A chemometric approach based on Autocovariance Function ( EACVF) computation was found reliable to characterize the complex signals obtained fro GC-MS analysis on aerosol samples. as alternative to the conventional method based on peak integration, In particular, the n-alkane homologous series is characterized using two parameters: Carbon Preference Intex, CPI, and series%, estimating the % abundance relative to total alkane concentration. These two parameters have proven useful chemical markers for tracking the biogenic and anthropogenic origins of n-alkanes.
A chemometric approach based on the AutoCoVariance Function for handling complex signals from environmental monitoring
PIETROGRANDE, Maria Chiara;MERCURIALI, Mattia;MARCHETTI, Nicola;PASTI, Luisa;BACCO, Dimitri;ZANGHIRATI, Gaetano;DONDI, Francesco
2009
Abstract
A chemometric approach based on Autocovariance Function ( EACVF) computation was found reliable to characterize the complex signals obtained fro GC-MS analysis on aerosol samples. as alternative to the conventional method based on peak integration, In particular, the n-alkane homologous series is characterized using two parameters: Carbon Preference Intex, CPI, and series%, estimating the % abundance relative to total alkane concentration. These two parameters have proven useful chemical markers for tracking the biogenic and anthropogenic origins of n-alkanes.File in questo prodotto:
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