高等学校化学学报

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GC-MS与交互移动窗口因子分析法(AMWFA)用于3种陈皮挥发油成分的比较分析

易伦朝, 梁逸曾, 曾仲大, 王平, 袁大林   

  1. 中南大学化学化工学院中药现代化研究中心, 长沙 410083
  • 收稿日期:2005-12-30 修回日期:1900-01-01 出版日期:2006-09-10 发布日期:2006-09-10
  • 通讯作者: 梁逸曾

Comparative Analysis of Volatile Constituents in Chenpi of Different Original Plants by GC-MS and AMWFA

YI Lun-Zhao, LIANG Yi-Zeng, ZENG Zhong-Da, WANG Ping, YUAN Da-Lin   

  1. College of Chemistry and Chemical Engineering, Research Center of Modernization
    of Chinese Medicines, Central South University, Changsha 410083, China
  • Received:2005-12-30 Revised:1900-01-01 Online:2006-09-10 Published:2006-09-10
  • Contact: LIANG Yi-Zeng

摘要: 将GC-MS法与新近提出的用于二维数据比较和解析的交互移动窗口因子分析法(AMWFA)结合, 对3种不同原植物来源的陈皮挥发油成分的共性和差异性进行分析, 并对重叠峰进行解析, 总共分辨出138个峰, 定性出78个峰, 其中共有组分44个.

关键词: 交互移动窗口因子分析法(AMWFA), 陈皮, 气相色谱-质谱联用, 挥发油

Abstract: Components in volatile oils of traditional Chinese medicine are very complex. Many of them are main active ingredients. So, the two-dimensional data of volatile oils obtained by GC-MS form a very complicated analysis system with many verlapped peaks. Alternative moving window factor analysis(AMWFA) is a new method using to comparison and resolution of two-dimensional data. In this paper, GC-MS and AMWFA was combined to analyze the commonness and otherness of volatile oils in three Chenpi samples whose original plants are different. Seventy-eight of the 138 separated constituents in essential oils of Chenpi were identified and quantified by the developed method. There are 44 common components among them.

Key words: Alternative moving window factor analysis(AMWFA), Chenpi, Gas chromato graphy-mass spectrometry(GC-MS), Volatile oils

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