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Kinetic models in industrial biotechnology - Improving cell factory performance
Joachim Almquist1, Marija Cvijovic2, Vassily Hatzimanikatis3
1Fraunhofer-Chalmers Centre, Chalmers Science Park, SE-412 88 Göteborg, Sweden; Systems and Synthetic Biology, Department of Chemical and Biological Engineering, Chalmers University of Technology, SE-412 96 Göteborg, Sweden.
Kinetic models enhance industrial biotechnology by enabling rational design of cell factories. While challenges remain, these mathematical models offer detailed understanding and prediction for optimizing bioprocesses.
Area of Science:
- Biotechnology
- Biochemical Engineering
- Systems Biology
Background:
- Industrial bioprocesses utilize living cells as "cell factories" for chemical and protein production.
- Mathematical models are crucial for improving the performance of these cell factories.
Purpose of the Study:
- To review the current status of kinetic cell factory modeling in industrial biotechnology.
- To highlight the importance of kinetic models for rational design and process optimization.
Main Methods:
- Review of modeling methodology concepts: network structure, kinetic rate expressions, parameter estimation, optimization, identifiability analysis, model reduction, and validation.
- Discussion of applications of kinetic models for cell factory improvement.
Main Results:
- Kinetic models offer a comprehensive representation of cellular biochemistry, enabling detailed understanding and prediction.
- These models can guide the rational design of cell factory properties and bioprocesses.
Conclusions:
- Kinetic modeling is a powerful tool for industrial biotechnology, despite ongoing challenges for routine application.
- Further development and validation are needed to fully realize the potential of kinetic models in optimizing cell factories and bioprocesses.
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