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Perception of olive oils sensory defects using a potentiometric taste device

2018Journal article Open access
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dc.contributor.authorVeloso, Ana C.A.
dc.contributor.authorSilva, Lucas M.
dc.contributor.authorRodrigues, Nuno
dc.contributor.authorRebello, Ligia P.G.
dc.contributor.authorDias, L.G.
dc.contributor.authorPereira, J.A.
dc.contributor.authorPeres, António M.
dc.date.accessioned2018-01-25T10:00:00Z
dc.date.accessioned2018-01-29T10:39:32Z
dc.date.available2018-01-25T10:00:00Z
dc.date.available2018-01-29T10:39:32Z
dc.date.issued2018
dc.description.abstractThe capability of perceiving olive oils sensory defects and intensities plays a key role on olive oils quality grade classification since olive oils can only be classified as extra-virgin if no defect can be perceived by a human trained sensory panel. Otherwise, olive oils may be classified as virgin or lampante depending on the median intensity of the defect predominantly perceived and on the physicochemical levels. However, sensory analysis is time-consuming and requires an official sensory panel, which can only evaluate a low number of samples per day. In this work, the potential use of an electronic tongue as a taste sensor device to identify the defect predominantly perceived in olive oils was evaluated. The potentiometric profiles recorded showed that intra- and inter-day signal drifts could be neglected (i.e., relative standard deviations lower than 25%), being not statistically significant the effect of the analysis day on the overall recorded E-tongue sensor fingerprints (P-value = 0.5715, for multivariate analysis of variance using Pillai's trace test), which significantly differ according to the olive oils’ sensory defect (P-value = 0.0084, for multivariate analysis of variance using Pillai's trace test). Thus, a linear discriminant model based on 19 potentiometric signal sensors, selected by the simulated annealing algorithm, could be established to correctly predict the olive oil main sensory defect (fusty, rancid, wet-wood or winey-vinegary) with average sensitivity of 75±3% and specificity of 73±4% (repeated K-fold cross-validation variant: 4 folds×10 repeats). Similarly, a linear discriminant model, based on 24 selected sensors, correctly classified 92±3% of the olive oils as virgin or lampante, being an average specificity of 93±3% achieved. The overall satisfactory predictive performances strengthen the feasibility of the developed taste sensor device as a complementary methodology for olive oils’ defects analysis and subsequent quality grade classification. Furthermore, the capability of identifying the type of sensory defect of an olive oil may allow establishing helpful insights regarding bad practices of olives or olive oils production, harvesting, transport and storage.pt_PT
dc.description.sponsorshipThis work was financially supported by Project POCI-01–0145-FEDER-006984 – Associate Laboratory LSRE-LCM, Project UID/QUI/00616/2013 – CQ-VR, and UID/AGR/00690/2013 – CIMO all funded by FEDER - Fundo Europeu de Desenvolvimento Regional through COMPETE2020 - Programa Operacional Competitividade e Internacionalização (POCI) – and by national funds through FCT - Fundação para a Ciência e a Tecnologia, Portugal. Strategic funding of UID/BIO/04469/2013 unit is also acknowledged. Nuno Rodrigues thanks FCT, POPH-QREN and FSE for the Ph.D. Grant (SFRH/BD/104038/2014).
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationVeloso, Ana C.A.; Silva, Lucas M.; Rodrigues, Nuno; Rebello, Ligia P.G.; Dias, L.G.; Pereira, J.A.; Peres, António M. (2018). Perception of olive oils sensory defects using a potentiometric taste device. Talanta. ISSN 0039-9140.176, p. 610-618
dc.identifier.doi10.1016/j.talanta.2017.08.066pt_PT
dc.identifier.issn0039-9140
dc.identifier.urihttp://hdl.handle.net/10198/15058
dc.language.isoeng
dc.peerreviewedyespt_PT
dc.relationCharacterization of wild and ancient olive trees for its valorization”
dc.subjectOlive oil
dc.subjectSensory analysis
dc.subjectSensory defects
dc.subjectPotentiometric electronic tongue
dc.subjectChemometrics
dc.titlePerception of olive oils sensory defects using a potentiometric taste deviceen_EN
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleCharacterization of wild and ancient olive trees for its valorization”
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FQUI%2F00616%2F2013/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FAGR%2F00690%2F2013/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FBIO%2F04469%2F2013/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBD%2F104038%2F2014/PT
oaire.fundingStream5876
oaire.fundingStream5876
oaire.fundingStream5876
person.familyNameRodrigues
person.familyNameDias
person.familyNamePereira
person.familyNamePeres
person.givenNameNuno
person.givenNameLuís G.
person.givenNameJosé Alberto
person.givenNameAntónio M.
person.identifier107333
person.identifier.ciencia-idF41D-B424-5F78
person.identifier.ciencia-id2F11-9092-FAAF
person.identifier.ciencia-id611F-80B2-A7C1
person.identifier.ciencia-idCF16-5443-F420
person.identifier.orcid0000-0002-9305-0976
person.identifier.orcid0000-0002-1210-4259
person.identifier.orcid0000-0002-2260-0600
person.identifier.orcid0000-0001-6595-9165
person.identifier.ridL-6798-2014
person.identifier.ridI-8470-2012
person.identifier.scopus-author-id55258560600
person.identifier.scopus-author-id23569169900
person.identifier.scopus-author-id57204366348
person.identifier.scopus-author-id7102331969
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccessen_EN
rcaap.typearticlept_PT
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