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Lipid fingerprinting integrated with deep learning for rapid authentication of 50 seed-derived medicinal herbs: Toward an automated identification platform

文献类型：期刊论文

作者Tang, Zi-jun3,4; An, Ya-ling3; Huang, Fei3; Huang, Yu-shi3; Song, Chun-qian3; Zhao, Wen-jie3; Liu, Xiao-kang3; Li, Zhen-wei3; Feng, Lin3; Fang, Ling3
刊名MICROCHEMICAL JOURNAL
出版日期2025-09-01
卷号216页码:8
关键词Seed-derived medicinal herb Lipid fingerprint 1D-CNN Deep learning Automated identification platform Species discrimination
ISSN号0026-265X
DOI10.1016/j.microc.2025.114714
通讯作者Guo, De-an(daguo@shutcm.edu.cn)
英文摘要Seed-derived medicinal herbs (SDMHs) are rich in lipid components widely applied in food fields, contributing to flavor modulation and lipid metabolism regulation. However, their highly similar morphological features often lead to adulteration and misidentification. In this study, 608 batches from 50 SDMH species were analyzed using high-performance liquid chromatography coupled with evaporative light-scattering detection, which effectively separated fatty acids, phospholipids, and triacylglycerols within 60 min and enabled the construction of a comprehensive lipid fingerprint database. Seven machine learning and one deep learning models were compared, among which a one-dimensional convolutional neural network demonstrated superior performance, achieving 100 % accuracy on the training set and 98.4 % on the test set. Based on this model, an interactive identification platform was developed, integrating herb images, major lipid components, chromatographic fingerprints, and botanical information. The platform enables rapid and accurate authentication of SDMHs and makes it userfriendly to non-specialist users. This study presents a scalable lipid profiling strategy and an intelligent tool for SDMHs quality control and authentication.
WOS关键词OIL
资助项目National Natural Science Foundation of China[82130111] ; Sanming Project of Medicine in Shenzhen[SZZYSM202106004]
WOS研究方向Chemistry
语种英语
WOS记录号WOS:001550884300002
出版者ELSEVIER
源URL[http://119.78.100.183/handle/2S10ELR8/321285]  
专题中国科学院上海药物研究所
通讯作者Guo, De-an
作者单位1.Shanghai Univ Tradit Chinese Med, Shanghai Acad Int Standardizat Tradit Chinese Med, Shanghai 201203, Peoples R China
2.Shenzhen Baoan Authent TCM Therapy Hosp, Shenzhen 518101, Peoples R China
3.Chinese Acad Sci, Zhongshan Inst Drug Discovery, Shanghai Inst Mat Med, Zhongshan 528400, Peoples R China
4.Guangdong Pharmaceut Univ, Sch Pharm, Dept Pharmaceut, East Outer Ring Rd 280, Guangzhou 510006, Guangdong, Peoples R China
推荐引用方式
GB/T 7714		 Tang, Zi-jun,An, Ya-ling,Huang, Fei,et al. Lipid fingerprinting integrated with deep learning for rapid authentication of 50 seed-derived medicinal herbs: Toward an automated identification platform[J]. MICROCHEMICAL JOURNAL,2025,216:8.
APA Tang, Zi-jun.,An, Ya-ling.,Huang, Fei.,Huang, Yu-shi.,Song, Chun-qian.,...&Guo, De-an.(2025).Lipid fingerprinting integrated with deep learning for rapid authentication of 50 seed-derived medicinal herbs: Toward an automated identification platform.MICROCHEMICAL JOURNAL,216,8.
MLA Tang, Zi-jun,et al."Lipid fingerprinting integrated with deep learning for rapid authentication of 50 seed-derived medicinal herbs: Toward an automated identification platform".MICROCHEMICAL JOURNAL 216(2025):8.

入库方式： OAI收割

来源：上海药物研究所

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