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Semi-quantitative and quantitative analysis of soft drinks using an electronic tongue

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dc.contributor.authorDias, L.G.
dc.contributor.authorPeres, António M.
dc.contributor.authorBarcelos, Tânia P.
dc.contributor.authorMorais, Jorge Sá
dc.contributor.authorMachado, Adélio A.S.C.
dc.date.accessioned2011-12-06T14:30:13Z
dc.date.available2011-12-06T14:30:13Z
dc.date.issued2011
dc.description.abstractA potentiometric electronic tongue with 36 cross-sensibility lipo/polymeric membranes was built and applied for semi-quantitative and quantitative analysis of non-alcoholic beverages. A total of 16 commercial fruit juices (e.g., orange, pineapple, mango and peach) from five different brands were studied. In the semi-quantitative approach, the signal profiles recorded by the device were used together with a stepwise linear discriminant analysis to differentiate four beverage groups with different fruit juice contents: >30%, 14–30%, 6–10% and <4%. The model, with two discriminant functions based on the signals of only four polymeric membranes, explained 99% of the total variability of experimental data and was able to classify the studied samples into the correct group with an overall sensibility and specificity of 100% for the original data, and greater than 93% for the cross-validation procedure. The signals were also used to obtain MLR and PLS calibration models to estimate and predict the concentrations of fructose and glucose in the soft drinks. The linear models established were based on the signals recorded by 16 polymeric membranes and were able to estimate and predict satisfactorily (cross-validation) the concentrations of the two sugars (R2 greater than 0.96 and 0.84, respectively).por
dc.description.sponsorshipFinancial support received from FCT, Lisbon, under research projects POCI/QUI/58706/2004 and PPCDT/QUI/58076/2004, is gratefully acknowledgedpor
dc.identifier.citationDias, Luís G.; Peres, António M.; Barcelos, Tânia P.; Sá Morais, Jorge; Machado, Adélio A.S.C. (2011). Semi-quantitative and quantitative analysis of soft drinks using an electronic tongue. Sensors and Actuators B-Chemical. ISSN 0925-4005. 154:2 Special Issue: SI, p. 111-118por
dc.identifier.doi10.1016/j.snb.2010.01.005
dc.identifier.issn0925-4005
dc.identifier.urihttp://hdl.handle.net/10198/6407
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherElsevierpor
dc.subjectElectronic tonguepor
dc.subjectSoft drinkspor
dc.subjectFruit juicepor
dc.subjectFructosepor
dc.subjectGlucosepor
dc.subjectPrincipal components analysispor
dc.titleSemi-quantitative and quantitative analysis of soft drinks using an electronic tonguepor
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage118por
oaire.citation.issue154por
oaire.citation.startPage111por
oaire.citation.titleSensors and Actuators B: Chemicalpor
person.familyNameDias
person.familyNamePeres
person.familyNameMorais
person.givenNameLuís G.
person.givenNameAntónio M.
person.givenNameJorge Sá
person.identifier107333
person.identifier.ciencia-id2F11-9092-FAAF
person.identifier.ciencia-idCF16-5443-F420
person.identifier.ciencia-id6E11-BDED-4CB3
person.identifier.orcid0000-0002-1210-4259
person.identifier.orcid0000-0001-6595-9165
person.identifier.ridI-8470-2012
person.identifier.scopus-author-id23569169900
person.identifier.scopus-author-id7102331969
rcaap.rightsrestrictedAccesspor
rcaap.typearticlepor
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relation.isAuthorOfPublication7d93be47-8dc4-4413-9304-5b978773d3bb
relation.isAuthorOfPublicationc2ed0055-91c1-4bf5-acb3-d9a99296d9a2
relation.isAuthorOfPublication.latestForDiscovery7d93be47-8dc4-4413-9304-5b978773d3bb

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