Abstract
An authentication study of the Italian PDO (protected designation of origin) olive oil Chianti Classico, based on near-infrared and UV–Visible spectroscopy, an artificial nose and an artificial tongue, with a set of samples representative of the whole Chianti Classico production and a considerable number of samples from a close production area (Maremma) was performed. The non-specific signals provided by the four fingerprinting analytical techniques, after a proper pre-processing, were used for building class models for Chianti Classico oils. The outcomes of classical class-modelling techniques like soft independent modelling of class analogy and quadratic discriminant analysis—unequal dispersed classes were compared with those of two techniques recently introduced into Chemometrics: multivariate range modelling and CAIMAN analogues modelling methods.
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Financial support by the Italian Ministry of University and Research (MIUR) and by the University of Genoa is gratefully acknowledged.
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Published in the special issue Chemometrics (VII Colloquium Chemiometricum Mediterraneum) with Guest Editors Marcelo Blanco, Juan M. Bosque-Sendra and Luis Cuadros-Rodríguez.
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Oliveri, P., Casale, M., Casolino, M.C. et al. Comparison between classical and innovative class-modelling techniques for the characterisation of a PDO olive oil. Anal Bioanal Chem 399, 2105–2113 (2011). https://doi.org/10.1007/s00216-010-4377-1
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DOI: https://doi.org/10.1007/s00216-010-4377-1