Data-Knowledge-Driven Modeling and Operational Adjustment for the Pharmaceutical Tablet Manufacturing Process via Wet Granulation-Reference-Cited by-同舟云学术

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Data-Knowledge-Driven Modeling and Operational Adjustment for the Pharmaceutical Tablet Manufacturing Process via Wet Granulation

Published:2023-06-29 Issue:27 Volume:8 Page:24441-24453
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Wang Zhengsong¹²^ORCID,Tang Shengnan¹²,Yang Yanqiu³,Chen Yeqiu¹,Yang Le¹²

Affiliation:

1. School of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China

2. College of Information Science and Engineering, Northeastern University, Shenyang 110819, China

3. College of Life and Health Sciences, Northeastern University, Shenyang 110169, China

Funder

Natural Science Foundation of Hebei Province

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Subject

General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acsomega.3c02199

Reference40 articles.

1. Data-Driven Adaptive Quality Control Under Uncertain Conditions for a Cyber-Pharmaceutical-Development System

2. Industry 4.0 for pharmaceutical manufacturing: Preparing for the smart factories of the future

3. Flexible Manufacturing: The Future State of Drug Product Development and Commercialization in the Pharmaceutical Industry

4. Model predictive control in pharmaceutical continuous manufacturing: A review from a user’s perspective

5. Experimental implementation of a Quality-by-Control (QbC) framework using a mechanistic PBM-based nonlinear model predictive control involving chord length distribution measurement for the batch cooling crystallization of l-ascorbic acid

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