首页|期刊导航|药物分析学报（英文）|Integrating biogravimetric analysis and machine learning for systematic studies of botanical materials:From bioactive constituent identification to production area prediction

Integrating biogravimetric analysis and machine learning for systematic studies of botanical materials:From bioactive constituent identification to production area prediction

Sinan Wang Huiru Xiang Xinyuan Pan Jianyang Pan Lu Zhao Yi Wang Shaoqing Cui Yu Tang

药物分析学报（英文）2025，Vol.15Issue(10)：2318-2327,10.

药物分析学报（英文）2025，Vol.15Issue(10)：2318-2327,10.DOI:10.1016/j.jpha.2025.101222

Integrating biogravimetric analysis and machine learning for systematic studies of botanical materials:From bioactive constituent identification to production area prediction

Sinan Wang ¹Huiru Xiang ¹Xinyuan Pan ¹Jianyang Pan ¹Lu Zhao ¹Yi Wang ²Shaoqing Cui ³Yu Tang⁴

作者信息

1. Pharmaceutical Informatics Institute,College of Pharmaceutical Sciences,Zhejiang University,Hangzhou,310058,China
2. Pharmaceutical Informatics Institute,College of Pharmaceutical Sciences,Zhejiang University,Hangzhou,310058,China||Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University,Hangzhou,310018,China||National Key Laboratory of Chinese Medicine Modernization,Innovation Center of Yangtze River Delta,Zhejiang University,Jiaxing,Zhejiang,314100,China
3. Department of Biosystems Engineering and Food Science,Zhejiang University,Hangzhou,310058,China
4. Pharmaceutical Informatics Institute,College of Pharmaceutical Sciences,Zhejiang University,Hangzhou,310058,China||Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University,Hangzhou,310018,China
折叠

摘要

关键词

Biogravimetric analysis/qHNMR/Activity index/Bioactive substance groups/Codonopsis radix

Key words

Biogravimetric analysis/qHNMR/Activity index/Bioactive substance groups/Codonopsis radix

引用本文复制引用

Sinan Wang,Huiru Xiang,Xinyuan Pan,Jianyang Pan,Lu Zhao,Yi Wang,Shaoqing Cui,Yu Tang..Integrating biogravimetric analysis and machine learning for systematic studies of botanical materials:From bioactive constituent identification to production area prediction[J].药物分析学报（英文）,2025,15(10):2318-2327,10.

基金项目

This work was supported by the Project of the National Key Research and Development Program of China(Grant No.:2022YFC3501802),National Natural Science Foundation of China(Grant No.:82204614),and Zhejiang Provincial Basic Public Welfare Research Program(Program No.:LTGC24H280002).The authors wish to thank Xiao Li and Prof.Tianxiang Li(Tianjin University of Traditional Chinese Medicine)for collecting and identifying all the CR samples.We thank Yingniang Li from the Core Facilities,Zhe-jiang University School of Medicine for their technical support. （Grant No.:2022YFC3501802）

药物分析学报（英文）

ISSN：2095-1779

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