Near infrared spectral fingerprinting for confirmation of claimed PDO provenance of honey

Near infrared spectral fingerprinting for confirmation of claimed PDO provenance of honey

Near infrared spectral fingerprinting for confirmation of claimed PDO provenance of honey

Near infrared spectroscopic fingerprints of Corsican honey samples were analysed by a range of chemometric tools to confirm their claimed provenance. Authentic, unfiltered honeys (n = 373; 219 Corsican and 154 non-Corsican) were collected over 2 production seasons, the goal being to create a specific spectral fingerprint for Corsican honey. Following preliminary data examination by principal component analysis, the multivariate method studied for provenance confirmation was partial least squares regression; various spectral pre-treatments were investigated. Best PLS discriminant models developed using full cross-validation, a variable selection algorithm and a 2nd derivative data pre-treatment, gave correct classification results of 90.0% and 90.3% for the Corsican and non-Corsican honey samples respectively. Using separate calibration and validation samples from this same honey collection, highest correct classification values of 90.4% and 86.3% for Corsican and non-Corsican honey samples respectively were obtained again using a variable selection procedure

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