Abstract

Chemometric analysis of near infrared (NIR) spectroscopy data was applied to investigate the possibility to rapidly detect dry fermented sausages treated with ionizing radiation at 0; 0,5; 1; 2 and 3 kGy. NIR spectra from 1000 to 2500 nm were subjected to an exploratory principal component analysis (PCA) followed by orthogonal partial last square-discriminant analysis (OPLS-DA) to develop classifiers able to distinguish samples according to the irradiation dose.Models provided a correct classification rate of 100% for both irradiated and non-irradiated specimens. As for the different irradiation doses, 100% of sausages treated at 1 and 3 kGy dose, 92% of those at 2 kGy and 83% of those at 0,5 kGy were correctly classified.The successful results obtained confirmed suitability of chemometric analysis applied to NIR data for fast detection of dry fermented sausages subjected to irradiation treatment.

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