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...

詳細記述

書誌詳細

出版年:	Molecules
主要な著者:	Yi Tao, Jiaqi Bao, Qing Liu, Li Liu, Jieqiang Zhu
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2022-10-01
主題:	Guanxinning tablets Raman spectroscopy convolutional neural network process analytical chemistry extraction process monitoring intelligent process analysis
オンライン･アクセス:	https://www.mdpi.com/1420-3049/27/20/6969