Jump to main content
Jump to site search

Issue 8, 2010
Previous Article Next Article

Alternative moving window factor analysis (AMWFA) for resolution of embedded peaks in complex GC-MS dataset of metabonomics/metabolomics study

Author affiliations

Abstract

Hyphenated instruments, such as GC-MS, have been being widely used in many studies of metabolomics/metabonomics. With the deepening of research, chromatograms become more and more complex and the problem of embedded peaks seems to be ineluctable. In this paper, alternative moving window factor analysis (AMWFA) method is introduced to resolve this problem occurring in metabolomics/metabonomics research. This new method can extract selective information by alternative scanning and comparing between two analytical systems. On the basis of the selective information obtained from chromatograms and spectra of two systems, the AMWFA approach can resolve the embedded peaks in GC-MS responses matrix into pure chromatograms and spectra without any model assumption on the peak shape. The resolution results obtained from one simulated data and two real metabolomics data demonstrate the performance of the proposed approach and indicate that it may be a promising one for analyzing complex data from metabolomics/metabonomics studies.

Graphical abstract: Alternative moving window factor analysis (AMWFA) for resolution of embedded peaks in complex GC-MS dataset of metabonomics/metabolomics study

Back to tab navigation

Publication details

The article was received on 23 Dec 2009, accepted on 11 May 2010 and first published on 21 Jun 2010


Article type: Paper
DOI: 10.1039/B9AY00322C
Citation: Anal. Methods, 2010,2, 1125-1133
  •   Request permissions

    Alternative moving window factor analysis (AMWFA) for resolution of embedded peaks in complex GC-MS dataset of metabonomics/metabolomics study

    D. Yuan, L. Yi, Z. Zeng and Y. Liang, Anal. Methods, 2010, 2, 1125
    DOI: 10.1039/B9AY00322C

Search articles by author

Spotlight

Advertisements