Kinetic Modeling of a Consecutive Enzyme-Catalyzed Enantioselective Reaction in Supercritical Media
Author(s) -
Michael Freitas Gustavo,
Edit Székely,
János Tóth
Publication year - 2020
Publication title -
acs omega
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.779
H-Index - 40
ISSN - 2470-1343
DOI - 10.1021/acsomega.0c02405
Subject(s) - overfitting , supercritical fluid , work (physics) , kinetic energy , chemistry , thermodynamics , reagent , catalysis , reaction rate , supercritical carbon dioxide , process engineering , computer science , biochemical engineering , biological system , organic chemistry , physics , engineering , quantum mechanics , machine learning , artificial neural network , biology
Based on experimental data of both batch and continuous enzyme-catalyzed kinetic resolutions of (±)- trans -1,2-cyclohexanediol in supercritical carbon dioxide, kinetic models of increasing complexity were developed to explore the strengths and drawbacks of various modeling approaches. The simplest, first-order model proved to be a good fit for the batch experimental data in regions of high reagent concentrations but failed elsewhere. A more complex system that closely follows the true mechanism was able to fit the full range of experimental data, find constant reaction rate coefficients, and was successfully used to predict the results of the same reaction run continuously in a packed bed reactor. Care must be taken when working with such models, however, to avoid problems of overfitting; a more complex model is not always more accurate. This work may serve as an example for more rigorous reaction modeling and reactor design in the future.
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