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.
Pietrogrande, Maria Chiara; Mercuriali, Mattia; Pasti, Luisa; Dondi, Francesco
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/1528747
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