Abstract

AbstractBiotechnological 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.

Highlights

  • The worldwide market for flavors and fragrances generates a 30 billion U.S.-dollars revenue volume per year, and grows at a 5% annual rate.[1]

  • The wo rld-wide growing demand for natural flavors poses a chance for enzyme-based production processes to be implemented to specialty and fine chemicals industry

  • In vitro multi-enzyme cascade reactions are a promising part of such novel, enzyme-based approaches, in that they present a chance for process integration

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Summary

Introduction

The worldwide market for flavors and fragrances generates a 30 billion U.S.-dollars revenue volume per year, and grows at a 5% annual rate.[1]. The mathematical model described in this work was developed based on experimental data from our multi-enzyme cascade reaction (Figure 1) during the first step of laboratory-scale process development.

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