Extra-virgin olive oil (383 samples; EVOOs) of three consecutive harvesting years from nine Italian regions were collected and submitted to an ¹H NMR-chemometric protocol to characterize the samples according to their origin (geographical area and variety). A more complete assignment of the olive oil ¹H spectrum in CDCl₃ and DMSOd₆ was reported identifying 24-methylencycolartanol. A single classification model provided the discrimination of EVOOs among the three geographical macro-areas (North, Islands, Center-South), whereas a hierarchical approach based on breaking the overall classification problem into a series of smaller linear discriminant analysis (LDA) sub-models was tested to differentiate olive oils according to their geographical regions. Specific compounds responsible for olive oil characterization were identified.

Extra-virgin olive oils from nine italian regions: an ¹H NMR-chemometric characterization / Ingallina, Cinzia; Cerreto, Antonella; Mannina, Luisa; Circi, Simone; Vista, Silvia; Capitani, Donatella; Spano, Mattia; Sobolev, Anatoly P; Marini, Federico. - In: METABOLITES. - ISSN 2218-1989. - 9:4(2019). [10.3390/metabo9040065]

Extra-virgin olive oils from nine italian regions: an ¹H NMR-chemometric characterization

Ingallina, Cinzia
Primo
;
Cerreto, Antonella;Mannina, Luisa
;
Circi, Simone;Vista, Silvia;Capitani, Donatella;SPANO, MATTIA;Marini, Federico
Ultimo
2019

Abstract

Extra-virgin olive oil (383 samples; EVOOs) of three consecutive harvesting years from nine Italian regions were collected and submitted to an ¹H NMR-chemometric protocol to characterize the samples according to their origin (geographical area and variety). A more complete assignment of the olive oil ¹H spectrum in CDCl₃ and DMSOd₆ was reported identifying 24-methylencycolartanol. A single classification model provided the discrimination of EVOOs among the three geographical macro-areas (North, Islands, Center-South), whereas a hierarchical approach based on breaking the overall classification problem into a series of smaller linear discriminant analysis (LDA) sub-models was tested to differentiate olive oils according to their geographical regions. Specific compounds responsible for olive oil characterization were identified.
File allegati a questo prodotto
File Dimensione Formato  
Ingallina_Extra-virgin _2019.pdf

accesso aperto

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Creative commons
Dimensione 3.6 MB
Formato Adobe PDF
3.6 MB Adobe PDF Visualizza/Apri PDF

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: http://hdl.handle.net/11573/1281008
Citazioni
  • ???jsp.display-item.citation.pmc??? 6
  • Scopus 16
  • ???jsp.display-item.citation.isi??? 13
social impact