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Operation of a mechanically agitated semi-continuous multi-enzymatic reactor by using the Pareto-optimal multiple front method
- Source :
- Journal of Process Control. 53:95-105
- Publication Year :
- 2017
- Publisher :
- Elsevier BV, 2017.
-
Abstract
- One essential engineering problem when developing an industrial enzymatic process concerns the choice of the reactor operating alternative based on a-priori knowledge of the process kinetics and enzyme inactivation characteristics. For a multi-enzymatic system, involving complex interactions among enzymes that exhibit optimal activity on different parametric domains, and a high-order deactivation, this problem requires an extended analysis. The optimization and control engineering problems become very challenging due to the process high nonlinearity and the presence of a large number of complex constraints. All these will translate into a multi-objective optimization problem to be solved for each case. An elegant option developed in this paper is to obtain sets of Pareto optimal solutions, also called Pareto-optimal fronts, successively generated for pairs of adverse objectives. Then, the final choice of the enzymatic reactor operating policy results from the comparative analysis of these Pareto-fronts. Exemplification is made for the complex case of the oxidation of D-glucose (DG) to 2-keto- d -glucose (kDG) in the presence of P2Ox (Pyranose oxidase, EC 1.1.3.10) and catalase, continuously operated in a three-phase mechanically agitated semibatch reactor (MASCR) with co-immobilized enzymes on alginate beads. Optimal operating policy choice is based on the minimum amount of required P2Ox that ensures an imposed reaction conversion and maximum reactor productivity under various technological constraints, and for catalase/P2Ox ratios of 200–300 U/U.
- Subjects :
- Engineering
Optimization problem
business.industry
Process (computing)
Control engineering
02 engineering and technology
Enzymatic process
010402 general chemistry
01 natural sciences
Industrial and Manufacturing Engineering
0104 chemical sciences
Computer Science Applications
Pareto optimal
Nonlinear system
020401 chemical engineering
Control and Systems Engineering
Modeling and Simulation
Process kinetics
0204 chemical engineering
Process engineering
business
Parametric statistics
Subjects
Details
- ISSN :
- 09591524
- Volume :
- 53
- Database :
- OpenAIRE
- Journal :
- Journal of Process Control
- Accession number :
- edsair.doi...........90110de1a371154ddcbdfd6de52b3b34
- Full Text :
- https://doi.org/10.1016/j.jprocont.2017.02.004