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, CinziaPrimo
;Cerreto, Antonella;Mannina, Luisa
;Circi, Simone;Vista, Silvia;Capitani, Donatella;SPANO, MATTIA;Marini, FedericoUltimo
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 | Dimensione | Formato | |
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