分析测试学报2026，Vol.45Issue(6)：1204-1211,8.DOI:10.12452/j.fxcsxb.26012404
人工智能驱动的中药质量控制研究进展
Research Progress on Quality Control of Traditional Chinese Medicine Drived by Artificial Intelligence
摘要
Abstract
The safety and clinical efficacy of traditional Chinese medicine(TCM)are closely related to their quality.However,the complex origin of herbs and significant differences in geo-authenticity lead to the uneven quality of TCM,and the traditional quality control methods have been difficult to meet the complexity and variability of quality assessment.Artificial intelligence(AI),with its power-ful data processing ability,accurate pattern recognition and intelligent decision-making advantages,combined with modern analysis technology,provides a new technical path for the standardization,speed and intelligence of TCM quality testing.This review focuses on AI-driven intelligent detection technology and application scenarios of TCM,introduces common modern analytical techniques and AI core algorithms,outlines the specific application of AI in the quality control of the whole industry chain of TCM from the aspects of authenticity identification,quality grade assessment and harmful substance screening,and analyzes the problems and challenges faced by AI in the field of quality control.This review provides a reference for the construction of a whole-process intelligent quality control system of traditional Chinese medicine and the high-quality development of traditional Chinese medicine industry.关键词
中药/质量控制/人工智能/机器学习/深度学习/数据处理Key words
traditional Chinese medicine/quality control/artificial intelligence/machine learn-ing/deep learning/data processing分类
化学化工引用本文复制引用
田淑峰,麦尔比艳姆·赛买提,范婧怡,王成莹,杨珍,李遇伯..人工智能驱动的中药质量控制研究进展[J].分析测试学报,2026,45(6):1204-1211,8.基金项目
国家中医药管理局青年歧黄学者支持项目 （）
天津市科技局重大专项与工程计划项(25ZXSWSY00410) （25ZXSWSY00410）
