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Design of enzymatic cascade reactors through multi-objective dynamic optimization
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DOI：10.1016/j.bej.2022.108384.png)
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Multi-enzymatic cascade reactions have gathered a lot of interest lately because of their potential for sustainable production of chemicals. In this paper, model-based, multi-objective, dynamic optimization is applied to the design of an enzymatic cascade reactor that produces alpha-ketoglutarate. Pareto-optimal process schedules, which are best compromises between space-time yield, enzyme consumption and cofactor consumption, are determined and visualized. Depending on the importance of the individual objectives, the optimal process schedules vary. It is demonstrated, that multi-objective optimization is a valuable tool for the development of enzymatic cascades. It provides decision support for making further experiments, finding bottlenecks in the cascade, and choosing an optimal process schedule for the production.
Keyword:
alpha-Ketoglutarate
Enzymatic cascade reactor
Pyomo
Dynamic optimization
Optimal control
Multi-objective optimization
期刊
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3.8
论文数:
6.3K
被引数:
1.4W
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Constructing Biocatalytic Cascades: In Vitro and in Vivo Approaches to de Novo Multi-Enzyme Pathways.png)
ACS CATALYSIS
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ACS CATALYSISIF13.1
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