色谱

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免疫算法: 一种新的多组分重叠色谱信号的解析方法

邵学广*, 刘智超, 蔡文生   

  1. College of Chemistry, Nankai University, Tianjin 300071, China
  • 收稿日期:2009-06-22 修回日期:2009-07-14 出版日期:2009-09-30 发布日期:1982-03-25
  • 通讯作者: 邵学广

Immune algorithm: a new chemometrics tool for resolution of multicomponent overlapping chromatographic signals

SHAO Xueguang*, LIU Zhichao, CAI Wensheng   

  1. College of Chemistry, Nankai University, Tianjin 300071, China
  • Received:2009-06-22 Revised:2009-07-14 Online:2009-09-30 Published:1982-03-25
  • Contact: SHAO Xueguang

摘要: 色谱及其联用技术的快速发展使其成为复杂样品分析的重要手段,但在复杂样品分析中仍难以避免多组分色谱信号的重叠。化学计量学利用数学方法对复杂重叠信号进行解析,为复杂样品的色谱分析提供了新的手段。本文对免疫算法研究的近期进展进行了总结,并以具体的实例介绍了其在多组分重叠色谱信号解析方面的应用。

关键词: 独立成分分析, 复杂样品 , 化学计量学, 免疫算法, 重叠色谱信号

Abstract: Chromatography and related hyphenated techniques have been one of the most important tools for complex sample analysis. Although advances in equipments and experimental techniques have been achieved, overlapping chromatographic peaks are still unavoidable when complex samples are analyzed. Chemometrics, which uses mathematical tools to deal with the overlapping analytical signals, provides alternative approaches for the resolution of overlapping chromatographic signals. In this review, the advances in the studies of immune algorithms (IAs) are summarized with the applications of the methods in the resolution of multicomponent overlapping chromatographic signals.

Key words: chemometrics, complex sample , immune algorithm, independent component analysis, overlapping chromatographic signals