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山东大学学报(医学版) ›› 2012, Vol. 50 ›› Issue (8): 68-72.

• 基础医学 • 上一篇    下一篇

乙肝颗粒的HPLC指纹图谱-模式识别

吕青涛1,仲晓宁2,容蓉1,张兆旺1,孙秀梅1   

  1. 1.山东中医药大学药学院, 济南 250355; 2.烟台动物疫病预防控制中心, 山东 烟台 264003
  • 收稿日期:2012-02-13 出版日期:2012-08-10 发布日期:2012-08-10
  • 作者简介:吕青涛(1965- ),男,博士,副教授,主要从事天然药物化学成分及其化学分析的研究。

HPLC fingerprint-pattern recognition of Yigan granules

L Qing-tao1, ZHONG Xiao-ning2, RONG Rong1, ZHANG Zhao-wang1, SUN Xiu-mei1   

  1. 1. Pharmaceutical College, Shandong University of Traditional Chinese Medicine, Jinan 250355, China;
    2. Yantai Animal Disease Prevention and Control Center, Yantai 264003, Shandong, China
  • Received:2012-02-13 Online:2012-08-10 Published:2012-08-10

摘要:

目的    利用高效液相色谱(HPLC)指纹图谱-模式识别技术,评价乙肝颗粒“半仿生提取”条件和药材提取组合方式。方法   采用不同来源的乙肝颗粒方药药材,以不同的提取方法、提取组合和投料量分别提取。测定提取液的HPLC指纹图谱,结合模式识别技术,比较不同的提取方式。结果   不同组合方式和提取条件下获得的提取液化学模式有一定差异,已优选出的“半仿生提取”工艺和药材组合方式优于其他组合。结论   HPLC指纹图谱-模式识别技术能较好地评价乙肝颗粒的提取工艺,并可用于监控提取液的质量。

关键词: 乙肝颗粒;半仿生提取;模式识别;高效液相色谱;指纹图谱

Abstract:

Objective   To evaluate the “semibionic extraction (SBE)” condition and extracting combinations of Yigan granules by HPLC fingerprint-pattern recognition technology. Methods   Extractions of Yigan granules were prepared with prescription medicines from different sources by changing extraction methods, extracting combinations and medicine contents. HPLC fingerprint of each extraction was measured, followed by a comparative study on different extraction methods through pattern recognition technology. Results   Chemical patterns of the extracts were obviously different according to extraction conditions and extracting combinations, while the optimized “SBE” condition and combination were better than the others. Conclusion   HPLC fingerprint-pattern recognition technology is preferable for evaluating the extraction methods of Yigan granules, which can be used to monitor the quality of extracts.

Key words: Yigan granules; Semibionic extraction; Pattern recognition; HPLC; Fingerprint

中图分类号: 

  • R927-11
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