中国中药杂志

2019, v.44(21) 4670-4676

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小花清风藤的HPLC指纹图谱研究
Study on HPLC fingerprint of Sabia parviflora

徐文芬;潘国吉;孙庆文;柏彩红;刘梦鸽;刘趣;杨天锦;
XU Wen-fen;PAN Guo-ji;SUN Qing-wen;BAI Cai-hong;LIU Meng-ge;LIU Qu;YANG Tian-jin;Guizhou University of Traditional Chinese Medicine;

摘要(Abstract):

建立小花清风藤叶部位的HPLC指纹图谱。采用高效液相色谱法,色谱柱为Thermo Accucore-C18(4. 6 mm×150 mm,2. 6μm),以30%四氢呋喃甲醇溶液-乙腈-0. 1%磷酸水溶液梯度洗脱,流速1. 0 m L·min-1,柱温30℃,检测波长360 nm。利用化学计量学方法对色谱数据进行相似度分析、聚类分析和主成分分析。确定了15个共有峰,并指认了其中6个色谱峰。且多数样品的相似度大于0. 710,样品可分为六大类。该法具有良好的精密度、重复性和稳定性,简便可靠,可用于小花清风藤药材质量控制和评价。
This research was performed to establish the HPLC fingerprint of Sabia parviflora. HPLC method was carried out on a Thermo Accucore-C18(4. 6 mm×150 mm,2. 6 μm) column by 30% tetrahydrofuran in methyl alcohol-acetonitrile-0. 1% phosphate solution as mobile phase at a flow rate of 1. 0 m L·min-1,the column temperature was 30 ℃ and the detection wavelength was 360 nm. The fingerprints were further evaluated by chemometrics methods including similarity analysis,hierarchical clustering analysis,and principal component analysis. In HPLC fingerprint,15 common peaks were selected as the common peaks,and 6 contents of them were identified. The similarity degrees of 38 batches of the samples was more than 0. 710,and the samples were divided into 6 clusters by their quality difference. The method was precision,repeatable,stable,simple and reliable,which could be used for quality control and evaluation of S. parviflora.

关键词(KeyWords): 小花清风藤;HPLC;指纹图谱;聚类分析;主成分分析
Sabia parviflora;HPLC;fingerprint;cluster analysis;principal component analysis

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(81560707);; 贵州省国内一流学科(中药学)建设项目(GNYL[2017]008号);; 贵州省普通高等学校工程研究中心项目(黔教合KY字[2017]018);; 贵州省2015年度千层次创新型人才项目(ZQ2015002);; 贵州省优秀青年科技人才项目(黔科合平台人才[2019]5658)

作者(Author): 徐文芬;潘国吉;孙庆文;柏彩红;刘梦鸽;刘趣;杨天锦;
XU Wen-fen;PAN Guo-ji;SUN Qing-wen;BAI Cai-hong;LIU Meng-ge;LIU Qu;YANG Tian-jin;Guizhou University of Traditional Chinese Medicine;

Email:

DOI: 10.19540/j.cnki.cjcmm.20190625.201

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