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Profiling of passion fruit volatiles: an effective tool to discriminate between species and varieties

2015Journal article Restricted access
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dc.contributor.authorPorto-Figueira, Priscilla
dc.contributor.authorFreitas, Ana
dc.contributor.authorCruz, Catarina J.
dc.contributor.authorFigueira, José
dc.contributor.authorCâmara, José S.
dc.date.accessioned2019-07-22T10:42:28Z
dc.date.available2019-07-22T10:42:28Z
dc.date.issued2015
dc.description.abstractThe aim of this work was to gain insights on the volatile composition of nine passion fruits grown at Madeira Island (Portugal) – Yellow, Purple, Lemon, Orange, Pineapple, Peach, Melon, Banana and Tomato – and discriminate between them. The volatile composition of these fruits has been investigated using the same analytical technique, HS–SPME/GC–MS and multivariate analysis (MVA). The selected SPME methodology (DVB/CAR/PDMS fiber at 40 ± 1 °C for 30 min and 10% (w/w) of NaCl under stirring mode (47 × g)) was applied in the profiling of nine different passion fruit samples by GC–MS, allowing the identification of up to 169 volatile compounds belonging to different chemical groups, namely linear and branched esters, terpenes, alcohols and others. Esters were found to be the dominant metabolites regardless of passion fruit sample, with hexyl hexanoate (ranging from 6 to 31%), methyl hexanoate (14–75%) ethyl hexanoate (12–53%) and hexyl butanoate (11–26%) being the principal volatile compounds found, followed by cis-β-ocimene (from 8 to 55%), (E)-2-hexenal (4 to 10% for Banana and Tomato passion fruit samples) and eucalyptol (18% for Tomato passion fruit). The results revealed that the differences in the volatile profile among the studied passion fruits were essentially qualitative, with only 7 common volatiles found in all samples, in different abundance. Advanced statistical techniques (PCA and PLS-DA) were used to explore data. Characteristic markers were successively identified using the NIST library, thus showing that the volatile profile was able to differentiate all nine species and varieties. Profiling of passion fruit volatile metabolites can provide an effective tool to characterize the product and to extract useful information concerning its quality or geographic origin.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationPorto-Figueira, P., Freitas, A., Cruz, C. J., Figueira, J., & Câmara, J. S. (2015). Profiling of passion fruit volatiles: An effective tool to discriminate between species and varieties. Food Research International, 77, 408-418.
dc.identifier.doi10.1016/j.foodres.2015.09.007pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.13/2493
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.subjectPassion fruitpt_PT
dc.subjectMetabolitespt_PT
dc.subjectSPMEpt_PT
dc.subjectPCApt_PT
dc.subject.pt_PT
dc.subjectFaculdade de Ciências Exatas e da Engenhariapt_PT
dc.subjectCentro de Química da Madeira
dc.titleProfiling of passion fruit volatiles: an effective tool to discriminate between species and varietiespt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/PEst-OE%2FQUI%2FUI0674%2F2014/PT
oaire.citation.endPage418pt_PT
oaire.citation.startPage408pt_PT
oaire.citation.titleFood Research Internationalpt_PT
oaire.citation.volume77pt_PT
oaire.fundingStream5876
person.familyNamePorto-Figueira
person.familyNameFreitas
person.familyNameOliveira Figueira
person.familyNameCâmara
person.givenNamePriscilla
person.givenNameAna Isabel
person.givenNameJosé Aldónio
person.givenNameJosé
person.identifierA-8724-2017
person.identifierG-3003-2013
person.identifier.ciencia-idAD11-4860-FB1B
person.identifier.ciencia-id0B1E-B3DD-95F5
person.identifier.ciencia-id481C-08CE-90E5
person.identifier.orcid0000-0001-7773-182X
person.identifier.orcid0000-0003-2232-2281
person.identifier.orcid0000-0003-3719-9327
person.identifier.orcid0000-0003-1965-3151
person.identifier.scopus-author-id56724173300
person.identifier.scopus-author-id57201813505
person.identifier.scopus-author-id10140393000
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
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