Principal component analysis of comprehensive three-dimensional gas chromatography time-of-flight mass spectrometry data

Journal of Chromatography Open(2022)

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Abstract
•The first application of PCA to GC3-TOFMS data is provided using a jet fuel dataset.•Vacant 3D modulations are subtracted to re-register the data prior to PCA.•An additional band of compounds is resolved using GC3 relative to GC × GC.•3D PCA loadings are highly useful for visualizing fine chemical differences.•“Pairwise” PCA reveals differences which are drowned out in multi-class model.
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Key words
Comprehensive three-dimensional gas chromatography,Time-of-flight mass spectrometry,Chemometrics,Unsupervised,Principal component analysis
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