超高效液相色谱指纹图谱结合化学模式识别分析艾叶质量  

Quality Analysis of Artemisiae Argyi Folium by Ultra-High Performance Liquid Chromatography Fingerprint with Chemical Pattern Recognition

作　　者：程银水 张勇 秦志旺 董阳 李志浩 郝新才 CHENG Yinshui;ZHANG Yong;QIN Zhiwang;DONG Yang;LI Zhihao;HAO Xincai(Hubei Key Laboratory of Wudang Local Chinese Medicine Research,School of Pharmaceutical Sciences,Hubei University of Medicine,Shiyan 442000,China;Shiyan Huiwen Pharmaceutical Co.,Ltd.,Shiyan 442000,China;Department of Pharmacy,Dongfeng Hospital,Hubei University of Medicine,Shiyan 442008,China)

机构地区：[1]湖北医药学院药学院武当特色中药研究湖北省重点实验室,十堰442000 [2]十堰市惠文药业有限公司,十堰442000 [3]湖北医药学院附属东风医院药学部,十堰442008

出　　处：《理化检验（化学分册）》2023年第7期837-843,共7页Physical Testing and Chemical Analysis(Part B:Chemical Analysis)

基　　金：湖北省科技厅重点研发项目(2020BCB040);湖北省大学生创新创业项目(S202110929052X)。

摘　　要：为艾叶质量控制提供参考,进行了题示方法研究。以不同产地的10批艾叶样品为研究对象,采用超高效液相色谱法(UHPLC)建立指纹图谱,通过与混合标准溶液色谱图比对指认其中的共有峰,利用中药色谱指纹图谱相似度评价系统(2012 A版)进行相似度评价;对UHPLC测定异绿原酸B、异绿原酸C、棕矢车菊素含量进行方法学验证,并定量分析10批样品中这3种成分;采用聚类分析、主成分分析对10批艾叶样品进行化学模式识别。结果表明:由10批艾叶样品指纹图谱得到17个共有峰,指认出其中3个共有峰,分别为异绿原酸B(峰3)、异绿原酸C(峰5)、棕矢车菊素(峰8);异绿原酸B、异绿原酸C、棕矢车菊素的质量在一定范围内与对应的峰面积呈线性关系,检出限(3S/N)为1.0×10^(-5)~8.0×10^(-5)ng,方法学验证结果显示仪器精密度良好,并且该方法稳定性、重复性较好,10批样品中异绿原酸B、异绿原酸C、棕矢车菊素的质量分数分别为0.211 9~2.537 1 mg·g^(-1),0.165 8~3.365 0 mg·g^(-1),0.169 1~0.931 8 mg·g^(-1);相似度评价结果显示,除S3样品外,其余样品的相似度均大于0.900;聚类分析和主成分分析结果一致,均将10批艾叶样品分为两类,S3样品为一类,其余样品为一类。In order to provide reference for quality control of Artemisiae argyi Folium,the study was conducted by the title method mentioned.The fingerprints of 10 batches of Artemisiae argyi Folium samples from different producing regions were established by ultra-high performance liquid chromatography(UHPLC),and the common peaks were identified by comparison with the chromatogram of the mixed standard solution,and the Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine(2012 A edition) was used for similarity evaluation.The method for the determination of isochlorogenic acid B,isochlorogenic acid C and jaceosidin by UHPLC were verified,and the 3 components in 10 batches of samples were quantitatively analyzed.The chemical pattern recognition of 10 batches of Artemisiae argyi Folium samples was carried out by cluster analysis and principal component analysis.It was shown that 17 common peaks were obtained from fingerprints of 10 batches of Artemisiae argyi Folium samples,among which 3 common peaks were identified,that were isochlorogenic acid B(peak 3),isochlorogenic acid C(peak 5) and jaceosidin(peak 8).Linear relationships between masses and peak areas of isochlorogenic acid B,isochlorogenic acid C and jaceosidin were kept in definite ranges,with detection limits(3S/N) in the range of 1.0×10^(-5)-8.0×10^(-5)ng.The results of methodology verification showed that the precision of instrument was good,and the method had good stability and repeatability.The mass fractions of isochlorogenic acid B,isochlorogenic acid C and jaceosidin in 10 batches of samples were in the ranges of 0.211 9-2.537 1 mg·g^(-1),0.165 8-3.365 0 mg·g^(-1) and 0.169 1-0.931 8 mg·g^(-1),respectively.The results of similarity evaluation showed that except S3 sample,the similarities of other samples were greater than 0.900.The results of cluster analysis and principal component analysis were consistent,and 10 batches of Artemisiae argyi Folium samples were divided into two categories.The S3 sample was classifi

关 键 词：艾叶 指纹图谱 超高效液相色谱法(UHPLC) 化学模式识别 

分 类 号：O657.72[理学—分析化学] R284.1[理学—化学]