Near infrared spectroscopy is suitable for the classification of hazelnuts according to Protected Designation of Origin

作者：Moscetti Roberto; Radicetti Emanuele; Monarca Danilo; Cecchini Massimo; Massantini Riccardo^*

来源：Journal of the Science of Food and Agriculture, 2015, 95(13): 2619-2625.

DOI：10.1002/jsfa.6992

• Corylus avellana L
• cultivars
• discriminant analysis
• chemometrics
• non-destructive techniques

BACKGROUNDThis study investigates the possibility of using near infrared spectroscopy for the authentication of the Nocciola Romana' hazelnut (Corylus avellana L. cvs Tonda Gentile Romana and Nocchione) as a Protected Designation of Origin (PDO) hazelnut from central Italy. Algorithms for the selection of the optimal pretreatments were tested in combination with the following discriminant routines: k-nearest neighbour, soft independent modelling of class analogy, partial least squares discriminant analysis and support vector machine discriminant analysis.
RESULTSThe best results were obtained using a support vector machine discriminant analysis routine. Thus, classification performance rates with specificities, sensitivities and accuracies as high as 96.0%, 95.0% and 95.5%, respectively, were achieved. Various pretreatments, such as standard normal variate, mean centring and a Savitzky-Golay filter with seven smoothing points, were used. The optimal wavelengths for classification were mainly correlated with lipids, although some contribution from minor constituents, such as proteins and carbohydrates, was also observed.
CONCLUSIONNear infrared spectroscopy could classify hazelnut according to the PDO Nocciola Romana' designation. Thus, the experimentation lays the foundations for a rapid, online, authentication system for hazelnut. However, model robustness should be improved taking into account agro-pedo-climatic growing conditions.

• 出版日期2015-10