Mechanistic Fermentation Models for Process Design, Monitoring, and Control

Lisa Mears, Stuart M. Stocks, Mads Orla Albæk, Gürkan Sin, Krist V. Gernaey

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

Mechanistic models require a significant investment of time and resources, but their application to multiple stages of fermentation process development and operation can make this investment highly valuable. This Opinion article discusses how an established fermentation model may be adapted for application to different stages of fermentation process development: planning, process design, monitoring, and control. Although a longer development time is required for such modeling methods in comparison to purely data-based model techniques, the wide range of applications makes them a highly valuable tool for fermentation research and development. In addition, in a research environment, where collaboration is important, developing mechanistic models provides a platform for knowledge sharing and consolidation of existing process understanding.
Original languageEnglish
JournalTrends in Biotechnology
Volume35
Issue number10
Pages (from-to)914-924
ISSN0167-7799
DOIs
Publication statusPublished - 2017

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