose into fructose can be catalyzed by the enzyme xylose

isomerase. However, the natural reaction for xylose isomerase is isomerisation of D-xylose

into D-xylulose [6]. Still, the activity towards glucose is sufficient for industrial production of

high-fructose corn syrup, which is one of the largest industrial processes involving enzymes

[7]. The efficiency of an enzyme catalyzed reaction is often described as substrate specificity,

defined by the specificity constant, kcat/KM, for an enzyme towards a substrate. The energy

required for a substrate to reach transition state (from E + S to ES#, figure 1) can be calculated

by equation 1. Hence, the substrate specificity for an enzyme towards a substrate can be

2

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Anders Hamberg

related to free energy. The case with orotidine 5’-phosphate decarboxylase, mentioned in

section 1.1, corresponds to a decrease in activation energy by 23 kcal/mol.

hTkRT

Kk

RTG B

M

cat lnln# +−=Δ (Equation 1)

Many enzymes catalyze reactions with a considerable enantioselectivity, which plays an

important part in nature as well as in modern chemistry. Enantioselectivity is derived from

differences in substrate specificity towards the enantiomers of a certain substrate. This means

that one enantiomer reacts faster than the other when a racemic mixture is subjected to an

enantioselective enzyme. The enantiomeric ratio, E, is a measure of the enantioselectivity for

an enzyme towards a substrate. E is defined by equation 2 where A denotes the fast reacting

enantiomer and B denotes the slow reacting enantiomer. At racemic conditions, E is equal to

the rate ratio of A over B (E = vA/vB).

BM

cat

AM

cat

Kk

Kk

E⎟⎠⎞⎜

⎝⎛

⎟⎠⎞⎜

⎝⎛

= (Equation 2)

Two different enzyme mediated analysis methods are described in the following chapters of

this thesis. Substrate specificity for the involved enzymes plays an important part in both

cases. In chapter 2 (based on paper I), a peptide sequencing method was developed.

Differences in substrate specificity towards various substrates posed a problem in this case,

which was decreased by adding a competing nucleophile. Chapter 3 describes the

development of a high-throughput screening method for library derived cyanohydrins (based

on paper II and III). In this case differences in substrate specificity, namely high

enantioselectivity, were needed for determination enantiomeric excess.

3

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Anders Hamberg

2 Amino acid sequence determination Protein sciences include research fields of great interest. Proteomics can provide basic

knowledge for understanding of living organisms. Synthesis of novel proteins is attractive in

drug development. An important part in such research is amino acid determination of

expressed proteins and peptides [8-12]. Amino acid sequence determination of a full length

protein was first accomplished in 1953, revealing the sequence of bovine hormone insuline

[13]. Today, most sequencing is performed on peptides or protein fragments afforded by site

specific proteases as peptides and protein fragments are easier to handle than full length

proteins. Tools for amino acid sequence determination of peptides are therefore valuable in

both proteomics and protein synthesis.

2.1 Peptide sequencing Modern amino acid sequence determination of peptides or proteins often involves ladder

sequencing in mass spectrometry (MS) [8-10]. Mass analysis of a fragmented peptide allows

sequence determination from the mass differences between peptide fragments detected as

peaks in mass spectra with specific mass to charge ratios (m/z) as illustrated in figure 2. The

fragmentation can be accomplished by sequential truncations or by random peptide cleavage;

examples of both approaches are presented in the following text. Due to limitations in mass

accuracy when using MS for large macromolecules, ladder sequencing is mainly applicable to

sequencing peptides and small proteins [8]. If a large protein is to be sequenced, it has to be

digested into smaller fragments prior to sequencing.

The most commonly used method for ladder sequencing is tandem-mass spectrometry

(MS/MS) [8-10]. Peptide sequencing by MS/MS can be divided in two steps; the first step

involves isolation of a peptide of a certain mass, which is then fragmented in the second step

[14-16]. The sequence obtained in MS/MS can be read from both the N- and C-terminal of the

peptide, which is mostly an advantage. On the other hand, the double set of ladders displayed

in a mass spectrum may give peptide fragments with overlapping masses [17]. Furthermore,

depending on the fragmentation technique, all peptide bonds do not have the same tendency

to dissociate in MS/MS [17, 18]. Incomplete fragmentation combined with the risk of

obtaining peptide fragments with overlapping masses often lead to incomplete sequence

readout. Complementary methods are therefore often used to obtain sufficient sequence

coverage.

5

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Amino acid sequence determination

A-B – C – D – E – F

A-B – C – D – E

A-B – C – D

A-B – C

m/z

A – B – C – D – E – F

A – B – C – D – E F

A – B – C – D E – F

A – B – C D – E – F

A – B C – D – E – F

A B – C – D – E – F

m/z

A B

Figure 2. Ladder sequencing of a peptide with the sequence ABCDEF. Peptide fragments are displayed as peaks in a mass spectrum. The amino acid sequence can be elucidated from mass differences between peaks in the mass spectrum. In A the ladder is created from truncation of the peptide from the C-terminus. The colours match C-terminal amino acids of the peptide fragment with the peaks in the corresponding mass spectrum. In B two ladders, C-terminal and the N-terminal, are created by random cleavage of the peptide bonds. The colour of the peaks in the mass spectrum is correlated to the colour of the amino acid adjacent to the cleavage site. Both the C- and N-terminal amino acids in the starting peptide have the same colour seen as a single peak with the highest m/z in the mass spectrum.

A relatively new alternative to MS/MS-sequencing is microwave assisted digestion of

proteins followed by mass analysis [19]. Fragmentation is accomplished by subjecting the

peptide to acid hydrolysis assisted by microwave irradiation prior to analysis. The amino acid

sequence can then be determined by simple MS. The microwave based methods have the

same advantage as MS/MS-sequencing concerning the ability to determine the amino acid

sequence from both ends of the peptide. This also results in the same risk as in MS/MS-

sequencing to obtain overlapping masses.

6

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Anders Hamberg

Selective N-terminal sequencing of peptides and proteins is routinely performed by Edman

degradation [20]. Peptide degradation is carried out in cycles using phenyl isothiocyanate for

selective cleavage of the N-terminal amino acid, which can then be analyzed by

chromatography or capillary electrophoresis. As analysis is carried out on the amino acids one

by one, Edman degradation can be applied to full length proteins as well as peptides. Over the

decades, Edman degradation has matured into a reliable and automated method for peptide-

and protein sequencing. However, Edman degradation can be regarded as a laborious and

slow technique exhibiting poor sensitivity. Nonetheless, it is often used as a complement to

MS/MS-sequencing [10]. A protocol for peptide ladder sequencing resembling that of Edman

degradation is also commonly used as a complement to MS/MS-sequencing [21, 22]. Phenyl

isothiocyanate is used together with a terminating agent to prepare a peptide ladder which can

be analyzed in MS. As in Edman degradation, the amino acid sequence is determined from

the N-terminus.

If the amino acid sequence information is desired from the C-terminus, other methods have

to be employed. C-terminal specific degradation of peptides carried out in cycles can be

accomplished by alkylation chemistry [23, 24]. However, low yields in the degradation

reactions often make this method insufficient for sequencing, especially when peptide

samples are limited. Another C-terminal specific alternative is carboxypeptidase mediated

peptide ladder sequencing [25-31]. Mass analysis of a carboxypeptidase digestion of a peptide

can provide information about the C-terminal amino acid sequence. Carboxypeptidase

mediated amino acid determination is described in detail in the following section (2.2).

2.2 Carboxypeptidase mediated sequencing and competing nucleophiles Carboxypeptidases are proteolytic enzymes with selectivity towards the C-terminal amino

acid [32], and are frequently used for C-terminal specific peptide sequencing [25-31].

Aliquots are taken from a carboxypeptidase digest over a period of time. C-terminally

truncated peptide fragments are derived as digestion proceeds, and a peptide ladder is

generated. The C-terminal amino acid sequence can thereby be determined by mass

spectrometry. However, variations in substrate specificity combined with the generation of

numerous peptide fragments may cause insufficient sequence readout (explained in detail in

section 2.3).

A commonly used enzyme for amino acid sequence determination of peptides is

Carboxypeptidase Y (CPY) [25, 28-31]. It has been used both as a single enzyme and together

with another carboxypeptidase exhibiting complementary substrate specificity. CPY have also

7

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Amino acid sequence determination

been studied for the use as a catalyst in transpeptidation reactions to make alterations at the C-

terminus of peptides [33-36]. In this case, an amine is used as an alternative nucleophile

which competes with water in a CPY digest. The result is that a fraction of the digested

peptides undergoes aminolysis while the rest of the peptides are hydrolysed.

An alternative nucleophile could be introduced to compete with water in CPY mediated

peptide sequencing (figure 1, paper I). The altered end group could slow down further

degradation and thereby stabilize the peptide ladder. The stabilized peptide fragments

obtained from aminolysis should give an increased number of peptide fragments of different

lengths. Another effect of the presence of a competing nucleophile is that amine-capped

peptide fragments can function as a buffer to refill the amount of peptide fragments which are

rapidly digested by the enzyme (figure 3, paper I). Altogether these effects may contribute to

increased sequence readout. This method would resemble the DNA sequencing method

developed by Sanger, where ddNTP competes with ordinary NTP in PCR (polymerase chain

reaction) [13]. The random incorporation of ddNTP stops further elongation and DNA

fragments of different lengths are created.

2.3 Substrate specificity Peptides bind to CPY by interactions to six different subsites named S1-S5 and S1’[37]. Each

site binds an amino acid in the peptide analogously named P1-P5 and P1’. P1’ is the C-terminal

amino acid, which is hydrolyzed off by the enzyme after cleavage between P1’ and P1. The C-

terminus of a peptide is recognized by interactions between the carboxylic end and protein

residues in the S1’-pocket of the enzyme [34, 38, 39]. The C-terminal amino acid is thereby

selectively cleaved off. The newly formed peptide fragment can undergo further truncations at

its C-terminus. In this way new substrates are created as degradation of the peptide proceeds.

The subsites of CPY vary in specificity. For example, the S1 preferentially accommodates

large hydrophobic amino acids [40]. As a result, the kcat/KM for CPY towards a peptide is

dependent of its amino acid sequence, and may vary more than 1000 times solely by

variations in the P1’- and P1-positions [32]. This corresponds to possible differences in

activation energy larger than 4 kcal/mol (room temperature).

The large variation in substrate specificity dependent on the amino acid sequence of the

digested peptide pose a problem in carboxypeptidase mediated ladder sequencing. As

fragments with various C-terminal amino acid sequences are generated throughout the

carboxypeptidase digestion, concentrations of the different peptide fragments may not always

be sufficient for analysis. The aim of incorporating an alternative nucleophile at the C-

8

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Anders Hamberg

terminus of a fraction of the digested peptides is to cancel out some of the variations in

substrate specificity. An ultimate goal would be to obtain totally stable peptide fragments

from the alternative reaction. Although, such goal demands that the big differences in

substrate specificity towards the variety of peptide fragments derived in the digest have to be

overcome.

In order to effectively incorporate an alternative nucleophile at the C-terminus of the

digested peptide it should fit in the S1’-subsite. This also means that the enzyme will have

affinity towards the peptide with a bound alternative end group and will subject it to further

degradation. However, KM towards the free nucleophile does not have to be in the same range

as towards the digested peptide if the frequency of incorporation can be adjusted by varying

the concentration of free nucleophile. In the experiments presented in paper I the

concentration of the free alternative nucleophile is 4500 times higher than the starting

concentration of the peptide. The large difference in concentrations is combined with the

possibility for the alternative nucleophile to bind in any of the different subsites. Thus, the

concentration of the alternative nucleophile has to be balanced to avoid competitive inhibition

from the alternative nucleophile.

2.4 Identification frequency Carboxypeptidase mediated peptide ladder sequencing protocols can be compared using

identification frequency as a parameter of efficiency (paper I). The identification frequency is

based on the amount of information per mass spectrum of aliquots taken from digests of

different peptides at set reaction times. The calculation of identification frequencies is fully

explained in paper I. Determining identification frequencies can be advantageous when

comparing sequencing results over a defined range of sequences obtained by different digest

methods. The use of various peptides and several aliquots for determination of an

identification frequency can cancel out accidental deviations between measurements.

Variations in the success rate of a sequence experiment may be caused by many factors in the

sequencing method other than the enzymatic step; such as sample handling or discriminations

between different fragments in MS. The identification frequency can also reveal trends

derived from different digest protocols for ladder sequencing. For example, the probability to

identify an amino acid at a certain position in a peptide is dependent on the reaction times

used for taking aliquots from a carboxypeptidase digest. Substrate specificity of the

carboxypeptidase and concentrations of enzyme and substrate can also cause variations which

will be displayed in the identification frequency.

9

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Amino acid sequence determination

An alternative to identification frequency is sequence coverage, which also can be

calculated per aliquot. A difference is that the sequence coverage is peptide specific whereas

results from sequencing of more than one peptide can be included when determining the

identification frequency. The sequence coverage is related to the identification frequencies by

their corresponding averages over a given sequence interval for one or several different

peptides. An average of the sequence coverage per aliquot taken from digests of various

peptides will be identical to the average identification frequency calculated from the same

experiments. However, the average of either coverage or identification frequency may not be

satisfactory when comparing two different digest methods as it will not show any trends

dependent on the amino acid sequence. Such trends can be displayed by calculating the

identification frequency for each amino acid position in the sequence interval.

2.5 Results The identification frequencies in carboxypeptidase Y digests of six different peptides were

determined for the amino acids at positions 1-10 from the C-terminus (paper I). Mass spectra

of aliquots taken at 1, 10, 100 and 1000 minutes of reaction time were used in the

calculations. The experiments were carried out using a buffer containing 2-

pyridylmethylamine (2-PMA) as an alternative nucleophile. A digest carried out in a buffer

without any alternative nucleophile was used as a reference. The average detection frequency

in the interval was 29% when 2-PMA was present compared to 19% in the reference. An

improvement of the identification frequency of around 50% was thereby accomplished. As

previously discussed (section 2.5) these values are identical to the average sequence coverage

per aliquot, calculated for the interval 1-10 from the C-terminus.

Initially, the identification frequency for each position of the amino acid sequence was

calculated (paper I, figure 5). Variations in identification frequencies dependent on the amino

acid position were revealed for both the 2-PMA containing digest and the reference. Both

digest methods resulted in similar trends with the highest identification frequency around

position 7, and higher values for the digest containing 2-PMA. These trends can be caused by

differences in substrate specificities combined with a relatively limited number of peptides.

Another reason for the observed trend is the reaction times. Changing the time protocol for

aliquot sampling could result in a shifted peak of identification frequency and a different

trend. It is apparent that both time protocol and variations in substrate specificities have the

same effect regardless of the presence of 2-PMA. The amine-capping by 2-PMA stabilize the

peptide fragments and enhance the probability to identify amino acids in CPY mediated

10

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Anders Hamberg

peptide sequencing. Consequently, a smaller amount of aliquots and less peptide specific

optimization of the digest protocol is necessary to obtain a sufficient sequence coverage. Both

time and valuable peptide samples can thereby be saved by using the presented method.

ValLeuLeuHisPhe

Phe His Leu

Phe His Leu

Tyr + Ser

-90 Da

* **

**

*

**

** *

*

A

B

* *

*

m/z

Arb

itrar

y un

its

m/z

Arb

itrar

y un

its

Figure 3. Mass spectra of two CPY digest of N-acetyl-renin-tetradecapeptide after 10 min reaction time. The upper mass spectrum (A) corresponds to CPY digest without any alternative nucleophile. The lower mass spectrum (B) corresponds to CPY digest with 2-PMA present as an alternative nucleophile. The amino acids identified from hydrolysis fragment series are indicated with drawn double-point arrows and amino acids identified from amine-capped fragments are indicated with dashed double-point arrows. A dotted double-point arrow in spectrum B indicates a difference in the peptide ladder corresponding to the additive mass of tyrosine and serine minus 90 Da, which is the mass of a peptide-bound 2-PMA. A signal to noise ratio of 3 was used as a limit for identification of peptide fragments. Peaks marked with an asterisk (*) correspond to Na or K adducts. A comparison between mass spectra of 100 minutes aliquots taken from CPY digests of

bombesin with and without the alternative nucleophile 2-PMA is done in paper I, figure 3. A

similar example with mass spectra of 10 min. aliquots taken from CPY digests of N-acetyl-

renin-tetradecapeptide shows an increased number identified amino acids when the alternative

nucleophile 2-PMA is used (figure 3). The example with bombesin discussed in paper I

11

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Amino acid sequence determination

suggests that an improvement in identification frequency can be accomplished by a buffering

effect from the amine-capped peptides. The C-terminal bound 2-PMA can be hydrolyzed off

to yield peptide fragments which are by large extent degraded by the enzyme (paper I, figure

4). The example in figure 3 shows that an improvement also can be caused by amine-capped

peptide fragments remaining in the digest solution after hydrolysis of the peptide fragments.

A double set of peptide fragments created from hydrolysis and aminolysis are displayed as

two ladders in mass spectra, with a shift corresponding to the mass of a peptide bound 2-

PMA. A gap in the sequence corresponding to the mass of tyrosine and serine after addition

of the mass of peptide-bound 2-PMA (90 Da) provides information regarding the amino acid

composition without revealing the internal sequence. The double identifications of amino

acids from the double set of peptide fragments and mass differences correlated to more than

one amino acid were not included in the identification frequencies discussed above.

12

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Anders Hamberg

3 Determination of Enantiomeric excess Molecular chirality plays an important role when designing compounds for use in various

fields such as drug development and agricultural chemistry. In order to meet a great demand

of enantiomerically pure or enriched compounds, efficient methods for enantioselective

synthesis are necessary. Hence, production of enantioselctive catalysts is a central field of

research in both organic and enzymatic synthesis.

High-throughput methods have frequently been used for finding enantioselective catalysts

for various reactions. These methods involve generation and evaluation of large libraries of

diverse catalysts, rather than single sample experiments. Catalyst libraries can be generated by

combinatorial methods, which are based on the use of metal complexes with chiral ligands

and activators [41, 42]. The various combinations of ligands and activators induce diversity in

the library which may lead to enantiomeric enrichment of the synthesized compound. An

alternative to combinatorial chemistry is directed evolution for an enzyme catalyzed reaction

[43]. Error prone PCR, gene shuffling and saturation mutagenesis are commonly used for

inducing enzyme diversity.

3.1 Screening for enantioselectivity A challenge associated with production of large compound libraries is the demand of

increased throughput in analysis. Screening for enantiomeric excess (ee) of compounds

created by a catalyst library has become a research field of great interest reviewed in several

publications [43-45]. As no single screening method has yet proven to be universal, new

methods have to be specifically developed for the synthesized substance when creating a

catalyst library. Hence, several methods for rapid ee-determinations based on various

techniques have been developed.

Conventional methods for ee-determination have been modified and optimized for increased

throughput. Parallel apparatus for gas chromatography (GC) equipped with chiral columns

were optimized for rapid ee-determination of the substance 2-phenylpropanol [43, 46].

Studies using modified capillary electrophoresis (CE) for high throughput screening of

secondary amines have shown promising results [43, 47]. Capillary array electrophoresis

(CAE), originally designed for DNA separations, and CE on micro-chips have a potential to

increase throughput significantly compared to conventional CE. Circular dichroism has been

successfully employed in combination with high performance liquid chromatography (HPLC)

for ee-determinations of 1-phenylethanol. The HPLC is used for separation of reaction

13

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product from the reactants but no chromatographic separation of the enantiomers is necessary,

which increases throughput significantly [43, 48]. Both chromatography and capillary

electrophoresis are universal methods in the sense that almost any compound can be analyzed

by separation of the enantiomers. However, the retention times needed for separation are

dependent on the compound and may not be feasible when catalyst libraries grow.

Mass spectrometry has been used for ee-determinations of pseudo-enantiomers differing in

absolute configuration and mass [43, 49-51]. A mass ratio obtained by different amounts of

the pseudo-enantiomers can be correlated to the ee of the product [43, 49, 50]. Analysis has

also been carried out directly on pseudo-enantiomeric reaction intermediates associated with

the catalyst [51]. Fourier transform infrared spectroscopy (FTIR) and flow-through nuclear

magnetic resonance spectroscopy (NMR) are other suitable methods for determining

enantiomeric excess of 13C-labeled pseudo-enantiomers as reviewed by Reetz et al. [43].

Using MS, FTIR or NMR for ee-determinations in catalysis requires pure forms of mass- or

isotope-tagged pseudo-enantiomers either as a reactant or product in the catalyzed reaction.

These methods are therefore limited to ee-determinations in kinetic resolution of racemates

and desymmetrization of prochiral compounds bearing enantiotopic groups.

Numerous methods have been developed for enabling ee-determinations by conventional

spectrophotometry. Many of these methods are based on using molecules which can give a

change in fluorescence [52-55], color [56-58] or UV-absorbance [59] by enantiospecific

interactions with a target substance. The ultra high-throughput potential of fluorescence was

demonstrated by ee-determinations of various amino acids in microarray format [43, 60].

Primarily, interaction induced spectrophotometric ee-determinations can be done on chiral

amines, amino alcohols, amino acids, α-hydroxycarboxylic acids and monosaccarides.

Compounds such as simple alcohols, esters and ketones may require alternative methods [55].

Highly substance-specific methods for ee-determinations have been developed by utilizing

various biochemical techniques such as immunochemistry, protein-substance interactions and

enantioselective enzyme catalysis. Immunochemical methods are based on antibodies with

affinity towards the synthesized product [61, 62]. An attractive system is to use competitive

enzyme immunoassays for ee-determination [61], which requires enantiospecific antibodies

against the target substance. Theoretically, the immune system can raise antibodies against

any compound. However, production of antibodies with the required affinity is often a

laborious task. Recently, enantiospecific interaction with an engineered transmembrane

protein (i.e. an α-hemolysin variant) was discovered useful for ee-determinations [63].

Enantiomeric excess was determined for the pharmaceuticals ibuprofen and thalidomide.

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Enzymatic methods for determining enantiomeric excess (EMDee) have been developed for a

few substances [64-68]. The principals of EMDee are described in detail in the following

section (3.2).

3.2 Enzymatic determination of enantiomeric excess Enantioselective enzymes can be used for determining enantiomeric excess of a substance

[64-68]. The enzyme catalyzes conversion of the substance into a chemically different

species, enabling quantification of the different enantiomers by absorbance measurement. The

reaction rate at high substrate concentration (Vmax) can be directly correlated to the ee-value if

the enantiomer which is not favored in catalysis by the enzyme inhibits the enzyme [64].

Otherwise, knowledge of the total concentration is required for calculation of the ee-value

from the reaction rate [65, 67]. Alternatively, two different enzymes catalyzing the same

reaction but with different enantiopreference can be used without knowledge of the substrate

concentration [66]. A change in absorbance can be obtained by a pH-indicator [65], a reaction

product [64, 66] or the yield of a coupled reaction [67].

The method presented herein relies on using relative endpoints rather than relative reaction

rates for determining enantiomeric excess. This gives the advantage that the method becomes

less sensitive to variations in concentration of substrate and added enzymes. Consequently,

the yield from the synthesis does not have to be known before screening of the product.

Furthermore, the system becomes insensitive to fluctuations in enzyme concentrations and is

therefore suitable for miniaturization. For successful ee determination using endpoints it is

important that the enantioselectivity for the enzyme is sufficiently high (i.e. E>100) towards

the screened substrate, enabling depletion of one of the enantiomers. In this way a stable

signal can be obtained over time without any interference from background reaction of the

remaining enantiomer, which can be quantified by using a complementary enzyme. Thereby

the total concentration of the synthesized product can be determined from the total change.

3.3 Enzymatic analysis of O-acylated cyanohydrins The enzymatic method for determination of enantiomeric excess relying on relative endpoints

was implemented on O-acylated cyanohydrins (papers II, III), synthesized according to a

previously defined method [69]. The analysis of ee and conversion is carried out by

measuring changes in absorbance caused by three consecutive reaction steps. Each step is

carried out by addition of an enzyme exhibiting a desired specificity (figure 4). The first

enzyme added is Horse liver alcohol dehydrogenase, HLADH. By adding HLADH reduction

of aldehyde to alcohol is catalyzed yielding NAD+ from NADH (nicotinamide adenine

15

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dinucleotide), which causes a drop in absorbance (step 1, figure 4). The next step of the

analysis is carried out by adding the enzyme Candida antarctica Lipase B, CALB. Thereby,

ester hydrolysis of the (S)-enantiomer of the acylated cyanohydrin is catalyzed (step 2, figure

4). After depletion of the (S)-enantiomer Pig liver esterase, PLE, is added for hydrolysis of the

(R)-enantiomer (step 3, figure 4). The products from hydrolysis of both enantiomers are

coupled to the oxidation of NADH to NAD+ and the decrease in absorbance can be used for

determining ee. Additionally, conversion can be calculated using the decrease in absorbance

of all three reaction steps.

time

abso

rban

ce

1. HLADHUnreactedsubstrate

2. CALB(S)-enantiomer

3. PLE(R)-enantiomer

R

O

R

OH

NADH + H+ NAD+

HLADH

R CN

O

O

R'

R CN

OH

H2O

HO

O

R'

R

O

R

OH

NADH + H+ NAD+HCN

CALB Spontanous HLADH

R CN

O

O

R'

R CN

OH

H2O

HO

O

R'

R

O

R

OH

NADH + H+ NAD+HCN

PLE Spontanous HLADH

Figure 4. Three different enzymes are added in successive steps: 1) Reduction of aldehyde to alcohol catalyzed by HLADH. 2) Selective ester hydrolysis of the (S)-enantiomer of the product. 3) Unselective ester hydrolysis of the remaining enantiomer, (R), of the product. Oxidation of NADH to NAD+ corresponding to the yield in each reaction step enables determination of ee and conversion by absorbance measurement.

The product from the ester hydrolysis is in spontaneous equilibrium with the corresponding

aldehyde, which is used in synthesis. Hydrolysis of acylated cyanohydrins can thereby be

quantified from the reduction of aldehyde, coupled to oxidation of NAD+ from NADH (step 2

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and 3, figure 4). The reaction is catalyzed by HLADH which is already prevalent in the

reaction buffer as it is the first enzyme added (step 1, figure 4). This color reaction enables

determination of ee from absorbance measurements. Additionally, the amount of aldehyde

remaining from the synthesis of the acylated cyanohydrin is assessed and can be used to

calculate the conversion. Again, absolute concentration does not have to be known as relative

measurements are used.

CALB is known to exhibit high enantioselectivity towards secondary alcohols and esters

and is therefore a suitable catalyst for depletion of the (S)-acylated cyanohydrins. PLE

catalyzes hydrolysis of both (R)- and (S)-enantiomers of the acylated cyanohydrins. However,

the amount of the (R)-enantiomer can be determined by assuming that the remaining substrate

is in this configuration when the enzyme is added.

3.4 Substrate specificity An advantage with using enzymes for analysis is the possibility to use the same method for

screening of a relatively wide variety of substances. Still, highly selective conversion of

specific components in a reaction mixture can be obtained. In order to achieve accurate

determinations of ee and conversion using the presented method certain requirements on the

substrate specificity for the involved enzymes towards their substrates have to be met.

As discussed earlier in section 3.2, high enantioselectivity for the enzyme used for selective

depletion of one enantiomer is crucial for successful determination of ee in the presented

method. In agreement with Kaslauska’s rule [70], the enantioselectivity for a lipase towards

the O-acylated cyanohydrins should be dependent on the difference in size between the R-

and CN-group of the cyanohydrin (figure 4). The enantioselectivity for CALB towards

secondary alcohols and esters is derived from a stereospecificity pocket in the active site [71],

which should fit the cyano group of the cyanohydrin. Therefore, successful ee-determination

using CALB in the presented method may be possible for O-acylated cyanohydrins with

substituents at the R-position large enough to obtain the required enantioselectivity. Since the

R-group points out towards the entrance of the active site, its size should not be limited by the

enzyme.

The active site of CALB also have a pocket for the acyl part of the substrate (R’-group,

figure 2) [71]. Linear aliphatic R’-substituents of various lengths should not have any

problems to fit in this pocket [72]. However, too large hydrophobic substituents on either the

R- or the R’-group of the substrate may affect the solubility in aqueous buffer of both

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substrate and product and thereby prevent analysis. Some nonlinear acyl chains may also fit

into this pocket, since it is not as confined as the stereospecificity pocket.

The dynamic range in absorbance measurements is limited due to Lambet-Beer’s law (0.2-

0.8 absorbance units). The enzymes in the assay therefore have to have kcat/KM-values towards

the tested substances which enable catalysis at low substrate concentrations (10-100 µM). As

an example HLADH has a KM-value towards benzaldehyde which makes the enzyme suitable

as a catalyst when analyzing mandelonitrile acetate with the presented method [73]. In

contrast, the specificity for HLADH towards smaller substrates such as acetaldehyde is

considerably lower, making the enzyme inappropriate for analysis of lactonitrile acetate.

As mentioned earlier (section 3.3), the enzyme used for complementary ester hydrolysis

does not have to be enantioselctive towards the analyzed substance. Commercially available

PLE is often a mixture of isozymes which have low enantioselectivity and may thereby be a

good catalyst for both enantiomers [74].

In most type of chemical analysis, impurities such as byproducts or remaining reactants and

reagents from the synthesis may affect the analysis. Using enzymes with adequate substrate

specificities towards their substrates can prevent such effects without purification of the

analyte.

3.5 Results and discussion The screening method described in section 3.3 was evaluated by enzymatic determination of

various ee of mandelonitrile acetate, published in paper II. This initial study demonstrated

that the design of the method was adequate and applicable in both cuvette- and microtiter

plate format. However, a more extensive evaluation was needed to define the scope and

limitations of the method concerning substrate diversity, robustness and applicability in high-

throughput screening. In paper III, the method was hence tested using O-acylated

cyanohydrins with various substitutions at the chiral center of the cyanohydrin and at the acyl

part of the compound (respectively defined as the R- and R’-group in figure 4). Additionally,

paper III includes a study using the method for high-throughput screening of a combinatorial

catalyst library model.

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Table 1. Substances subjected to enzymatic analysis Substancenumber*

Substituents** R R’

Enzymatic determination ee conversion

1a C6H5 CH3 yes yes 1b 4-CH3-C6H5 CH3 yes yes 1c 4-CH3-O-C6H5 CH3 yes yes 1d 4-Cl-C6H5 CH3 yes yes 1e 2-Furyl CH3 yes yes 1f 3-(PhO)C6H5 CH3 no yes 1g 3-Pyridyl CH3 yes yes 1h 2-Pyridyl CH3 no yes 1i (E)-CH=CHPh CH3 yes yes 1j C(CH3)3 CH3 no no 1k (CH2)4CH3 CH3 no no 1l C6H5 CH2CH3 yes yes 1m C6H5 (CH2)2CH3 yes yes 1n C6H5 (CH2)3CH3 no no 1o C6H5 CH(CH3)2 yes yes 1p C6H5 C(CH3)3 no no 1q C6H5 (E)-CH=CHPh no no 1r C6H5 C6H5 no no *Structures of substance 1a-1r can be found in paper III.

R CN

O R'

O **Substituents on an acylated cyanohydrin as defined:

The substrates listed in table 1 were tested using crude samples of the reaction mixture. A

racemic sample and samples containing an enantiomeric excess of the (S)- as well as the (R)-

enantiomer were used for assessment. Verification was done by plotting the enzymatically

determined ee to their corresponding value determined by GC (figure 5). Furthermore, each

sample was analyzed at two substrate concentrations differing by a factor of 2. Enzymatic

determination of ee was achieved for 10 and conversion was enzymatically determined for 12

of 18 tested substances (tab. 1). Possible explanations for the reason why some compounds

could not be enzymatically analyzed are presented in paper III. High accuracy of the

enzymatically determined ee-values and conversion was obtained regardless the variations in

substrate concentrations.

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-100

-80

-60

-40

-20

0

20

40

60

80

100

-100 -50 0 50 100

GC (% ee )

Enzy

mat

ic (%

ee)

1d1l

Figure 5. Example of enzymatic determination of ee plotted as a function of the corresponding values determined by GC for 1d ( ) and 1l ( ). Positive ee values correspond to an excess of the (R)-enantiomer, negative to an excess of the (S)-enantiomer. The dotted line corresponds to EMD value = GC value. The continuous line is a linear regression of results from 1d (EMDee = 0.97GCee -2.8, r2 = 0.9992). The dashed line is a linear regression of results from 1l (EMDee = 0.82GCee – 0.66, r2 = 0.996).

A small catalyst library was created for synthesis of mandelonitrile acetate in a micro reactor.

A salen-Ti complex were used as a catalyst activated by various Lewis bases and samples

were taken at two different reaction times to obtain samples with different ee and conversion

(tab. 2). Enzymatic determination of ee and conversion was applied as previously described in

96-well microtiter plate format for screening the library. No purification of the samples was

done prior to the screening. Quadruplicate measurements were made for each sample to

evaluate the reproducibility of the method.

The enzymatically determined values for ee and conversion were successfully expressed as

a function of the values obtained from GC (paper III). The experiments showed that the

different catalytic complexes and Lewis bases used for synthesis had no apparent effect on the

analysis. Standard deviations of the measured ee and conversion differed between the

analyzed samples. This can be explained by variations in dynamic range of absorbance caused

by differences in conversion and concentration.

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Table 2. Catalyst library created from various Lewis bases, catalysts

and reaction times*. Lewis base Catalyst Reaction time

(min) ee (%)

conversion (%)

Et3N salen-Ti2 20 -49 30 Et3N salen-Ti2 40 -62 70 DBU salen-Ti2 20 -20 96 DBU salen-Ti2 40 -7 97 cinchonidine salen-Ti2 20 -63 22 cinchonidine salen-Ti2 40 -74 66 quinine salen-Ti2 20 -42 23 quinine salen-Ti2 40 -61 64 DIPEA salen-Ti2 20 -59 68 DIPEA salen-Ti2 40 -55 73 DMAP salen-Ti2 20 -75 45 DMAP salen-Ti2 40 -75 74 DEA salen-Ti2 20 -59 24 DEA salen-Ti2 40 -64 65 cinchonidine ent-salen-Ti2 20 46 42 cinchonidine ent-salen-Ti2 40 87 80 quinine ent-salen-Ti2 20 75 94 quinine ent-salen-Ti2 40 83 94 DABCO salen-Ti2 20 -35 12 DABCO salen-Ti2 40 -79 63

*All reactions were carried out in dichloromethane at room temperature using 2 equivalents of acetyl cyanide, 5 mol% catalyst and 10 mol% Lewis base. Both ee and conversion were determined by GC. Positive ee denote an excess of the (R)-enantiomer whereas negative ee denote an excess of the (S)-enantiomer.

In an early stage of the development of the enzymatic method for determination of

enantiomeric excess para-nitrophenol was used as a pH indicator to yield a color reaction for

absorbance measurement. The enzymes CALB and PLE were used as described in section

3.3. A linear relationship between ee-values determined enzymatically and by GC was

obtained for purified samples in cuvettes (paper III). However, a weak buffer had to be used

in order to obtain a measurable change in pH making the method sensitive to contaminations

such as atmospheric carbon dioxide. Still, the pH-indicator can work as a tool for designing

similar assays for other substances. The system with CALB and PLE could for example be

useful for determination of ee of other types of secondary esters.

An interesting feature of the enzymatic method for determining enantiomeric excess by

relative endpoints is that it is insensitive to variations in concentrations of both substrate and

enzyme. The method could thereby be suitable for miniaturization into a “lab on a chip”. A

first step towards a miniaturized system could be to move from absorbance to fluorescence

spectroscopy for increased sensitivity.

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Anders Hamberg

4 Conclusions In the work presented in chapter 2 (based on paper I), an alternative nucleophile was used for

improving the sequence coverage in carboxypeptidase Y mediated peptide sequencing. The

developed method was proven to be useful for C-terminal sequencing of peptides. The

method can be directly applied on any peptide sequencing experiment where

carboxypeptidase Y truncation is considered. Further studies could help additional

improvements of the sequence coverage. For example, other compounds than 2-PMA could

be used to increase the stability of the peptide fragments derived in the digest.

Chapter 3 (based on paper II and III) presents a method for determining enantiomeric

excess and yield. The method was applied for evaluation of a protocol for combinatorial

synthesis of acylated cyanohydrins. The substrate specificity for three different enzymes,

HLADH, CALB and PLE, were utilized to accomplish measurable changes in absorbance

from oxidation of NADH to NAD+. The high enantioselectivity for CALB towards acylated

secondary alcohols enabled determinations of enantiomeric excess from relative endpoints.

Evaluations of the robustness, substrate diversity and high-throughput applicability of the

method showed good and promising results. An alternative colour reaction based on titration

of formed acid with coloured pH-indicator can open up possibilities to use CALB and PLE

for analysis of the enantioselectivity in ester synthesis protocols other than the synthesis of

cyanohydrins evaluated herein.

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Anders Hamberg

5. List of Abbreviations kcat Turnover number for an enzyme towards a substrate

KM Michaelis-Menten constant

Vmax Maximum reaction rate for an enzyme catalyzed reaction

E Enantiomeric ratio

MS Mass spectrometry

m/z Mass to charge ratio

MS/MS Tandem mass spectrometry

CPY Carboxypeptidase Y

Pn Amino acid in a digested peptide or protein at position n on N-terminal side

from the cleavage site

Pn’ Amino acid in a digested peptide or protein at position n on C-terminal side

from the cleavage site

Sn Subsite in a peptidase or protease which accommodates the amino acid n in a

peptide or protein

2-PMA 2-pyridylmethylamine

PCR Polymerase chain reaction

ee Enantiomeric excess

GC Gas chromatography

CE Capillary electrophoresis

CAE Capillary array electrophoresis

HPLC High Performance Liquid Chromatography

FTIR Fourier transform infrared spectroscopy

NMR Nuclear magnetic resonance spectroscopy

UV Ultra violet

EMDee Enzymatic method for determining enantiomeric excess

HLADH Horse liver alcohol dehydrogenase

NAD+ Nicotinamide adenine dinucleotide, oxidized form

NADH Nicotinamide adenine dinucleotide, reduced form

CALB Candida antarctica Lipase B

PLE Pig liver esterase

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Anders Hamberg

6. Acknowledgements This thesis has been influenced by a number of people to whom I am most grateful.

I would like to thank my supervisor, Professor Karl Hult, for accepting me as a student and

guiding me along the way. I look forward to continue working with you.

To Professor Johan Roerade, Martin Kempka and Dr Johan Sjödahl at the Department of

Analytical Chemistry, KTH School of Chemical Science and Engineering: I thank you for

providing expertise in mass spectrometry essential for the work published in paper I.

To Professor Christina Moberg, Stina Lundgren, Erica Wingstrand and Maël Penhoat at

Organic Chemistry, KTH School of Chemical Science and Engineering: Thank you for an

excellent collaboration with the work published in paper II and III.

I would also like to thank my present and previous colleagues in the Biocat group for help,

interesting discussions and for just being nice: Per Berglund, Cecilia Branneby, Karim

Engelmark Cassimje, Magnus Eriksson, Linda Fransson, Cecilia Hedfors, Marianne Larsen,

Anders Magnusson, Mats Martinelle Per-Olof Syrén, Maria Svedendahl and Mohamad Takwa

(presented in alphabetical order).

The rest of the floor 2, including administrators Lotta and Ela, the Wood Biotechnology group

and IT-coordinators Erik and Kaj, thank you for giving a helping hand once in a while and

providing a nice and stimulating working environment.

For financial support I thank The Nanochemistry program, funded by the Swedish Foundation

for Strategic Research.

On a personal level I want to thank my father Percy, my mother Sonja and her partner Arnulf.

My deepest gratitude goes out to my family, my fiancé Newroz and our son Robin. You are

far more important to me than anything else, I love you.

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