Quick identification of a simple enzyme deactivation model for an extended-Michaelis-Menten reaction type. Exemplification for the D-glucose oxidation with a complex enzyme deactivation kinetics. (4th October 2016)

• Record Type: Journal Article
• Authors: Maria, Gheorghe
• Is Part Of: Computers & chemical engineering. Volume 93(2016)
• Page Start: 323
• Page End: 330
• Publication Date: 2016-10-04
• Subjects: Enzyme deactivation kinetics -- Kinetic model discrimination -- D-glucose oxidation -- Pyranose oxidase -- Pseudo first order deactivation; Chemical engineering -- Data processing -- Periodicals; 660.0285
• DOI: 10.1016/j.compchemeng.2016.07.014
• Languages: English
• ISSNs: 0098-1354

Abstract

Graphical abstract: Highlights: D-glucose is oxidized using pyranose-2-oxidase P2Ox in a batch experiment. P2Ox is inactivated by the resulted H2 O2 following a complex reaction mechanism. Simple lumped enzyme deactivation models are tested vs. simulated kinetic data. The data are generated using an extended process kinetic model from literature. A proposed enzyme deactivation model has been found to be the best lumping alternative Abstract: One essential engineering problem when developing an industrial enzymatic process concerns the model-based design and optimal operation of the enzymatic reactor based on the process and enzyme inactivation kinetics. For a complex enzymatic system, the "default" used first-order enzyme deactivation model has been proved to lead to inadequate process design or sub-optimal operating policies. The present study investigates if a complex enzyme deactivation can be approximated with simple 1st, 2nd, or a novel proposed model with variable deactivation constant. The approached complex enzymatic system is those of the oxidation of D-glucose to 2-keto-D-glucose in the presence of pyranose 2-oxidase. The necessary "simulated experimental data" have been generated by means of an extended kinetic model from literature used to simulate a batch reactor under well-defined nominal conditions. The proposed enzyme deactivation model has been found to be the best lumping alternative, presenting several advantages: simplicity, flexibility, and a very good adequacy.