Chem. J. Chinese Universities ›› 2013, Vol. 34 ›› Issue (4): 819.doi: 10.7503/cjcu20120991

• Analytical Chemistry • Previous Articles     Next Articles

Rapid Analysis of Complex Samples by GC-MS with Immune Algorithm

MEI Zhen, CAI Wen-Sheng, SHAO Xue-Guang   

  1. Research Center for Analytical Sciences, College of Chemistry, Nankai University, Tianjin 300071, China
  • Received:2012-10-31 Online:2013-04-10 Published:2013-03-18

Abstract:

Immune algorithm(IA) has been proved to be an efficient tool for extracting the information of the components from overlapping signals. Based on IA, a method for rapid analysis of mixture samples via gas chromatography-mass spectrometry(GC-MS) was developed. In the method, the measurement of GC-MS was achieved with a very fast temperature program, and then IA was adopted to obtain the information of each component in the overlapping signal. Taking the mass spectra of all the possible components as the input of the algorithm, the concentration of each component at each retention time can be obtained. The concentrations of all the retention times form the chromatographic profiles of the components. Owing to the character of IA, the extracted concentration for the components that does not really exist in the sample will be zero. GC-MS data of 16-organophosphorus pesticides mixture was investigated by the method. The results show that the chromatographic information of all the components can be extracted from the overlapping signal eluted in 10 min.

Key words: Gas chromatography-mass spectrometry(GC-MS), Rapid analysis, Organophosphorus pesticide, Immune algorithm, Resolution of overlapping peak

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