引用本文
  • 喻军,莫建光,陈秋虹,徐慧,刘布鸣.金花茶叶多酚类成分HPLC指纹图谱研究[J].广西科学,2019,26(2):238-244.    [点击复制]
  • YU Jun,MO Jianguang,CHEN Qiuhong,XU Hui,LIU Buming.Study on HPLC Fingerprint of Polyphenols in Camellia nitidissima Chi Leaves[J].Guangxi Sciences,2019,26(2):238-244.   [点击复制]
【打印本页】 【在线阅读全文】【下载PDF全文】 查看/发表评论下载PDF阅读器关闭

←前一篇|后一篇→

过刊浏览    高级检索

本文已被:浏览 677次   下载 441 本文二维码信息
码上扫一扫!
金花茶叶多酚类成分HPLC指纹图谱研究
喻军1, 莫建光2, 陈秋虹2, 徐慧2, 刘布鸣3
0
(1.广西中医药大学药学院, 广西南宁 530001;2.广西壮族自治区分析测试研究中心, 广西南宁 530022;3.广西中医药研究院, 广西南宁 450103)
摘要:
为了建立金花茶叶的HPLC指纹图谱,为评价其质量提供依据,本研究采用HPLC法测定,使用Agilent ZORBAX C18色谱柱(4.6 mm×250 mm,5 μm),以乙腈-0.1%磷酸水溶液为流动相,梯度洗脱,流速1 mL/min,柱温30℃,检测波长254 nm,采用"中药色谱指纹图谱相似度评价系统(2012.1版)"及SPSS软件对10个批次样品进行数据处理,并用UPLC-QTOF-MS对部分共有峰进行初步归属。研究结果表明:10批金花茶叶共标定共有峰10个,通过UPLC-QTOF-MS进一步分析,鉴定出其中5个多酚类成分分别为3'-甲基-鞣花酸-4'-葡萄糖苷、鞣花酸、Okicamellia、3'-甲基鞣花酸、3,4-o,o-次甲基-鞣花酸。10批样品指纹图谱相似度均>0.90。通过聚类分析及主成分分析,将10批样品分为4类。本研究为金花茶药材的全面质量评价提供参考。
关键词:  金花茶  指纹图谱  多酚类成分  聚类分析  主成分分析
DOI:10.13656/j.cnki.gxkx.20181225.012
基金项目:广西壮族自治区直属公益性科研院所基本科研业务费专项(2015ACZ03)资助。
Study on HPLC Fingerprint of Polyphenols in Camellia nitidissima Chi Leaves
YU Jun1, MO Jianguang2, CHEN Qiuhong2, XU Hui2, LIU Buming3
(1.Pharmacy, Guangxi University of Traditional Chinese Medicine, Nanning, Guangxi, 530001, China;2.Guangxi Zhuang Autonomous Region Analysis and Testing Research Center, Nanning, Guangxi, 530022, China;3.Guangxi Traditional Chinese Medicine Research Institute, Nanning, Guangxi, 450103, China)
Abstract:
In order to establish the HPLC fingerprint of the leaves of Camellia sinensis Chi to provide a basis for evaluating its quality, this study was performed by HPLC using an Agilent ZORBAX C18 column (4.6 mm×250 mm, 5 μm) with gradient mobile phase of acetonitrile -0.1% phosphoric acid at a flow rate of 1 mL/min. The detection wavelength was set at 254 nm, and the column temperature was 30℃. Ten batches of Camellia nitidissima Chi samples were processed by similarity evaluation system for chromatographic fingerprint of traditional Chinese medicine (2012.1 Version) and SPSS software, and some common peaks were summarized preliminarily based on the UPLC-QTOF-MS spectra. 10 common peaks were collected from 10 batches of Camellia nitidissima Chi samples, and 5 polyphenolic components were identified by further analysis with UPLC-QTOF-MS, such as 3'-methy-4'-glucoside-ellagic acid,ellagic acid,okicamelliaside,3'-methy ellagic acid,3,4-o,o-methylidyne-ellagic acid. The fingerprint similarity of the 10 batch samples was all higher than 0.90.Samples from different batches were classified into 4 groups based on cluster analysis and principal component analysis. This study provides a reference for the overall quality evaluation of Camellia nitidissima Chi.
Key words:  Camellia nitidissima Chi  fingerprint  polyphenols  cluster analysis  principal component analysis

用微信扫一扫

用微信扫一扫