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Evaluation of the feasibility of the electronic tongue as a rapid analytical tool for wine age prediction and quantification of the organic acids and phenolic compounds. The case-study of Madeira wine

dc.contributor.authorRudnitskaya, A.
dc.contributor.authorRocha, S. M.
dc.contributor.authorLegin, A.
dc.contributor.authorPereira, V.
dc.contributor.authorMarques, J. C.
dc.date.accessioned2021-12-03T15:34:00Z
dc.date.available2021-12-03T15:34:00Z
dc.date.issued2010
dc.description.abstractA set of fourteen Madeira wines comprising wines produced from four Vitis vinifera L. varieties (Bual, Mal vasia, Verdelho and Tinta Negra Mole) that were 3, 6, 10 and 17 years old was analysed using HPLC and an electronic tongue (ET) multisensor system. Concentrations of 24 organic acids, phenolic and furanic compounds were determined by HPLC. The ET consisting of 26 potentiometric chemical sensors with plasticized PVC and chalcogenide glass membranes was used. Significance of the effects of age and vari ety on the ET response and wine composition with respect to the organic acids, phenolics and furanic derivatives were evaluated using ANOVA—Simultaneous Component Analysis (ASCA). Significance of the effects was estimated using a permutation test (1000 permutations). It was found that effects of age, grape variety and their interaction were significant for the HPLC data set and only the effect of age was significant for the ET data. Calibration models of the HPLC and ET data with respect to the wine age and of the ET data with respect to the concentration of the organic acids and phenolics were calculated using PLS1 regression. Models were validated using cross-validation. It was possible to predict wine age from HPLC and ET data with the accuracy in cross-validation of 2.6 and 1.8 years respectively. The ET was capable of detecting the following components (mean relative error in cross-validation is shown in the parentheses): tartaric (8%), citric (5%), formic (12%), protocatehuic (5%), vanillic (18%) and sinapic (14%) acids, catechin (6%), vanillin (12%) and trans-resveratrol (5%). The ET capability of predicting Madeira wine age with good accuracy (1.8 years) as well as quantify of some organic acids and phenolic compounds was demonstrated.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationRudnitskaya, A., Rocha, S. M., Legin, A., Pereira, V., & Marques, J. C. (2010). Evaluation of the feasibility of the electronic tongue as a rapid analytical tool for wine age prediction and quantification of the organic acids and phenolic compounds. The case-study of Madeira wine. Analytica Chimica Acta, 662(1), 82-89. https://doi.org/10.1016/j.aca.2009.12.042pt_PT
dc.identifier.doi10.1016/j.aca.2009.12.042pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.13/3886
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relationELECTRONIC TONGUE SENSOR SYSTEM FOR RAPID ANALYSIS OF LIQUIDS
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectElectronic tonguept_PT
dc.subjectPotentiometric sensorspt_PT
dc.subjectOrganic acidspt_PT
dc.subjectPhenolicspt_PT
dc.subjectMadeira winept_PT
dc.subjectWine agept_PT
dc.subject.pt_PT
dc.subjectEscola Superior de Tecnologias e Gestãopt_PT
dc.subjectFaculdade de Ciências Exatas e da Engenhariapt_PT
dc.titleEvaluation of the feasibility of the electronic tongue as a rapid analytical tool for wine age prediction and quantification of the organic acids and phenolic compounds. The case-study of Madeira winept_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleELECTRONIC TONGUE SENSOR SYSTEM FOR RAPID ANALYSIS OF LIQUIDS
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBPD%2F26617%2F2006/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/SFRH/SFRH%2FBD%2F24177%2F2005/PT
oaire.citation.endPage89pt_PT
oaire.citation.issue1pt_PT
oaire.citation.startPage82pt_PT
oaire.citation.titleAnalytica Chimica Actapt_PT
oaire.citation.volume662pt_PT
oaire.fundingStreamSFRH
person.familyNameRocha
person.familyNamePereira
person.familyNameMarques
person.givenNameSílvia M.
person.givenNameVanda
person.givenNameJose C
person.identifier41146
person.identifier.ciencia-id7B1E-AE7B-1100
person.identifier.ciencia-id0115-071E-87E8
person.identifier.ciencia-id1713-6DA1-A551
person.identifier.orcid0000-0002-0396-3019
person.identifier.orcid0000-0003-0772-8953
person.identifier.orcid0000-0002-4832-4341
person.identifier.ridJ-8697-2013
person.identifier.ridF-3014-2010
person.identifier.scopus-author-id7006653213
person.identifier.scopus-author-id36857887700
person.identifier.scopus-author-id7203033313
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
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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