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Process analytical technologies and self-optimization algorithms in automated pharmaceutical continuous manufacturing 被引量:1
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作者 Peiwen Liu Hui Jin +5 位作者 Yan Chen Derong Wang Haohui Yan mingzhao wu Fang Zhao Weiping Zhu 《Chinese Chemical Letters》 SCIE CAS CSCD 2024年第3期87-95,共9页
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,th... 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. 展开更多
关键词 Pharmaceutical continuous manufacturing AUTOMATION Process analytical technology Self-optimization algorithm
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