高等学校化学学报

高等学校化学学报

• 研究论文 • 上一篇    下一篇

交互移动窗口因子分析法(AMWFA)用于二维数据重叠色谱峰的比较分析

易伦朝, 梁逸曾, 曾仲大, 袁大林, 王平   

  1. 中南大学化学化工学院中药现代化研究所, 长沙 410083
  • 收稿日期:2005-12-30 修回日期:1900-01-01 出版日期:2006-11-10 发布日期:2006-11-10
  • 通讯作者: 梁逸曾

AMWFA Method Applied to Comparative Analysis of Two-dimensional Data with Overlapped Peaks

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

  1. Research Center of Modernization of Chinese Medicines, College of Chemistry and Chemical Engineering, Central South University, Changsha 410083, China
  • Received:2005-12-30 Revised:1900-01-01 Online:2006-11-10 Published:2006-11-10
  • Contact: LIANG Yi-Zeng

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被引次数

77

摘要： 采用交互移动窗口因子分析法(AMWFA), 通过挖掘两个体系中的选择性信息, 获得了不同样本间的共有组分数, 还同时得到了各物质对应的光谱或质谱信息. 详细阐述了本法的原理和计算方法, 并用一个模拟的GC-MS 数据对方法进行了验证.

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

Abstract: In "OMICS" researches, comparison study of components present in different complex systems is very difficult because of the existence of many overlapped peaks. Herein, a new method, named alternative moving window factor analysis(AMWFA), was proposed, which is the combination and development of multicomponent spectral correlative chromatography(MSCC) and subwindow factor analysis(SFA). The method could be utilized to determine the number of common components of different samples and resolve overlapped peaks using the common selective information hiding in two data matrixes. The advantages of AMWFA are its extensive adaptability to the systems with no or only weak selective information, self-verified to the resolution results, no experienced user request. In this paper, the powerful ability of the proposed method has been proved by the group of simulated GC-MS data.

Key words: Alternative moving window factor analysis(AMWFA), Gas chromatography-mass spectrometry(GC-MS), Comparison analysis

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