Literature DB >> 35595679

One-Step Biocatalytic Synthesis of Sustainable Surfactants by Selective Amide Bond Formation.

Max Lubberink1, William Finnigan1, Christian Schnepel1, Christopher R Baldwin1, Nicholas J Turner1, Sabine L Flitsch1.   

Abstract

N-alkanoyl-N-methylglucamides (MEGAs) are non-toxic surfactants widely used as commercial ingredients, but more sustainable syntheses towards these compounds are highly desirable. Here, we present a biocatalytic route towards MEGAs and analogues using a truncated carboxylic acid reductase construct tailored for amide bond formation (CARmm-A). CARmm-A is capable of selective amide bond formation without the competing esterification reaction observed in lipase catalysed reactions. A kinase was implemented to regenerate ATP from polyphosphate and by thorough reaction optimisation using design of experiments, the amine concentration needed for amidation was significantly reduced. The wide substrate scope of CARmm-A was exemplified by the synthesis of 24 commercially relevant amides, including selected examples on a preparative scale. This work establishes acyl-phosphate mediated chemistry as a highly selective strategy for biocatalytic amide bond formation in the presence of multiple competing alcohol functionalities.
© 2022 The Authors. Angewandte Chemie International Edition published by Wiley-VCH GmbH.

Entities:  

Keywords:  Amides; Amino Alcohols; Biocatalysis; Surfactants; Sustainable Chemistry

Mesh:

Substances:

Year:  2022        PMID: 35595679      PMCID: PMC9401052          DOI: 10.1002/anie.202205054

Source DB:  PubMed          Journal:  Angew Chem Int Ed Engl        ISSN: 1433-7851            Impact factor:   16.823


Surfactants are a ubiquitous class of compounds offering a wide range of applications in pharmaceuticals, cosmetics, detergents, emulsifiers, and foaming agents.[ , ] As the global surfactant production is around 16.5 megatons per year, there is significant interest in developing surfactants from renewable resources and the use of more sustainable synthesis methods.[ , ] Non‐ionic surfactants like N‐alkanoyl‐N‐methylglucamides (MEGAs), are non‐toxic, stable, and biodegradable and are therefore widely utilized in pharmaceutical and biochemical applications.[ , ] As current industrial syntheses towards MEGAs use harsh chemical methods, there has been a significant interest for alternative, more sustainable processes towards these targets, as exemplified by the recent “Sugar Surfactant Open Innovation Challenge” announced by the Swiss multinational company Clariant. To address this issue, enzymatic methods have gained some interest over the years. Lipase catalyzed synthesis of glucamide surfactants has been reported in either organic solvents or solvent‐free systems using high reaction temperatures.[ , ] These lipase‐catalyzed reactions using N‐methyl‐d‐glucamine (1) and either a fatty acid or a fatty acid methyl ester yield a mixture of amide (target product) and ester by‐products, which can react with the acyl donor a second time to form an amide‐ester, which is reported to be the major by‐product. As amide bonds are prevalent motifs in many natural products and pharmaceuticals, there has been growing interest in the development of aqueous amidation methods under benign conditions. Biocatalysts, in particular ATP‐dependent enzymes, have gained increasing interest over recent years.[ , , , , , , , ] We have previously reported on using carboxylic acid reductase (CAR) for amide bond formation by intercepting the adenylate intermediate by substituting the NADPH cofactor for an amine nucleophile. Others have shown that CARs are also capable of lactam formation. Subsequently, it was found that using a truncated construct of CAR, consisting of a stand‐alone adenylation domain (CARmm‐A), was more effective in amide bond formation, and optimization of this process allowed for the selective mono‐acylation of symmetrical diamines. A recent study showed that CARs are also capable of ester formation. However, significant amounts of imidazole catalyst and alcohol nucleophile concentrations of over 1000‐fold excess were required to observe ester formation. Encouraged by these results, we were interested in the question of whether CARmm‐A could fill the need for the selective biocatalytic formation of N‐alkanoyl amide based surfactants as outlined in Figure 1. CARs are particularly attractive for this approach because of their wide substrate scope, which includes long‐chain fatty acids, whereas acyltransferases are limited to short‐chain acyl donors[ , ] or are very selective towards one amino sugar.
Figure 1

Selective CARmm‐A catalysed synthesis of MEGA surfactants. The cofactor can be recycled in situ using the kinase CHU.

Selective CARmm‐A catalysed synthesis of MEGA surfactants. The cofactor can be recycled in situ using the kinase CHU. In initial efforts to test our hypothesis, N‐methylglucamine 1 was reacted with octanoic acid (7) using our previously described CARmm‐A construct consisting of the adenylation domain of CARmm from Mycobacterium marinum. Under previously reported conditions using an excess of amine and ATP, we obtained the target surfactant MEGA‐8 (11) in over 99 % conversion, as rigorously determined by RP‐HPLC at a wavelength of 210 nm, using a commercial standard as a reference (Figure S7, S8). The near quantitative conversion to product 11 suggested that amide bond formation was indeed highly selective over formation of any side‐products. To provide additional experimental evidence for the observed selectivity of amide bond formation over ester formation, the reaction was further explored using isotopic labelling. The use of 13C‐labelled decanoic acid and 1 allowed us to monitor the reaction in situ by 13C NMR (Figure S1, S2). Importantly, only the desired amide 13C‐13 was observed using this method, with no other carbonyl‐containing (ester) side product detected by NMR. Additionally, amidation between 3‐fluoro cinnamic acid and 1 allowed detection of substrates and reaction products by UV‐HPLC and 19F NMR. No side products were observed during this experiment (Figure S3–S5). Furthermore, using an excess of sorbitol as a nucleophile under these conditions did not lead to any ester products, further confirming the absence of ester formation by CARmm‐A under these reaction conditions (Figure S6). After these initial results, we first sought to address the stoichiometric use of ATP by implementing a polyphosphate kinase from Cytophaga hutchinsonii (CHU) to regenerate ATP from AMP. The use of CHU allows AMP to be utilized as a substrate rather than the more expensive ATP, with sodium polyphosphate as a phosphate source.[ , ] Secondly, the excess of amine over carboxylic acid should ideally be reduced, having previously required amine excess of up to 100‐fold. Pleasingly, reduction of amine (1) to 50 mM over 5 mM 9 still resulted in a good yield (78 %) of 13, (Figure S10) suggesting that amino‐polyols are better substrates than previously described amines. Starting from these promising reaction conditions, design of experiments was used to construct an empirical model for the effect of polyphosphate, AMP and Mg2+ concentrations on conversion (Figure 2) with the view of further optimization.
Figure 2

Empirical model of the reaction. A) The actual conversion plotted against the model prediction. The green data point represents a confirmation experiment using the optimized conditions. B) Pareto plots of model factor significance. C) Snapshot of the prediction profiler set to maximum desirability, showing the optimum concentrations of Mg2+, PolyP and AMP as predicted by the model.

Empirical model of the reaction. A) The actual conversion plotted against the model prediction. The green data point represents a confirmation experiment using the optimized conditions. B) Pareto plots of model factor significance. C) Snapshot of the prediction profiler set to maximum desirability, showing the optimum concentrations of Mg2+, PolyP and AMP as predicted by the model. Interestingly, magnesium concentration was the most important factor in the model, showing significant curvature and a strong interaction with polyphosphate concentration (Figure 2B). The model predicted that the optimum magnesium concentration went up as polyphosphate concentrations were increased. The shift in optimum magnesium concentration is likely due to chelation of magnesium ions by polyphosphate, sequestering them from ATP or AMP and therefore limiting conversion where this effect is too strong. This effect has been observed by others working on similar ATP regeneration systems.[ , , ] Using the model predictions, optimal conditions of 17.1 mM AMP, 66.5 mM MgCl2, and 14.9 mg mL−1 polyphosphate were selected for future experiments (Figure 2C). In further efforts to improve the system we observed that further reduction of amine concentration substantially lowered conversion (Figure S12). A second round of design of experiments was conducted to construct an empirical model for the interdependencies of acid, amine, and CARmm‐A concentrations on conversion and calculated analytical yield (Figure S13). The main effects for acid, amine and CARmm‐A concentrations were all significant, in addition to the quadratic effect for acid concentration and a small interaction between acid and amine concentrations. Counter‐intuitively, the model predicted yield to peak at 6 mM acid, decreasing with higher substrate loadings. We investigated whether increasing co‐solvent concentrations might be inhibiting the reaction but found DMSO concentrations up to 10 % to have only a minor effect on conversion and chose a DMSO concentration of 1 % in our reactions (Figure S14). We also ruled out any pH‐based effects at higher substrate loadings, suggesting some form of substrate inhibition could be causing the drop in yield at higher substrate loadings. The trade‐offs between yield, conversion, and the use of resources apparent in the model allow for exploration for what an optimized reaction might look like, depending on the desired process. We aimed to maximize yield while keeping amine concentration low, suggesting a 5 mM acid and 50 mM amine concentration using 2 mg mL−1 CARmm‐A (0.55 mol %) to be optimal. With these optimized conditions, we subsequently examined the scope of other amino alcohols for selective CARmm‐A catalyzed amide formation using octanoic (7), nonanoic (8), decanoic (9), and dodecanoic acid (10) as acyl donors. It was found that like the secondary amine of 1 leading to amides 11–14 (MEGA‐8, MEGA‐9, MEGA‐10 and MEGA‐12 respectively), the primary amine of d‐glucamine (2) was also well accepted as amine donor forming amides 15–18 (Table 1). Further exploiting the N‐ selectivity of this system, we investigated the use of amino alcohols 3 and 4 as amine nucleophiles forming amides 19–26. These ceramide analogues are widely used in the pharmaceutical and cosmetics industry but previously reported lipase‐catalyzed syntheses encounter ester side‐product formation as outlined before. We observed conversion for both amino alcohols, but the primary amine substrate 3 (conversions up to 83 %) performing significantly better than the secondary amine substrate 4 (conversions up to 39 %). Finally, we decided to look at ethanolamine (5) and diethanolamine (6) as amine donors, as their amide products would yield commercially available anti‐foaming agents such as lauramide MEA and DEA (30 and 34 respectively). We found 5 to be a good amine donor in this system (conversions up to 77 %), but secondary amine 6 showed very poor conversions (up to 11 %) with dodecanoic acid product 34 not being observed at all. In general, fatty acid carbon chain lengths of up to 10 carbons were well accepted in this system, but a drop‐off in conversion was observed when dodecanoic acid was used as acyl donor, which is likely caused due to the limited solubility of dodecanoic acid in water.
Table 1

Synthesis of MEGA surfactants and surfactant‐like molecules using CARmm‐A.

Conversion[a]

Amine

Product

7 n=6

8 n=7

9 n=8

10 n=10

1

11 94 %

12 83 %

13 79 %

14 30 %

2

15 95 %

16 86 %

17 86 %

18 18 %

3

19 39 %

20 38 %

21 34 %

22 12 %

4

23 78 %

24 81 %

25 83 %

26 33 %

5

27 74 %

28 71 %

29 77 %

30 35 %

6

31 11 %

32 9 %

33 7 %

34 <1 %

[a] Reaction conditions: Carboxylic acid (5 mM), amine (50 mM), AMP (17.1 mM), MgCl2 (66.5 mM), Polyphosphate (14.9 mg mL−1), CHU (0.27 mol %), CARmm‐A (0.55 mol %), HEPBS buffer (100 mM), 1 % DMSO, 0.5 mL scale, pH 8.5, 37 °C, 250 rpm, 16 h.

Synthesis of MEGA surfactants and surfactant‐like molecules using CARmm‐A. Conversion[a] Amine Product 7 n=6 8 n=7 9 n=8 10 n=10 1 11 94 % 12 83 % 13 79 % 14 30 % 2 15 95 % 16 86 % 17 86 % 18 18 % 3 19 39 % 20 38 % 21 34 % 22 12 % 4 23 78 % 24 81 % 25 83 % 26 33 % 5 27 74 % 28 71 % 29 77 % 30 35 % 6 31 11 % 32 9 % 33 7 % 34 <1 % [a] Reaction conditions: Carboxylic acid (5 mM), amine (50 mM), AMP (17.1 mM), MgCl2 (66.5 mM), Polyphosphate (14.9 mg mL−1), CHU (0.27 mol %), CARmm‐A (0.55 mol %), HEPBS buffer (100 mM), 1 % DMSO, 0.5 mL scale, pH 8.5, 37 °C, 250 rpm, 16 h. To demonstrate the synthetic utility of this biocatalytic method, we scaled up representative examples (11, 15 and 25) to 30 mL in order to isolate the reaction products for analysis. The commercial surfactant MEGA‐8 (11, 42 % yield) was obtained using normal‐phase flash chromatography and compound 15 (54 % yield) and ceramide analogue 25 (78 % yield) were successfully obtained after reverse phase flash chromatography (Supporting Information). Our results suggest that the CARmm‐A‐based amide synthesis is more selective than lipase‐based methods, even though this reaction is a promiscuous activity for both enzyme classes. However, the reaction paths for each enzyme are very different as shown in Figure 3. The acylation reaction catalyzed by lipases is expected to proceed via an acyl‐enzyme intermediate using the classic triad mechanism (Figure 3A). The selectivity of the nucleophile (N vs O) would be expected to be controlled by the enzyme, with lipases naturally evolved to prefer ester substrates. A change in reactivity would involve protein engineering, with some interesting examples on catalytic triad enzymes reported recently.
Figure 3

Comparison of the mechanisms of lipase and CARmm‐A catalyzed reactions between fatty acids/esters and amino alcohols. A) Lipase active site residues (in yellow) promoting the reaction via formation of an acyl‐enzyme intermediate. B) Proposed mechanism for CARmm‐A catalysed amidation: active‐site adenylation step to form an acyl adenylate intermediate that preferentially reacts with amines over alcohols.

Comparison of the mechanisms of lipase and CARmm‐A catalyzed reactions between fatty acids/esters and amino alcohols. A) Lipase active site residues (in yellow) promoting the reaction via formation of an acyl‐enzyme intermediate. B) Proposed mechanism for CARmm‐A catalysed amidation: active‐site adenylation step to form an acyl adenylate intermediate that preferentially reacts with amines over alcohols. In contrast, CARmm‐A would be expected to generate a fatty acid‐acyl‐AMP intermediate (figure 3B). The work by Chaiyen et al. shows that this intermediate does not react readily with alcohols: significant amounts of imidazole have to be added to the reaction mixture to be able to observe ester formation, i.e. requiring imidazole as a catalyst. Thus, we suggest that the selectivity is controlled by the intrinsic preference of acyl phosphates in water for amide over ester formation, which is documented in the literature.[ , ] In summary, this study demonstrates the versatility of CARmm‐A for one‐step, selective amide bond formation under aqueous conditions by starting from otherwise challenging, multifunctional substrates. It provides a highly selective alternative to current synthesis methods of MEGAs and related surfactants directly from acid and amines without ester‐forming side reactions observed in lipase‐catalyzed reactions. This amidation method might provide a valuable starting point for further reaction engineering and application in more industrially relevant processes.

Conflict of interest

The authors declare no conflict of interest. As a service to our authors and readers, this journal provides supporting information supplied by the authors. Such materials are peer reviewed and may be re‐organized for online delivery, but are not copy‐edited or typeset. Technical support issues arising from supporting information (other than missing files) should be addressed to the authors. Supporting Information Click here for additional data file.
  20 in total

1.  pKa-dependent formation of amides in water from an acyl phosphate monoester and amines.

Authors:  Jolanta Wodzinska; Ronald Kluger
Journal:  J Org Chem       Date:  2008-05-28       Impact factor: 4.354

2.  Adenylation Activity of Carboxylic Acid Reductases Enables the Synthesis of Amides.

Authors:  Alexander J L Wood; Nicholas J Weise; Joseph D Frampton; Mark S Dunstan; Michael A Hollas; Sasha R Derrington; Richard C Lloyd; Daniela Quaglia; Fabio Parmeggiani; David Leys; Nicholas J Turner; Sabine L Flitsch
Journal:  Angew Chem Int Ed Engl       Date:  2017-10-11       Impact factor: 15.336

3.  An Enzymatic N-Acylation Step Enables the Biocatalytic Synthesis of Unnatural Sialosides.

Authors:  Pedro Laborda; Yong-Mei Lyu; Fabio Parmeggiani; Ai-Min Lu; Wen-Jiao Wang; Ying-Ying Huang; Kun Huang; Juan Guo; Li Liu; Sabine L Flitsch; Josef Voglmeir
Journal:  Angew Chem Int Ed Engl       Date:  2020-02-03       Impact factor: 15.336

Review 4.  Harnessing and engineering amide bond forming ligases for the synthesis of amides.

Authors:  Michael Winn; Shona M Richardson; Dominic J Campopiano; Jason Micklefield
Journal:  Curr Opin Chem Biol       Date:  2020-02-12       Impact factor: 8.822

5.  Biomimetic monoacylation of diols in water. Lanthanide-promoted reactions of methyl benzoyl phosphate.

Authors:  Lisa L Cameron; Sheila C Wang; Ronald Kluger
Journal:  J Am Chem Soc       Date:  2004-09-01       Impact factor: 15.419

6.  The broad amine scope of pantothenate synthetase enables the synthesis of pharmaceutically relevant amides.

Authors:  Mohammad Z Abidin; Thangavelu Saravanan; Erick Strauss; Gerrit J Poelarends
Journal:  Org Biomol Chem       Date:  2021-05-26       Impact factor: 3.876

7.  Engineering a Seven Enzyme Biotransformation using Mathematical Modelling and Characterized Enzyme Parts.

Authors:  William Finnigan; Rhys Cutlan; Radka Snajdrova; Joseph P Adams; Jennifer A Littlechild; Nicholas J Harmer
Journal:  ChemCatChem       Date:  2019-07-04       Impact factor: 5.686

Review 8.  Enzymatic Late-Stage Modifications: Better Late Than Never.

Authors:  Elvira Romero; Bethan S Jones; Bethany N Hogg; Arnau Rué Casamajo; Martin A Hayes; Sabine L Flitsch; Nicholas J Turner; Christian Schnepel
Journal:  Angew Chem Int Ed Engl       Date:  2021-03-08       Impact factor: 15.336

9.  One-Step Biocatalytic Synthesis of Sustainable Surfactants by Selective Amide Bond Formation.

Authors:  Max Lubberink; William Finnigan; Christian Schnepel; Christopher R Baldwin; Nicholas J Turner; Sabine L Flitsch
Journal:  Angew Chem Int Ed Engl       Date:  2022-06-08       Impact factor: 16.823

10.  Synthesis of N-acyl amide natural products using a versatile adenylating biocatalyst.

Authors:  Piera M Marchetti; Shona M Richardson; Noor M Kariem; Dominic J Campopiano
Journal:  Medchemcomm       Date:  2019-05-31       Impact factor: 3.597

View more
  1 in total

1.  One-Step Biocatalytic Synthesis of Sustainable Surfactants by Selective Amide Bond Formation.

Authors:  Max Lubberink; William Finnigan; Christian Schnepel; Christopher R Baldwin; Nicholas J Turner; Sabine L Flitsch
Journal:  Angew Chem Int Ed Engl       Date:  2022-06-08       Impact factor: 16.823

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.