Mesoscale simulation and AI optimization of bioprocesses.

Zhihui WANG; Cong WANG; Qinghua ZHANG; Jianye XIA; Wei CONG; Chao YANG

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Mesoscale simulation and AI optimization of bioprocesses.

Author: Zhihui WANG ¹ ; Cong WANG ² ; Qinghua ZHANG ¹ ; Jianye XIA ³ ; Wei CONG ¹ ; Chao YANG ¹
Author Information

1. State Key Laboratory of Petroleum Molecular & Process Engineering, Institute of Process Engineering, Chinese Academy of Sciences, Beijing 100190, China.
2. School of Chemical & Environmental Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China.
3. Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin 300308, China.
Publication Type:English Abstract
Keywords: artificial intelligence (AI) optimization; bioprocess; computational fluid dynamics; machine learning; mesoscale simulation
MeSH: Artificial Intelligence; Biotechnology/trends*; Computer Simulation
From: Chinese Journal of Biotechnology 2025;41(3):1197-1218
CountryChina
Language:Chinese
Abstract: As green, sustainable, and environmentally friendly material processing processes using biological cells or enzymes to achieve substance conversion, bioprocesses play an increasingly important role in biomanufacturing. It is difficult to optimize bioprocesses because of the complex relationship at multiple levels and multiple scales. The knowledge of mesoscale behaviors is the key to understanding the dynamics of bioprocesses and to sort out the complex relationships of parameter variations in the spatial-temporal domain. Mesoscale numerical simulation paves a way for understanding these phenomena, and the integration of artificial intelligence (AI) and mesoscale simulation offers new vitality into the optimization of bioprocesses. This article reviews the progress in mesoscale simulation and AI optimization of bioprocesses and discusses the possible development directions, aiming to promote the development of this field.