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A rapid and non-invasive method for authenticating the origin of pistachio samples by NIR spectroscopy and chemometrics

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A rapid and non-invasive method for authenticating the origin of pistachio samples by NIR spectroscopy and chemometrics

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dc.contributor.author Vitale, Raffaele es_ES
dc.contributor.author Bevilacqua, Marta es_ES
dc.contributor.author Bucci, R. es_ES
dc.contributor.author Magrì, A.D. es_ES
dc.contributor.author Magri, A.L. es_ES
dc.contributor.author Marini, F. es_ES
dc.date.accessioned 2016-01-29T08:02:34Z
dc.date.available 2016-01-29T08:02:34Z
dc.date.issued 2013-02-15
dc.identifier.issn 0169-7439
dc.identifier.uri http://hdl.handle.net/10251/60344
dc.description.abstract In this study, near-infrared spectroscopy coupled to chemometrics is used to build an analytical protocol to authenticate the origin of pistachio nuts (Pistacia vera L.), a high value-added food product. In particular, 483 samples from six different origins (Sicily, India, Iran, Syria, Turkey and U.S.A.) were analyzed by NIR spectroscopy. Spectra were recorded on half seeds cut longitudinally in reflectance mode. Spectral data were then processed by chemometrics to build classification models by SIMCA and PLS-DA. The discriminant approach resulted in classification accuracies higher than 90% for most of the classes. On the other hand, SIMCA built class-models with high sensitivity and specificities, the only exception being the two categories Turkey and Iran, whose heterogeneity resulted in a poorer specificity (anyway higher than 80%). In particular, the results obtained for the samples coming from Bronte (Sicily), the only PDO pistachio production in Europe 95.5% non-error rate in PLS-DA, 90% sensitivity and 97% specificity in SIMCA, as evaluated on the external test set are very promising from the viewpoint of the authentication of this product. In general, the results show that the coupling of NIR spectroscopy to chemometric classification techniques can be a valuable tool for tracing the origin of pistachio nuts, providing a reliable authentication in a rapid, relatively cheap and non-invasive way. es_ES
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Chemometrics and Intelligent Laboratory Systems es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Pistachio (Pistacia vera L.) nuts es_ES
dc.subject Near infrared spectroscopy (NIR) es_ES
dc.subject Classification es_ES
dc.subject Partial least squares-discriminant analysis (PLS-DA) es_ES
dc.subject Soft independent modeling of class analogies (SIMCA) es_ES
dc.title A rapid and non-invasive method for authenticating the origin of pistachio samples by NIR spectroscopy and chemometrics es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.chemolab.2012.11.019
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat es_ES
dc.description.bibliographicCitation Vitale, R.; Bevilacqua, M.; Bucci, R.; Magrì, A.; Magri, A.; Marini, F. (2013). A rapid and non-invasive method for authenticating the origin of pistachio samples by NIR spectroscopy and chemometrics. Chemometrics and Intelligent Laboratory Systems. 121:90-99. doi:10.1016/j.chemolab.2012.11.019 es_ES
dc.description.accrualMethod Senia es_ES
dc.relation.publisherversion http://dx.doi.org/10.1016/j.chemolab.2012.11.019 es_ES
dc.description.upvformatpinicio 90 es_ES
dc.description.upvformatpfin 99 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 121 es_ES
dc.relation.senia 255993 es_ES


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