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Near infrared spectroscopy and multivariate statistical analysis as rapid tools for the geographical origin assessment of Italian hazelnuts by Giuseppe Sammarco; Chiara Dall’Asta; Michele Suman is a scholarly article available to read on EtoBox.

What is Near infrared spectroscopy and multivariate statistical analysis as rapid tools for the geographical origin assessment of Italian hazelnuts about?

The geographical origin assessment of Italian hazelnuts is nowadays a relevant topic, aimed at the protection of provenience certificates. Near Infrared (NIR) spectroscopy could be a functional candidate for preventing and fighting illegal activities related to this matrix. The present study focuses on the exploitability of the NIR technique on the ‘hazelnut chain’ (fresh, roasted and paste), against the false origin declaration frauds, mainly concerning some of the best Italian varieties (‘Nocciola Piemonte’, ‘Tonda Gentile Romana’, ‘Mortarella’). 216 spectra were recorded, for a total of n = 144 for the training set, and n = 72 for the validation set, considering fresh (n = 57), roasted (n = 107), and paste (n = 52) hazelnuts as different matrices. The training set sample selection was made according to a Design of Experiment (DoE), that considered diverse factors, such as harvesting year, storage shelf life, and presence of peel. The validation set was composed of blended samples generated by mixing Italian and non-Italian ones, and real samples bought from local markets. Multivariate Statistical Analysis was employed for data handling and elaboration, both unsupervised and supe

Author

Giuseppe Sammarco; Chiara Dall’Asta; Michele Suman

Publisher

Elsevier BV

Published

2023

Language

EN