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Dynamic headspace solid-phase microextraction combined with one-dimensional gas chromatography–mass spectrometry as a powerful tool to differentiate banana cultivars based on their volatile metabolite profile

2012-04Journal article Open access
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dc.contributor.authorPontes, Marisela
dc.contributor.authorPereira, Jorge
dc.contributor.authorCâmara, José S.
dc.date.accessioned2015-12-10T09:24:22Z
dc.date.available2015-12-10T09:24:22Z
dc.date.issued2012-04
dc.description.abstractIn this study the effect of the cultivar on the volatile profile of five different banana varieties was evaluated and determined by dynamic headspace solid-phase microextraction (dHS-SPME) combined with one-dimensional gas chromatography–mass spectrometry (1D-GC–qMS). This approach allowed the definition of a volatile metabolite profile to each banana variety and can be used as pertinent criteria of differentiation. The investigated banana varieties (Dwarf Cavendish, Prata, Maçã, Ouro and Platano) have certified botanical origin and belong to the Musaceae family, the most common genomic group cultivated in Madeira Island (Portugal). The influence of dHS-SPME experimental factors, namely, fibre coating, extraction time and extraction temperature, on the equilibrium headspace analysis was investigated and optimised using univariate optimisation design. A total of 68 volatile organic metabolites (VOMs) were tentatively identified and used to profile the volatile composition in different banana cultivars, thus emphasising the sensitivity and applicability of SPME for establishment of the volatile metabolomic pattern of plant secondary metabolites. Ethyl esters were found to comprise the largest chemical class accounting 80.9%, 86.5%, 51.2%, 90.1% and 6.1% of total peak area for Dwarf Cavendish, Prata, Ouro, Maçã and Platano volatile fraction, respectively. Gas chromatographic peak areas were submitted to multivariate statistical analysis (principal component and stepwise linear discriminant analysis) in order to visualise clusters within samples and to detect the volatile metabolites able to differentiate banana cultivars. The application of the multivariate analysis on the VOMs data set resulted in predictive abilities of 90% as evaluated by the cross-validation procedure.pt_PT
dc.identifier.citationPontes, M., Pereira, J., & Câmara, J. S. (2012). Dynamic headspace solid-phase microextraction combined with one-dimensional gas chromatography–mass spectrometry as a powerful tool to differentiate banana cultivars based on their volatile metabolite profile. Food chemistry, 134(4), 2509-2520.pt_PT
dc.identifier.doi10.1016/j.foodchem.2012.04.087pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.13/944
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.subjectBanana cultivarspt_PT
dc.subjectSolid-phase microextractionpt_PT
dc.subject1D-GC–qMSpt_PT
dc.subjectVolatile organic metabolitespt_PT
dc.subjectMultivariate analysispt_PT
dc.subject.pt_PT
dc.subjectFaculdade de Ciências Exatas e da Engenhariapt_PT
dc.titleDynamic headspace solid-phase microextraction combined with one-dimensional gas chromatography–mass spectrometry as a powerful tool to differentiate banana cultivars based on their volatile metabolite profilept_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage2520pt_PT
oaire.citation.startPage2509pt_PT
oaire.citation.titleFood Chemistrypt_PT
oaire.citation.volume134(4)pt_PT
person.familyNameAugusto Machado Pereira
person.familyNameCâmara
person.givenNameJorge
person.givenNameJosé
person.identifierG-3003-2013
person.identifier.ciencia-idEC12-EE8F-50E8
person.identifier.ciencia-id481C-08CE-90E5
person.identifier.orcid0000-0003-0316-5348
person.identifier.orcid0000-0003-1965-3151
person.identifier.scopus-author-id10140393000
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication2f4d7adf-ab6b-40ab-85d5-73995a784bda
relation.isAuthorOfPublicatione10d78be-e547-4d25-92b5-06a997ed78da
relation.isAuthorOfPublication.latestForDiscovery2f4d7adf-ab6b-40ab-85d5-73995a784bda

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