Process analytical technologies and self-optimization algorithms in automated pharmaceutical continuous manufacturing  

作　　者：Peiwen Liu Hui Jin Yan Chen Derong Wang Haohui Yan Mingzhao Wu Fang Zhao Weiping Zhu 

机构地区：[1]State Key Laboratory of Bioreactor Engineering,Shanghai Key Laboratory of Chemical Biology,School of Pharmacy,East China University of Science and Technology,Shanghai 200237,China [2]State Key Laboratory of Chemical Engineering,School of Chemical Engineering,East China University of Science and Technology,Shanghai 200237,China [3]Engineering Research Center of Pharmaceutical Process Chemistry,Ministry of Education,School of Pharmacy,East China University of Science and Technology,Shanghai 200237,China

出　　处：《Chinese Chemical Letters》2024年第3期87-95,共9页中国化学快报（英文版）

基　　金：supported by the National Natural Science Foundation of China(Nos.21808059,21878088,and 21476077);Key Project of the Shanghai Science and Technology Committee(No.18DZ1112703)。

摘　　要：The pharmaceutical industry is now paying increased attention to continuous manufacturing.While the revolution to continuous and automated manufacturing is deepening in most of the top pharma companies in the world,the advancement of automated pharmaceutical continuous manufacturing in China is relatively slow due to some key challenges including the lack of knowledge on the related technologies and shortage of qualified personnels.In this review,emphasis is given to two of the crucial technologies in automated pharmaceutical continuous manufacturing,i.e.,process analytical technology(PAT)and self-optimizing algorithm.Research work published in recent 5 years employing advanced PAT tools and self-optimization algorithms is introduced,which represents the great progress that has been made in automated pharmaceutical continuous manufacturing.

关 键 词：Pharmaceutical continuous manufacturing AUTOMATION Process analytical technology Self-optimization algorithm 

分 类 号：TQ460.6[化学工程—制药化工]