湖北农业科学 ›› 2022, Vol. 61 ›› Issue (7): 103-107.doi: 10.14088/j.cnki.issn0439-8114.2022.07.019

• 检测分析 • 上一篇    下一篇

基于多种分析模式建立壮药材火索藤的HPLC指纹图谱

刘笑1,2, 李林杰1, 王昱涵1, 王志萍1   

  1. 1.广西中医药大学药学院/中药制剂共性技术研发重点实验室,南宁 530200;
    2.广西卫生职业技术学院药学系,南宁 530023
  • 收稿日期:2021-04-27 出版日期:2022-04-10 发布日期:2022-05-04
  • 通讯作者: 王志萍(1965-),女,广西柳州人,教授,主要从事中药、民族药的新剂型、新制剂的研制与开发,(电子信箱)318007460@qq.com。
  • 作者简介:刘 笑(1986-),女,江西玉山人,助教,硕士,主要从事中药、民族药的新剂型、新制剂的研制与开发,(电话)13788686393(电子信箱)119733573@qq.com
  • 基金资助:
    广西科技重大专项(桂科AA18126003); 广西中医药大学2019~2021 年广西一流学科建设开放课题一般项目(2019XK116)

Establishment of HPLC fingerprint of Zhuang medicinal herb Bauhinia aurea based on multiple analysis models

LIU Xiao1,2, LI Lin-jie1, WANG Yu-han1, WANG Zhi-ping1   

  1. 1. School of Pharmacy, Guangxi University of Chinese Medicine/ Key Laboratory of Research and Development of General Technology of Chinese Medicine Preparation, Nanning 530200, China;
    2. Department of Pharmacy, Guangxi Medical College, Nanning 530023, China
  • Received:2021-04-27 Online:2022-04-10 Published:2022-05-04

摘要: 建立不同批次火索藤(Bauhinia aurea Levl.)甲醇提取物的HPLC指纹图谱。采用HPLC法建立指纹图谱,色谱柱为Inertsil ODS-SP C18柱(4.6 mm×250 mm,5 μm);流动相为乙腈-0.1%磷酸水,梯度洗脱;流速为1.0 mL/min;柱温为30 ℃;进样量为10 μL;检测波长为212 nm。分别采用相似性评价、聚类分析、主成分分析方法进行数据分析。研究建立了10批火索藤的HPLC指纹图谱,确定了11个共有峰,指认了其中表儿茶素、金丝桃苷、槲皮苷3种成分,10批火索藤相似度均>0.9,聚类分析与主成分分析结果将不同批次火索藤分为4类。所建立的指纹图谱方法与识别模式稳定可靠,可为该壮药材的质量评价提供依据。

关键词: 壮药材, 火索藤(Bauhinia aurea Levl.), HPLC, 指纹图谱, 聚类分析, 主成分分析

Abstract: To establish HPLC fingerprints of methanolic extract from Bauhinia aurea of different batches. HPLC method was used to establish fingerprints. The chromatographic column was Inertsil ODS-SP C18 column (4.6 mm×250 mm, 5 μm), the mobile phase was gradient acetonitrile-0.1% phosphoric acid solution, the flow rate was 1.0 mL/min, the column temperature was 30 ℃, the injection volumn was 10 μL, and the detection wavelength was 212 nm. Similarity evaluation, cluster analysis and principal component analysis were used for data analysis. The HPLC fingerprints of Bauhinia aurea of 10 batches were established. 11 common peaks were found in the fingerprints, three of them were identified as components epicatechin, hyperoside and quercitin. The similarities of 10 samples were all over 0.9. The results of cluster analysis and principal component analysis were divided different batches of Bauhinia aurea into four categories. The established fingerprint method and analysis models are stable and reliable, which can provide the basis for quality evaluation of this Zhuang medicinal herb.

Key words: Zhuang medicinal herb, Bauhinia aurea, HPLC, fingerprint, cluster analysis, principal component analysis

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