Mechanistic Fermentation Models for Process Design, Monitoring, and Control

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 appl...

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Bibliographic Details
Published in:Trends in biotechnology (Regular ed.) 2017-10, Vol.35 (10), p.914-924
Main Authors: Mears, Lisa, Stocks, Stuart M., Albaek, Mads O., Sin, Gürkan, Gernaey, Krist V.
Format: Article
Language:English
Subjects:
Automation
bioprocess development
bioprocess engineering
bioprocess monitoring
Bioreactors
Biotechnology - instrumentation
Biotechnology - methods
Biotechnology - trends
Consolidation
Control algorithms
Data processing
Environmental monitoring
Fermentation
industrial biotechnology
Investment
modeling
Models, Biological
R&D
Research & development
Sensors
Trends
Whooping cough
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Summary: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. The Quality by Design (QbD) and process analytical technology (PAT) initiatives have encouraged the development of more advanced monitoring and control methods. Modeling is one method of ensuring that there is an understanding of how the critical process parameters affect the critical quality attributes, therefore ensuring the quality of the product. Mechanistic modeling is proposed as a very flexible modeling tool that may be applied at multiple stages of the process development pathway without significant adaptation of the model.
ISSN:0167-7799
1879-3096
DOI:10.1016/j.tibtech.2017.07.002