高等学校化学学报

高等学校化学学报 ›› 2005, Vol. 26 ›› Issue (8): 1410.

• 研究论文 • 上一篇    下一篇

一种测定天然药物活性成分的HPLC-DAD计算分析方法

赵筱萍1,2, 陈闽军1, 程翼宇1   

  1. 1. 浙江大学药学院, 杭州310027;
    2. 浙江医学高等专科学校, 杭州310053
  • 收稿日期:2005-03-17 出版日期:2005-08-10 发布日期:2005-08-10
  • 通讯作者: 程翼宇(1958年出生),男,博士,教授,博士生导师,从事药物分析和药物信息学研究.E-m ail:chengyy@zju.edu.cn E-mail:chengyy@zju.edu.cn
  • 基金资助:

    国家自然科学基金重大研究计划重点项目(批准号:90209005)资助.

A Computational Analysis Method of HPLC-DAD for Determining the Active Components of Natural Medicine

ZHAO Xiao-Ping1,2, CHEN Min-Jun1, CHENG Yi-Yu1   

  1. 1. College of Pharmaceutical Science, Zhejiang University, Hangzhou 310027;
    2. Zhejiang Medical College, Hangzhou 310053, China
  • Received:2005-03-17 Online:2005-08-10 Published:2005-08-10

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被引次数

4

摘要： 将窗口因子分析所得结果作为初值,采用交替迭代进行窗口的自适应优化调整,以迭代逼近方法有效地解决了窗口选择难题.将其用于丹参中丹参酮、隐丹参酮和丹参酮A含量的HPLC-DAD分析测定,加样回收率分别达94.16%,91.57%和104.48%.计算机仿真和模拟中药物质体系的实验结果均表明,本方法分析结果受窗口偏差的影响较小,显著优于经典窗口因子分析法,可推广用于计算解析复杂样品色谱分析中出现的重叠峰.

关键词: 中药分析, HPLC-DAD, 迭代逼近, 窗口因子分析法

Abstract: Window factor analysis(WFA) is an important method used to resolve the overlapping chromatographic peaks by processing HPLC-DAD data. The selection of window is one of the key factors to affect the accuracy of WFA. In this paper, the results obtained by WFA are used as the initial estimation, and then the estimated value is adaptively optimized by an alternative iteration procedure. In this way, a method named iterative fitting windows factor analysis(IFWFA) is proposed. It can correctly select the window for using WFA. Coupled with HPLC-DAD, the proposed method was used to determine tanshinone Ⅰ, cryptotanshinone and tanshinone ⅡA of Salvia miltiorrhiza, and the results show that their recoveries are 94.16%, 91.57% and 104.48%, respectively. Computer simulation and sample analysis experiments both demonstrate that the method is effective for improvement of analytical accuracy.

Key words: Analysis of Chinese Medicine, HPLC-DAD, Iterative fitting, Window factor analysis

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