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

^*Corresponding author for this work

East China University of Science and Technology

Research output: Contribution to journal › Review article › peer-review

24 Scopus citations

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.

Original language	English
Article number	108877
Journal	Chinese Chemical Letters
Volume	35
Issue number	3
DOIs	https://doi.org/10.1016/j.cclet.2023.108877
State	Published - Mar 2024
Externally published	Yes

Keywords

Automation
Pharmaceutical continuous manufacturing
Process analytical technology
Self-optimization algorithm

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10.1016/j.cclet.2023.108877

Cite this

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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",

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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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Keywords

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