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Updated: Jan 4, 2026
09:28
Process Optimization using High Throughput Automated Micro-Bioreactors in Chinese Hamster Ovary Cell Cultivation
Published on: May 18, 2020
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[Progress in intelligent control of industrial bioprocess]
Xiwei Tian1,2, Guan Wang1,2, Siliang Zhang1,3,2
1School of Biotechnology, East China University of Science and Technology, Shanghai 200237, China.
Sheng Wu Gong Cheng Xue Bao = Chinese Journal of Biotechnology
|November 1, 2019
Summary
This review covers multi-scale optimization for industrial bioprocesses and bio-manufacturing. It explores advanced sensing technologies and intelligent control for enhanced cellular metabolism and data analysis in fermentation.
Area of Science:
- Biotechnology
- Bioprocess Engineering
- Industrial Microbiology
Background:
- Industrial bioprocesses are crucial for bio-manufacturing, relying on a deep understanding of cellular metabolism.
- Optimizing these complex systems requires advanced theoretical and practical approaches.
Purpose of the Study:
- To review the principles and practices of multi-scale optimization in industrial fermentation.
- To explore advancements in sensing technologies and intelligent control for bioprocesses.
Main Methods:
- Review of multi-scale optimization theories and equipment.
- Analysis of on-line sensing technologies for cellular metabolism (macroscopic and intracellular).
- Examination of physiological parameter correlation and big data analysis.
Main Results:
- Established principles for multi-scale optimization in industrial fermentation.
- Highlighted the importance of advanced sensing for monitoring cellular metabolism.
- Demonstrated the potential of intelligent control through big data for bioprocess enhancement.
Conclusions:
- Effective bio-manufacturing hinges on understanding and optimizing cellular metabolism.
- Multi-scale optimization, advanced sensing, and intelligent data analysis are key to improving industrial bioprocesses.
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