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dc.contributor.authorLima, Adriano Freitas-
dc.contributor.authorOliveira, Wellington da Silva-
dc.contributor.authorGarcia, Aline de Oliveira-
dc.contributor.authorVicente, Eduardo-
dc.contributor.authorGodoy, Helena Teixeira-
dc.date.accessioned2024-03-07T19:46:11Z-
dc.date.available2024-03-07T19:46:11Z-
dc.date.issued2023-
dc.identifier.citationFood Research International, v. 167, 112697, 2023.en
dc.identifier.issn0963-9969-
dc.identifier.urihttp://repositorio.ital.sp.gov.br/jspui/handle/123456789/759-
dc.description.abstractA protocol was optimized to determine the volatile profile from monovarietal virgin olive oil (VOO) by multiple headspace solid-phase microextraction (MHS-SPME) followed by gas chromatography-mass spectrometry (GC–MS) analysis. For this, a Plackett-Burman (PB) and central composite rotational designs (CCRD) were used to define the best condition of extraction. Moreover, fatty acids profile and principal component analysis (PCA) was used to identify markers among the cultivars. The amount of 0.1 g of sample was enough to express the volatile composition of the olive oils by MHS-SPME. Volatile compounds [nonanal, (Z)-3-Hexen-1-ol, (Z)-3- Hexenyl Acetate, Hexyl Acetate, 3-Methylbutyl Acetate, (E)-2-Hexen-1-ol, (E)-2-Hexenyl Acetate] and fatty acids [C17:1, C18, C18:1, C18:2] were those reported such as the markers in the varieties of olive oils. The PCA analysis allowed the classification of the most representative volatiles and fatty acids for each cultivar. Through two principal components was possible to obtain 81.9% of explanation of the variance of the compounds. The compounds were quantified using a validated method. The MHS-SPME combined with multivariate analysis showed a promising tool to identify markers and for the discrimination of olive oil varieties.en
dc.description.sponsorshipCAPES / FAPESPen
dc.language.isoenen
dc.publisherElsevieren
dc.rightsAberto-
dc.subjectOlive oilen
dc.subjectGC–MSen
dc.subjectMHS-SPMEen
dc.subjectVolatile profileen
dc.subjectFatty acidsen
dc.subjectMultivariate analysisen
dc.titleIdentifying markers volatiles in Brazilian virgin oil by multiple headspace solid-phase microextraction, and chemometrics toolsen
dc.typeArticleen
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