中草药2026，Vol.57Issue(12)：4901-4913,13.DOI:10.7501/j.issn.0253-2670.2026.12.031
当归农药残留分析方法及新型快速检测技术研究进展
Research progress on pesticide residue analysis methods and novel rapid detection technologies for Angelicae Sinensis Radix
摘要
Abstract
Danggui(Angelicae Sinensis Radix),as a bulk genuine medicinal material from Gansu,its quality and safety directly affect clinical efficacy and public health.In recent years,pesticide use during cultivation has led to increasingly prominent residue issues,which have become key risk factors constraining the sustainable development of the industry.Although traditional chromatography-mass spectrometry techniques offer high accuracy,they are limited by heavy reliance on specialized instruments dependency and long analysis cycles,making it difficult to meet the demands for on-site rapid screening and high-throughput detection of large-scale samples.Therefore,the development of fast,sensitive,and convenient novel detection technologies has become a current research priority.This paper systematically reviews the main types of pesticide residues in Angelicae Sinensis Radix,as well as advancements in detection technologies.It focuses on evaluating the principles,characteristics,and application status of emerging technologies based on nanomaterials,biosensing,and molecular imprinting,and discusses the challenges of interference and adaptability in the complex matrix of Angelicae Sinensis Radix.Furthermore,this paper emphasizes that quality control of traditional Chinese medicine must balance"safety"and"effectiveness",analyzes the synergistic relationship between pesticide residue detection and active component analysis,and puts forward technical pathways for their integrated detection.Finally,it outlines the development trends of Angelicae Sinensis Radix pesticide residue detection technologies toward integration,intelligentization,and whole-process traceability,aiming to provide a reference for constructing a fast,accurate,and high-throughput quality monitoring system suitable for the complex matrix of traditional Chinese medicine.关键词
当归/农药残留/快速检测/新型检测技术/活性成分Key words
Angelicae Sinensis Radix/pesticide residues/rapid detection/novel detection technology/active ingredients分类
医药卫生引用本文复制引用
董亚琴,穆希琼,朱田田,张雅娴,李蕊燕,李明露,王艳,晋玲,吴国泰..当归农药残留分析方法及新型快速检测技术研究进展[J].中草药,2026,57(12):4901-4913,13.基金项目
2026年甘肃省高校青年博士"入企入园"项目(2026QB-066) （2026QB-066）
甘肃省联合科研基金重大项目(25JRRA1171) （25JRRA1171）
甘肃省科技重大专项(23ZDFA0131) （23ZDFA0131）
甘肃中医药大学2024年引进人才科研启动基金项目(2025YJRC-10) （2025YJRC-10）
甘肃省科技特派员(基地)专项(23CXNA0043) （基地）
