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川芎饮片的HPLC指纹图谱建立、聚类分析及偏最小二乘判别分析
引用本文:石海培,包贝华,黄胜良,汪国强,左武朋,严辉,张丽.川芎饮片的HPLC指纹图谱建立、聚类分析及偏最小二乘判别分析[J].中国药房,2019(8):1066-1071.
作者姓名:石海培  包贝华  黄胜良  汪国强  左武朋  严辉  张丽
作者单位:1.南京中医药大学药学院;2.江苏融煜药业有限公司;3.江苏省中药资源产业化过程协同创新中心/中药资源产业化与方剂创新药物国家地方联合工程研究中心
基金项目:国家中药标准化项目(No.ZYBZH-C-JS-34);现代农业产业技术体系建设专项资金资助项目(No.CARS-21)
摘    要:目的:建立川芎饮片的高效液相色谱(HPLC)指纹图谱,并进行聚类分析和偏最小二乘判别(PLS-DA)分析。方法:采用HPLC法,色谱柱为Waters Symmetry C18,流动相为乙腈-0.5%醋酸水溶液(梯度洗脱),流速为1 mL/min,检测波长为254 nm,柱温为30℃,进样量为10μL。以藁本内酯为参照,绘制21批样品(S1~S21)的HPLC图谱;采用《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,确定共有峰;采用SPSS 19.0软件进行聚类分析,并结合PLS-DA分析区分样品。结果:21批样品的HPLC图谱有25个共有峰,并指认了其中9个共有峰;相似度为0.769~0.989,其中基地、传统药用部位样品(S1~S10)相似度均大于0.970。21批样品可聚为3类,S1~S10聚为一类,S15~S16、S19~S20聚为一类,其余聚为一类。PLS-DA分析确定了11个分类标志物,并指认了阿魏酸、阿魏酸松柏酯、正丁基苯酞、藁本内酯、洋川芎内酯A等5个色谱峰,这5个色谱峰可有效区分非市售、基地样品(S1~S10)与市售、非基地样品(S11~S21),与聚类分析结果一致。结论:所建指纹图谱、聚类分析及PLS-DA分析结果可为川芎饮片的质量评价提供参考。

关 键 词:川芎  高效液相色谱法  指纹图谱  聚类分析  偏最小二乘判别分析

Establishment of HPLC Fingerprint,Cluster Analysis and PLS-DA of Ligusticum chuanxiong Decoction Pieces
SHI Haipei,BAO Beihua,HUANG Shengliang,WANG Guoqiang,ZUO Wupeng,YAN Hui,ZHANG Li.Establishment of HPLC Fingerprint,Cluster Analysis and PLS-DA of Ligusticum chuanxiong Decoction Pieces[J].China Pharmacy,2019(8):1066-1071.
Authors:SHI Haipei  BAO Beihua  HUANG Shengliang  WANG Guoqiang  ZUO Wupeng  YAN Hui  ZHANG Li
Institution:(School of Pharmacy,Nanjing University of TCM,Nanjing 210023,China;Jiangsu Rongyu Pharmaceutical Co.,Ltd.,Jiangsu Huai’an 223001,China;Jiangsu Collaborative Innovation Center of Chinese Medicinal Resources Industrialization/National and Local Collaborative Engineering Center of Chinese Medicinal Resources Industrialization and Formulae Innovative Medicine,Nanjing 210023,China)
Abstract:OBJECTIVE:To establish HPLC fingerprints of Ligusticum chuanxiong decoction pieces,and to conduct cluster analysis and PLS-DA analysis. METHODS:HPLC method was adopted. The determination was performed on Waters Symmetry C18 column with mobile phase consisted of acetonitrile-0.5% acetic acid solution(gradient elution)at the flow rate of 1 mL/min. The detection wavelength was set at 254 nm,and the column temperature was 30 ℃. The sample size was 10 μL. Using ligustilide as control,HPLC chromatograms of 21 batches of samples(S1-S20)were determined. The similarity evaluation was conducted by using Similarity Evaluation System for Chromatographic Fingerprint of TCM(2012 edition)to determine common peak. Cluster analysis was conducted by using SPSS 19.0 software and PLS-DA was used to distinguish the samples. RESULTS:There were 25 common peaks in HPLC chromatograms for 21 batches of samples,and 9 common peaks were identified. The similarity of samples was between 0.768-0.989,and the similarity of base and traditional medicinal part samples(S1-S10)were more than 0.970. The 21 batches of samples were clustered into 3 categories,in which S1-S10 were category Ⅰ;S15-S16,S19-S20 were category Ⅱ;other were category Ⅲ. By PLS-DA analysis,11 classification markers were identified as well as 5 chromatogram peaks were identified,such as ferulic acid,pine cyperyl ferulate,n-butyl phthalide,ligustilide,ligustilide A,which could be used to distinguish base and non-markted samples(S1-S10)from marketed and non-base samples(S11-S21),which were consistent with the results of cluster analysis. CONCLUSIONS: Established fingerprint, cluster analysis and PLS-DA analysis can provide reference for quality evaluation of L. chuanxiong decoction pieces.
Keywords:Ligusticum chuanxiong  HPLC  Fingerprint  Cluster analysis  PLS-DA
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