New opportunities and challenges for hybrid data and model driven bioprocess optimization and scale-up / 生物工程学报
Chinese Journal of Biotechnology
;
(12): 1004-1016, 2021.
Artigo
em Chinês
| WPRIM
| ID: wpr-878610
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.
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Simulação por Computador
/
Reatores Biológicos
/
Fermentação
/
Hidrodinâmica
Idioma:
Chinês
Revista:
Chinese Journal of Biotechnology
Ano de publicação:
2021
Tipo de documento:
Artigo
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