Article(id=1304388126814789852, tenantId=1146029695717560320, journalId=1302319053441957962, issueId=1304388108988997783, articleNumber=null, orderNo=null, doi=10.7501/j.issn.0253-2670.2026.12.031, pmid=null, cstr=null, oa=null, hot=0, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1768579200000, receivedDateStr=2026-01-17, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1788919963792, onlineDateStr=2026-09-09, pubDate=null, pubDateStr=null, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1788919963792, onlineIssueDateStr=2026-09-09, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1788919963792, creator=13701087609, updateTime=1788919963792, updator=13701087609, issue=Issue{id=1304388108988997783, tenantId=1146029695717560320, journalId=1302319053441957962, year='2026', volume='57', issue='12', pageStart='4509', pageEnd='4948', issueExtLink='null', onlineDate='null', pubDate='1782576000000', pubDateStr='2026-06-28', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1788919959542, creator='13701087609', updateTime=1788923461082, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1304402795579330582, tenantId=1146029695717560320, journalId=1302319053441957962, issueId=1304388108988997783, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1304402795579330583, tenantId=1146029695717560320, journalId=1302319053441957962, issueId=1304388108988997783, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=4901, endPage=4913, ext={EN=ArticleExt(id=1304388127137751262, articleId=1304388126814789852, tenantId=1146029695717560320, journalId=1302319053441957962, language=EN, title=Research progress on pesticide residue analysis methods and novel rapid detection technologies for Angelicae Sinensis Radix, columnId=null, journalTitle=Chinese Traditional and Herbal Drugs, columnName=null, runingTitle=null, highlight=null, articleAbstract=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., authors=DONG Yaqin, MU Xiqiong, ZHU Tiantian, ZHANG Yaxian, LI Ruiyan, LI Minglu, WANG Yan, JIN Ling, WU Guotai, authorsList=DONG Yaqin, MU Xiqiong, ZHU Tiantian, ZHANG Yaxian, LI Ruiyan, LI Minglu, WANG Yan, JIN Ling, WU Guotai, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1304388127049670877, articleId=1304388126814789852, tenantId=1146029695717560320, journalId=1302319053441957962, language=CN, title=当归农药残留分析方法及新型快速检测技术研究进展, columnId=1304140194685415572, journalTitle=中草药, columnName=综述, runingTitle=null, highlight=null, articleAbstract=当归Angelicae Sinensis Radix作为甘肃大宗道地中药材,其质量安全直接影响临床疗效与公众健康。近年来,栽培过程中农药的使用导致其残留问题已成为制约产业可持续发展的关键风险因素。传统的色谱-质谱技术虽具有高准确性,但存在仪器依赖性强、分析周期长等局限,难以满足现场快速筛查与大规模样本高通量检测的需求。因此,发展快速、灵敏、便捷的新型检测技术成为当前研究重点。通过系统综述当归中农药残留的主要类型及检测技术研究进展,重点评述了基于纳米材料、生物传感、分子印迹等新兴技术的原理、特点与应用现状,并探讨了其在当归复杂基质中面临的干扰与适应性挑战。此外,强调了中药质量控制需兼顾“安全性”与“有效性”,分析了农药残留检测与活性成分分析之间的协同关系,提出了二者整合检测的技术路径。最后,展望了当归农药残留检测技术向集成化、智能化及全程溯源化方向的发展趋势,为构建适用于中药复杂基质的快速、精准、高通量质量监控体系提供参考。, authors=董亚琴1, 穆希琼1,2,3, 朱田田1,2,3, 张雅娴1, 李蕊燕1, 李明露1, 王艳1,2,3, 晋玲1,2,3,4, 吴国泰1,2,4, authorsList=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, authorCompany=1 甘肃中医药大学药学院,甘肃 兰州 730000;
2 教育部西北中藏药省部共建协同创新中心,甘肃 兰州 730000;
3 甘肃省珍稀中药资源评价与保护利用工程研究中心,甘肃 兰州 730000;
4 陇药产业创新研究院,甘肃 兰州 730000, correspAuthors=穆希琼, authorNote=董亚琴: 董亚琴,硕士研究生,研究方向为中药资源保护、评价与可持续利用。E-mail:18893073722@163.com, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=hFAoos4OpqJps7FejXM1YA==, pdfFileSize=1659052, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=2026年甘肃省高校青年博士“入企入园”项目 (2026QB-066); 甘肃省联合科研基金重大项目 (25JRRA1171); 甘肃省科技重大专项 (23ZDFA0131); 甘肃中医药大学2024年引进人才科研启动基金项目 (2025YJRC-10); 甘肃省科技特派员(基地)专项 (23CXNA0043))}, authors=[Author(id=1307462323296301462, tenantId=1146029695717560320, journalId=null, articleId=1304388126814789852, orderNo=null, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=null, email=null, emailSecond=null, 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当归农药残留分析方法及新型快速检测技术研究进展
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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
中草药 | 综述 2026,57(12): 4901-4913
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中草药 |综述 2026 , 57 (12) : 4901 -4913
当归农药残留分析方法及新型快速检测技术研究进展
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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
作者信息
通讯作者:
穆希琼
作者简介:
董亚琴: 董亚琴,硕士研究生,研究方向为中药资源保护、评价与可持续利用。E-mail:18893073722@163.com
Research progress on pesticide residue analysis methods and novel rapid detection technologies for Angelicae Sinensis Radix
DONG Yaqin, MU Xiqiong, ZHU Tiantian, ZHANG Yaxian, LI Ruiyan, LI Minglu, WANG Yan, JIN Ling, WU Guotai
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doi: 10.7501/j.issn.0253-2670.2026.12.031
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当归Angelicae Sinensis Radix作为甘肃大宗道地中药材,其质量安全直接影响临床疗效与公众健康。近年来,栽培过程中农药的使用导致其残留问题已成为制约产业可持续发展的关键风险因素。传统的色谱-质谱技术虽具有高准确性,但存在仪器依赖性强、分析周期长等局限,难以满足现场快速筛查与大规模样本高通量检测的需求。因此,发展快速、灵敏、便捷的新型检测技术成为当前研究重点。通过系统综述当归中农药残留的主要类型及检测技术研究进展,重点评述了基于纳米材料、生物传感、分子印迹等新兴技术的原理、特点与应用现状,并探讨了其在当归复杂基质中面临的干扰与适应性挑战。此外,强调了中药质量控制需兼顾“安全性”与“有效性”,分析了农药残留检测与活性成分分析之间的协同关系,提出了二者整合检测的技术路径。最后,展望了当归农药残留检测技术向集成化、智能化及全程溯源化方向的发展趋势,为构建适用于中药复杂基质的快速、精准、高通量质量监控体系提供参考。
当归  /  农药残留  /  快速检测  /  新型检测技术  /  活性成分
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.
Angelicae Sinensis Radix  /  pesticide residues  /  rapid detection  /  novel detection technology  /  active ingredients
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. 中草药, 2026 , 57 (12) : 4901 -4913 . DOI: 10.7501/j.issn.0253-2670.2026.12.031
DONG Yaqin, MU Xiqiong, ZHU Tiantian, ZHANG Yaxian, LI Ruiyan, LI Minglu, WANG Yan, JIN Ling, WU Guotai. Research progress on pesticide residue analysis methods and novel rapid detection technologies for Angelicae Sinensis Radix[J]. Chinese Traditional and Herbal Drugs, 2026 , 57 (12) : 4901 -4913 . DOI: 10.7501/j.issn.0253-2670.2026.12.031

    2026年甘肃省高校青年博士“入企入园”项目 (2026QB-066); 甘肃省联合科研基金重大项目 (25JRRA1171); 甘肃省科技重大专项 (23ZDFA0131); 甘肃中医药大学2024年引进人才科研启动基金项目 (2025YJRC-10); 甘肃省科技特派员(基地)专项 (23CXNA0043)

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2026年第57卷第12期
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  • 接收时间:2026-01-17
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2种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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