Application of Deep-Learning Algorithm Driven Intelligent Raman Spectroscopy Methodology to Quality Control in the Manufacturing Process of Guanxinning Tablets

Application of Deep-Learning Algorithm Driven Intelligent Raman Spectroscopy Methodology to Quality Control in the Manufacturing Process of Guanxinning Tablets

Coupled with the convolutional neural network (CNN), an intelligent Raman spectroscopy methodology for rapid quantitative analysis of four pharmacodynamic substances and soluble solid in the manufacture process of Guanxinning tablets was established. Raman spectra of 330 real samples were collected...

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Bibliographic Details
Main Authors: Yi Tao, Jiaqi Bao, Qing Liu, Li Liu, Jieqiang Zhu
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Molecules
Subjects:
Guanxinning tablets
Raman spectroscopy
convolutional neural network
process analytical chemistry
extraction process monitoring
intelligent process analysis
Online Access:https://www.mdpi.com/1420-3049/27/20/6969

Internet

https://www.mdpi.com/1420-3049/27/20/6969

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