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Kinetic models and optimization of enzymatic processes

Kinetic modeling approach offers many advantages in studying complex reaction systems. As the number of compounds in the reaction increases, the number of possible interdependencies between variables also increases. Such complexity is very difficult to perceive without having equations that describe these interdependencies. Thus, kinetic modeling offers a solution and makes it possible to evaluate the effect of different process variables, i.e. experimental conditions on the process outcome, and also saves money and time spent in the lab. The methodology of the kinetic model development and its application in the optimization of enzymatic processes will be demonstrated on two examples. The first one is MenD catalyzed synthesis of 6-cyano-4- oxohexanoic acid (Fig. 1A) and the second one is FSA D6Q catalyzed synthesis of 3-hydroxy-2- methylpropanal (Fig. 1B). Both examples demonstrate the importance of choosing the right reaction conditions and reactor set-up to achieve the optimal process metrics as the synthesis starts with reactive compounds such as acrylonitrile in the first case and formaldehyde and propanal in the second case. Volume productivities and product yields in both cases exceed 2 g L-1 h-1, and 85%, respectively.

enzyme kinetics, mathematical modelling, optimization

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