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Updated: Nov 11, 2025
09:28
Process Optimization using High Throughput Automated Micro-Bioreactors in Chinese Hamster Ovary Cell Cultivation
Published on: May 18, 2020
8.9K
[New opportunities and challenges for hybrid data and model driven bioprocess optimization and scale-up]
Guan Wang1,2,3, Xiwei Tian1,2,3, Jianye Xia1,2,3
1State Key Laboratory of Bioreactor Engineering, Shanghai 200237, China.
Summary
Biomanufacturing faces challenges in process monitoring, cell metabolism understanding, and scale-up. Innovations in real-time detection, dynamic regulation, and rational scale-up are crucial for efficient green biomanufacturing.
Area of Science:
- Biotechnology
- Bioprocess Engineering
- Industrial Microbiology
Background:
- Biomanufacturing is gaining global attention but faces significant hurdles.
- Key challenges include inadequate process detection, limited understanding of cell metabolism, and inefficient scale-up due to differing reactor environments.
Purpose of the Study:
- To address critical issues in bioprocess optimization and scale-up.
- To summarize key technological innovations across the fermentation process chain.
Main Methods:
- Real-time detection of key indicators and parameters.
- Dynamic regulation based on metabolic understanding.
- Rational scale-up strategies considering reactor environment differences.
Main Results:
- Case analysis of integrated technological innovations.
- Demonstration of improved efficiency in stepwise scale-up.
- Advancement towards intelligent production through integrated approaches.
Conclusions:
- Future bioprocess design will integrate in-silico models (metabolic and CFD) for computer-aided development.
- These advancements will accelerate large-scale intelligent production.
- This integrated approach heralds a new era of green biomanufacturing.
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