Avola almond is part of the “Traditional Italian Agri-food Product” (PAT) list, as established by The Italian Ministry of agricultural food, forestry and tourism policies; this endorsement testifies its status as a high added-value product, and, consequently, it highlights the need of analytical methodologies suitable for its authentication. For these reasons, in the present study, the possibility of developing a non-destructive approach, aimed at distinguishing almonds cultivated in the Avola area from others presenting a different geographical origin, has been investigated. To fulfil this purpose, 227 almonds, cultivated in the Avola area or in other Italian territories, have been analysed by near infrared (NIR) spectroscopy coupled with Partial Least Squares-Discriminant Analysis (PLS-DA) and Soft Independent Modelling of Class Analogies (SIMCA). The two tested approaches achieved satisfactory results (in external validation) indicating both of them would represent a suitable tool for the purpose of the study. © 2019 Elsevier Inc.

Authentication of “Avola almonds” by near infrared (NIR) spectroscopy and chemometrics / Firmani, Patrizia; Bucci, Remo; Marini, Federico; Biancolillo, Alessandra. - In: JOURNAL OF FOOD COMPOSITION AND ANALYSIS. - ISSN 0889-1575. - 82:(2019). [10.1016/j.jfca.2019.103235]

Authentication of “Avola almonds” by near infrared (NIR) spectroscopy and chemometrics

Firmani, Patrizia;Bucci, Remo;Marini, Federico;Biancolillo, Alessandra
2019

Abstract

Avola almond is part of the “Traditional Italian Agri-food Product” (PAT) list, as established by The Italian Ministry of agricultural food, forestry and tourism policies; this endorsement testifies its status as a high added-value product, and, consequently, it highlights the need of analytical methodologies suitable for its authentication. For these reasons, in the present study, the possibility of developing a non-destructive approach, aimed at distinguishing almonds cultivated in the Avola area from others presenting a different geographical origin, has been investigated. To fulfil this purpose, 227 almonds, cultivated in the Avola area or in other Italian territories, have been analysed by near infrared (NIR) spectroscopy coupled with Partial Least Squares-Discriminant Analysis (PLS-DA) and Soft Independent Modelling of Class Analogies (SIMCA). The two tested approaches achieved satisfactory results (in external validation) indicating both of them would represent a suitable tool for the purpose of the study. © 2019 Elsevier Inc.
2019
near infrared spectroscopy (NIR); classification; authentication; discriminant analysis; PLS-DASIMCA; class-modelling; almonds
01 Pubblicazione su rivista::01a Articolo in rivista
Authentication of “Avola almonds” by near infrared (NIR) spectroscopy and chemometrics / Firmani, Patrizia; Bucci, Remo; Marini, Federico; Biancolillo, Alessandra. - In: JOURNAL OF FOOD COMPOSITION AND ANALYSIS. - ISSN 0889-1575. - 82:(2019). [10.1016/j.jfca.2019.103235]
File allegati a questo prodotto
File Dimensione Formato  
Firmani_Authentication_2019.pdf

solo gestori archivio

Note: https://www.sciencedirect.com/science/article/pii/S0889157519304909?via=ihub
Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 738.63 kB
Formato Adobe PDF
738.63 kB Adobe PDF   Contatta l'autore

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1287373
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 36
  • ???jsp.display-item.citation.isi??? 33
social impact