BESSICC, a COSMO-RS based tool for in silico solvent screening of biocatalysed reactions
Braiuca, Paolo and Halling, Peter and Khaliullin, I. and Švedas, V. and Knapic, L. and Fermeglia, M. and Gardossi, L. (2012) BESSICC, a COSMO-RS based tool for in silico solvent screening of biocatalysed reactions. Biotechnology and Bioengineering, 109 (7). pp. 1864-1868. ISSN 0006-3592 (https://doi.org/10.1002/bit.24439)
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Many enzymatic reactions are near-equilibrium reactions. This often limits final yield and hence application of biocatalyzed processes in the industrial production. The most widely applied strategy to overcome this issue is solvent selection. It must be underlined that measuring the equilibrium position experimentally is a difficult and time-consuming procedure and any tool for predicting the solvent effect on the reaction equilibrium can be very valuable. The present work reports on the development of BESSICC, an algorithm to calculate the effect of medium composition on biocatalyzed reactions equilibrium. It is based on COSMO-RS calculation of activity coefficients of all the species in the reaction mixture and minimization of Gibbs free energy of the reaction. Starting from one single experimental measurement of the equilibrium position for a given biocatalyzed reaction it can predict the yield of the reaction in any other solvent or solvent mixture. Predictions are accurate, the errors of prediction are in average below 25% for the esterification of dodecanoic acid with menthol and below 65% for esterification of 1-dodecanoic acid with 1-dodecanol. The best predictions show an error well below 5%.
ORCID iDs
Braiuca, Paolo, Halling, Peter ORCID: https://orcid.org/0000-0001-5077-4088, Khaliullin, I., Švedas, V., Knapic, L., Fermeglia, M. and Gardossi, L.;-
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Item type: Article ID code: 38018 Dates: DateEvent2012PublishedSubjects: Science > Chemistry Department: Faculty of Science > Pure and Applied Chemistry Depositing user: Pure Administrator Date deposited: 29 Feb 2012 15:46 Last modified: 11 Nov 2024 10:05 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/38018