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

Peiwen Liu; Hui Jin; Yan Chen; Derong Wang; Haohui Yan; Mingzhao Wu; Fang Zhao; Weiping Zhu

doi:10.1016/j.cclet.2023.108877

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

Peiwen Liu
, Hui Jin
, Yan Chen
, Derong Wang
, Haohui Yan
, Mingzhao Wu
, Fang Zhao^*
, Weiping Zhu

^*此作品的通讯作者

East China University of Science and Technology

科研成果: 期刊稿件 › 文献综述 › 同行评审

29 引用（Scopus）

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.

源语言	英语
文章编号	108877
期刊	Chinese Chemical Letters
卷	35
期	3
DOI	https://doi.org/10.1016/j.cclet.2023.108877
出版状态	已出版 - 3月 2024
已对外发布	是

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title = "Process analytical technologies and self-optimization algorithms in automated pharmaceutical continuous manufacturing",

abstract = "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.",

keywords = "Automation, Pharmaceutical continuous manufacturing, Process analytical technology, Self-optimization algorithm",

author = "Peiwen Liu and Hui Jin and Yan Chen and Derong Wang and Haohui Yan and Mingzhao Wu and Fang Zhao and Weiping Zhu",

note = "Publisher Copyright: {\textcopyright} 2023",

year = "2024",

month = mar,

doi = "10.1016/j.cclet.2023.108877",

language = "英语",

volume = "35",

journal = "Chinese Chemical Letters",

issn = "1001-8417",

publisher = "Elsevier B.V.",

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}

TY - JOUR

T1 - Process analytical technologies and self-optimization algorithms in automated pharmaceutical continuous manufacturing

AU - Liu, Peiwen

AU - Jin, Hui

AU - Chen, Yan

AU - Wang, Derong

AU - Yan, Haohui

AU - Wu, Mingzhao

AU - Zhao, Fang

AU - Zhu, Weiping

PY - 2024/3

Y1 - 2024/3

N2 - 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.

AB - 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.

KW - Automation

KW - Pharmaceutical continuous manufacturing

KW - Process analytical technology

KW - Self-optimization algorithm

UR - https://www.scopus.com/pages/publications/85185264971

U2 - 10.1016/j.cclet.2023.108877

DO - 10.1016/j.cclet.2023.108877

M3 - 文献综述

AN - SCOPUS:85185264971

SN - 1001-8417

VL - 35

JO - Chinese Chemical Letters

JF - Chinese Chemical Letters

IS - 3

M1 - 108877

ER -

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

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