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Mechanistic Fermentation Models for Process Design, Monitoring, and Control.
Lisa Mears1, Stuart M Stocks2, Mads O Albaek1
1Novozymes A/S, Krogshoejvej 36, Bagsværd, Denmark.
Trends in Biotechnology
|August 26, 2017
Summary
Mechanistic models offer valuable applications across fermentation process development stages, from planning to control. Despite longer development, their adaptability and collaborative potential make them a worthwhile investment for research and development.
Area of Science:
- Biotechnology and biochemical engineering
- Process modeling and simulation
Background:
- Mechanistic models demand significant time and resources.
- Their application can span multiple stages of fermentation process development and operation.
Purpose of the Study:
- To discuss the adaptation of established fermentation models for various development stages.
- To highlight the value of mechanistic models in fermentation research and development.
Main Methods:
- Adaptation of established mechanistic fermentation models.
- Application across different fermentation process development stages: planning, process design, monitoring, and control.
Main Results:
- Mechanistic models, despite longer development times compared to data-based methods, offer wide-ranging applications.
- They serve as a valuable tool for fermentation research and development.
Conclusions:
- Investing in mechanistic models is highly valuable due to their broad applicability.
- Developing mechanistic models fosters knowledge sharing and consolidates process understanding in research environments.
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