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

被引:8
|
作者
Liu, Peiwen [1 ]
Jin, Hui [1 ]
Chen, Yan [1 ]
Wang, Derong [1 ]
Yan, Haohui [1 ]
Wu, Mingzhao [1 ]
Zhao, Fang [2 ]
Zhu, Weiping [1 ,3 ]
机构
[1] East China Univ Sci & Technol, Sch Pharm, Shanghai Key Lab Chem Biol, State Key Lab Bioreactor Engn, Shanghai 200237, Peoples R China
[2] East China Univ Sci & Technol, Sch Chem Engn, State Key Lab Chem Engn, Shanghai 200237, Peoples R China
[3] East China Univ Sci & Technol, Sch Pharm, Minist Educ, Engn Res Ctr Pharmaceut Proc Chem, Shanghai 200237, Peoples R China
关键词
Pharmaceutical continuous manufacturing; Automation; Process analytical technology; Self-optimization algorithm; CONTINUOUS-FLOW SYNTHESIS; MULTIVARIATE CALIBRATION; IR SPECTROSCOPY; EXPERIMENTS DOE; WORK-UP; LINE; DESIGN; SYSTEM; PLATFORM; PURIFICATION;
D O I
10.1016/j.cclet.2023.108877
中图分类号
O6 [化学];
学科分类号
0703 ;
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. (c) 2023 Published by Elsevier B.V. on behalf of Chinese Chemical Society and Institute of Materia Medica, Chinese Academy of Medical Sciences.
引用
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页数:9
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