New opportunities and challenges for hybrid data and model driven bioprocess optimization and scale-up.
- Author:
Guan WANG
1
;
Xiwei TIAN
1
;
Jianye XIA
1
;
Ju CHU
1
;
Siliang ZHANG
1
;
Yingping ZHUANG
1
Author Information
- Publication Type:Journal Article
- Keywords: dynamic regulation; intelligent biomanufacturing; metabolic model; novel sensor; rational scale-up
- MeSH: Bioreactors; Computer Simulation; Fermentation; Hydrodynamics
- From: Chinese Journal of Biotechnology 2021;37(3):1004-1016
- CountryChina
- Language:Chinese
- Abstract: Currently, biomanufacturing technology and industry are receiving worldwide attention. However, there are still great challenges on bioprocess optimization and scale-up, including: lacing the process detection methods, which makes it difficult to meet the requirement of monitoring of key indicators and parameters; poor understanding of cell metabolism, which arouses problems to rationally achieve process optimization and regulation; the reactor environment is very different across the scales, resulting in low efficiency of stepwise scale-up. Considering the above key issues that need to be resolved, here we summarize the key technological innovations of the whole chain of fermentation process, i.e., real-time detection-dynamic regulation-rational scale-up, through case analysis. In the future, bioprocess design will be guided by a full lifecycle in-silico model integrating cellular physiology (spatiotemporal multiscale metabolic models) and fluid dynamics (CFD models). This will promote computer-aided design and development, accelerate the realization of large-scale intelligent production and serve to open a new era of green biomanufacturing.
