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dc.contributor.authorRabhi, Faten-
dc.contributor.authorNarváez-Rivas, Mónica-
dc.contributor.authorBoukhchina, Sadok-
dc.contributor.authorLeón Camacho, Manuel-
dc.date.accessioned2015-11-13T11:37:50Z-
dc.date.available2015-11-13T11:37:50Z-
dc.date.issued2014-
dc.identifierdoi: 10.1007/s12161-014-0051-0-
dc.identifierissn: 1936-976X-
dc.identifier.citationFood Analytical Methods 8: 1710- 1717 (2014)-
dc.identifier.urihttp://hdl.handle.net/10261/125005-
dc.description.abstract© 2014, Springer Science+Business Media New York. n-Alkanes of 15 samples of acorn oil from Quercus ilex and Quercus suber have been analysed by gas chromatography. Oil was extracted in a Soxhlet glass apparatus using petroleum ether as solvent. The unsaponifiable matter was fractionated by high-performance liquid chromatography. Then, the analysis was performed on a capillary DB-5MS column (30 m × 0.25 mm i.d., 0.25 μm film thickness), with hydrogen as carrier gas and using a flame ionization detector. Eicosane was used as internal standard for quantification of individual n-alkanes. Gas chromatography-mass spectrometry (GC-MS) analysis in full scan mode was used for their identification. Ten compounds have been identified in these samples: heneicosane, docosane, tricosane, tetracosane, pentacosane, hexacosane, heptacosane, octacosane, nonacosane and triacontane. By using these compounds as chemical descriptors, pattern recognition techniques, such as principal component analysis and linear discriminant analysis, were applied to find out a suitable classification model and differentiate between Q. ilex and Q. suber genuses. The results showed that these compounds allowed the differentiation of the two genuses with a complete classification.-
dc.description.sponsorshipThe authors are grateful to the Higher Education and Scientific Research Ministry from Republic of Tunisia. This study was supported by project P09-AGR-04789.-
dc.publisherSpringer Nature-
dc.rightsclosedAccess-
dc.titleAuthentication of Quercus Species According to Their n-Alkanes Profile by Off-Line Combination of High-Performance Liquid Chromatography and Gas Chromatography-
dc.typeartículo-
dc.identifier.doi10.1007/s12161-014-0051-0-
dc.date.updated2015-11-13T11:37:51Z-
dc.description.versionPeer Reviewed-
dc.language.rfc3066eng-
dc.relation.csic-
dc.type.coarhttp://purl.org/coar/resource_type/c_6501es_ES
item.openairetypeartículo-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
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