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http://hdl.handle.net/2445/169229
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DC Field | Value | Language |
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dc.contributor.author | Melucci, Dora | - |
dc.contributor.author | Bendini, Alessandra | - |
dc.contributor.author | Tesini, Federica | - |
dc.contributor.author | Barbieri, Sara | - |
dc.contributor.author | Zappi, Alessandro | - |
dc.contributor.author | Vichi, S. (Stefania) | - |
dc.contributor.author | Conte, Lanfranco | - |
dc.contributor.author | Gallina Toschi, Tullia | - |
dc.date.accessioned | 2020-07-22T06:53:55Z | - |
dc.date.available | 2020-07-22T06:53:55Z | - |
dc.date.issued | 2016 | - |
dc.identifier.issn | 0308-8146 | - |
dc.identifier.uri | http://hdl.handle.net/2445/169229 | - |
dc.description.abstract | At present, the geographical origin of extra virgin olive oils can be ensured by documented traceability, although chemical analysis may add information that is useful for possible confirmation. This preliminary study investigated the effectiveness of flash gas chromatography electronic nose and multivariate data analysis to perform rapid screening of commercial extra virgin olive oils characterized by a different geographical origin declared in the label. A comparison with solid phase micro extraction coupled to gas chromatography mass spectrometry was also performed. The new method is suitable to verify the geographic origin of extra virgin olive oils based on principal components analysis and discriminant analysis applied to the volatile profile of the headspace as a fingerprint. The selected variables were suitable in discriminating between '100% Italian' and 'non-100% Italian' oils. Partial least squares discriminant analysis also allowed prediction of the degree of membership of unknown samples to the classes examined. | - |
dc.format.extent | 11 p. | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | - |
dc.publisher | Elsevier B.V. | - |
dc.relation.isformatof | Reproducció del document publicat a: https://doi.org/10.1016/j.foodchem.2016.02.131 | - |
dc.relation.ispartof | Food Chemistry, 2016, vol. 204, p. 263-273 | - |
dc.relation.uri | https://doi.org/10.1016/j.foodchem.2016.02.131 | - |
dc.rights | cc-by-nc-nd (c) Melucci, Dora et al., 2016 | - |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es | - |
dc.source | Articles publicats en revistes (Nutrició, Ciències de l'Alimentació i Gastronomia) | - |
dc.subject.classification | Oli d'oliva | - |
dc.subject.classification | Traçabilitat | - |
dc.subject.classification | Denominacions d'origen | - |
dc.subject.classification | Cromatografia de gasos | - |
dc.subject.other | Olive oil | - |
dc.subject.other | Traceability | - |
dc.subject.other | Marks of origin | - |
dc.subject.other | Gas chromatography | - |
dc.title | Rapid direct analysis to discriminate geographic origin of extra virgin olive oils by flash gas chromatography electronic nose and chemometrics | - |
dc.type | info:eu-repo/semantics/article | - |
dc.type | info:eu-repo/semantics/publishedVersion | - |
dc.identifier.idgrec | 661544 | - |
dc.date.updated | 2020-07-22T06:53:55Z | - |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | - |
Appears in Collections: | Articles publicats en revistes (Nutrició, Ciències de l'Alimentació i Gastronomia) |
Files in This Item:
File | Description | Size | Format | |
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661544.pdf | 1.89 MB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License