化工学报2025，Vol.76Issue(8)：3789-3804,16.DOI:10.11949/0438-1157.20250043
化学品生物制造过程机器学习的研究进展
Recent advances in machine learning for biomanufacturing of chemicals
摘要
Abstract
Chemical biomanufacturing process has the advantages of green,low-carbon,environmentally friendly and sustainable,and its role in the chemical industry is becoming increasingly important.However,the biosynthesis monitoring,control and optimization as well as the separation of products during the biomanufacturing processes always have real-time dynamic complexity due to the influences of metabolicregulation and external environmental factors.The complex nonlinear relationships in data from these dynamic processes can be obtained by machine learning methodology without the need for explicit understanding of process mechanisms,which could then be helpful to reveal the bioprocess laws,and thus improve the optimization and prediction of biomanufacturing processes.In this paper,recent advances regarding the machine learning methodology,key algorithms and typical applications in the optimization,monitoring and control of biosynthesis processes,the development of bioseparation processes,and the production of biofuel chemicals,were summarized and analyzed.The challenges to be addressed in further applications of machine learning in the manufacturing process of chemicals were also discussed.关键词
机器学习/生物制造/生物过程工程/生物分离/算法Key words
machine learning/biomanufacturing/bioprocess engineering/bioseparation/algorithm分类
化学化工引用本文复制引用
陈治宏,吴佳伟,楼小玲,贠军贤..化学品生物制造过程机器学习的研究进展[J].化工学报,2025,76(8):3789-3804,16.基金项目
浙江省自然科学基金重大项目(LD21B060001) （LD21B060001）
国家自然科学基金项目(22078296) （22078296）
