The paper describes a chemometric approach based on the computation of the autocovariance function from signals of complex GC–MS chromatograms. Information are obtained to characterize the homologous series on n-alkanes as chemical marker to identify organic input source. Applications to environmental samples are reported.
Data handling of complex GC–MS chromatograms: characterization of n-alkane distribution as chemical marker in organic input source identification
PIETROGRANDE, Maria Chiara;MERCURIALI, Mattia;PASTI, Luisa;DONDI, Francesco
2009
Abstract
The paper describes a chemometric approach based on the computation of the autocovariance function from signals of complex GC–MS chromatograms. Information are obtained to characterize the homologous series on n-alkanes as chemical marker to identify organic input source. Applications to environmental samples are reported.File in questo prodotto:
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