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Evolving factor analysis in gas chromatography/mass spectrometry—a feasibility study

✍ Scribed by Lisa Roach; Michael Guilhaus

Publisher
John Wiley and Sons
Year
1992
Tongue
English
Weight
502 KB
Volume
27
Category
Article
ISSN
1076-5174

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✦ Synopsis

Evolving factor analysis (EFA) is a promising multivariate technique for model-free computational resolution of overlapping chromatographic peaks when a multi-channel detector is available. Most applications of EFA in chromatography have involved simultaneous UV-visible detection at several wavelengths. This study examines the feasibility of EFA applied to data from gas chromatography/mass spectrometry (CCWS) where there is a very large number of detection channels (nominal masses) and, importantly, where there is a high degree of specificity in the spectra, even for related compounds which most multi-channel spectroscopic techniques cannot effectively distinguish. Potential problems caused by noise and spectral distortion from scanning analysers are addressed and finally the potential applications of GC/MS/EFA are discussed.

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