首页|Process analytical technologies and self-optimization algorithms in automated pharmaceutical continuous manufacturing
Process analytical technologies and self-optimization algorithms in automated pharmaceutical continuous manufacturing
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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 compa-nies 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 technolo-gies 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.
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
State Key Laboratory of Chemical Engineering,School of Chemical Engineering,East China University of Science and Technology,Shanghai 200237,China
Engineering Research Center of Pharmaceutical Process Chemistry,Ministry of Education,School of Pharmacy,East China University of Science and Technology,Shanghai 200237,China
国家自然科学基金国家自然科学基金国家自然科学基金Key Project of the Shanghai Science and Technology Committee
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