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Multi‐enzyme cascade reaction in a miniplant two‐phase‐system : Model validation and mathematical optimization
Author(s) -
Johannsen Jens,
Meyer Francesca,
Engelmann Claudia,
Liese Andreas,
Fieg Georg,
Bubenheim Paul,
Waluga Thomas
Publication year - 2021
Publication title -
aiche journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.958
H-Index - 167
eISSN - 1547-5905
pISSN - 0001-1541
DOI - 10.1002/aic.17158
Subject(s) - bioprocess , biochemical engineering , cascade , process (computing) , computer science , bioprocess engineering , process engineering , process development , chemistry , biological system , engineering , chemical engineering , chromatography , biology , operating system
Biotechnological application of multiple enzymes in different phases for target compounds synthesis poses a significant challenge for industrial process development. At the same time, a growing demand for natural flavors and fragrances opens up possibilities for novel biotechnological processes to replace current chemical synthesis routes, with additional advantages such as avoiding harsh reaction conditions and toxic chemicals, and less by‐products in the system. Within complex biotechnological processes, the key for unfolding their industrial application potential in bioprocess engineering lies in their mathematical modeling. In this contribution, a multi‐enzyme cascade reaction in a two‐phase system implemented in a miniplant‐scale reactor setup is mathematically modeled for the example of the flavoring agent cinnamyl cinnamate. Using our validated model and a mathematical optimization tool based on a genetic algorithm, optimization runs are performed to demonstrate the potential of computer‐aided process development for complex biotechnological processes.