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Directed optimization of biocatalytic transglycosylation processes by the integration of genetic algorithms and fermentative approaches into a kinetic model
Authors:Rafael Beine, Alfred Rocas Valente, Rebekka Biedendieck, Dieter Jahn,Jü  rgen Seibel,
Affiliation:aDepartment of Technical Chemistry, Technical University Braunschweig, Section of Carbohydrate Technology, Hans-Sommer-Str. 10, D-38106 Braunschweig, Germany;bDepartment of Microbiology, Technical University Braunschweig, Spielmannstr. 7, D-38106 Braunschweig, Germany;cInstitute of Organic Chemistry, Universität Würzburg, Am Hubland, D-97074 Würzburg, Germany
Abstract:Many biocatalysts exhibit strict stereospecificity and regioselectivity. However, their thermodynamically controlled equilibria often limit yields in industrial production processes. Herein, we describe the synthesis of fructooligosaccharides from sucrose by various fructansucrases. We previously demonstrated that transfructosylation to diverse acceptors yields d-glucose and the fructose-containing product along with diverse by-products. To streamline this reaction, we developed a procedure that allows the enhanced transfructosylation of diverse acceptors by different fructansucrases. By diverting the released glucose from the reaction via metabolism by living cells we limited the back reaction and forced the consumption of sucrose. The basic conditions for the resulting fermentation process were optimized by a genetic algorithm and integrated into a kinetic model. This strategy allows the prediction of optimal reaction parameters for the production of desired target compounds.
Keywords:Genetic algorithm   Levansucrase   Fermentative process   Kinetic model
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