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Sugar analysis by a multi-sensor system: applying to honey samples

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dc.contributor.authorDias, L.G.
dc.contributor.authorSousa, Mara E.B.C.
dc.contributor.authorPeres, António M.
dc.contributor.authorMorais, Jorge Sá
dc.contributor.authorEstevinho, Leticia M.
dc.contributor.authorMachado, Adélio A.S.C.
dc.date.accessioned2014-07-31T09:41:08Z
dc.date.available2014-07-31T09:41:08Z
dc.date.issued2012
dc.description.abstractOne of the emerging approaches for analysis of liquid samples with complex matrices is the Electronic Tongue (ET) since it allows evaluating tastes by calibration, mimicking the human tongue. The ET records a pattern of signals that depends on the matrix solution composition, which information is extracted into qualitative and quantitative information by multivariate statistical methods. The chemical sensors used in these devices, usually, differ from those of the traditional chemical sensors because they have the ability to obtain global information about the solution (cross-sensibility sensors, the signal results from sensitization to various substances). Selectiveions sensors (high selectivity for detecting substances) may also be included in the analytical system, allowing cross-information as well as specific information about the sample matrix. Recent works with ET showed the wide range of applications such as, classification of honey (Dias, 2008), detection of milk adulterations (Dias, 2009), detection of protein levels (gliadins) in different foodstuffs (Peres, 2011) and classification of soft drinks accordingly to different added fruit juice contents (Dias, 2011). Moreover, the analytical performance suggests that ETs could have a wider set of applications as, quantification if the substances to be analysed are major compounds in the sample. With the aim of test this hypothesis, an all-solid-state potentiometric ET was developed and has being tested to quantify fructose and glucose contents, which are important constituents of the food products, as an alternative tool for the quantification of these sugars in real samples. Several multivariate data treatments for quantitative analysis of these two sugars (MLR, PLS and others) are considered as well as, their application to the results obtained in honey samples analysis.por
dc.description.sponsorshipCollaboration of the Portuguese National Beekeepers Federation in providing honey samples is gratefully acknowledgedpor
dc.identifier.citationDias, Luís Guimarães; Sousa, Mara E.B.C.; Peres, António M.; Morais, Jorge Sá; Estevinho, Leticia M.; Machado, Adélio A.S.C. (2012). Sugar analysis by a multi-sensor system: applying to honey samples. In II International Symposium on Bee Products. Annual Meeting of the International Honey Comission. Bragança. ISBN 987-972-745-140-1por
dc.identifier.isbn987-972-745-140-1
dc.identifier.urihttp://hdl.handle.net/10198/9984
dc.language.isoporpor
dc.peerreviewedyespor
dc.titleSugar analysis by a multi-sensor system: applying to honey samplespor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceBragança, Portugalpor
oaire.citation.titleII International Symposium on Bee Products. Annual Meeting of the International Honey Comissionpor
person.familyNameDias
person.familyNamePeres
person.familyNameMorais
person.familyNameEstevinho
person.givenNameLuís G.
person.givenNameAntónio M.
person.givenNameJorge Sá
person.givenNameLetícia M.
person.identifier107333
person.identifier.ciencia-id2F11-9092-FAAF
person.identifier.ciencia-idCF16-5443-F420
person.identifier.ciencia-id6E11-BDED-4CB3
person.identifier.ciencia-idBA14-09D6-A406
person.identifier.orcid0000-0002-1210-4259
person.identifier.orcid0000-0001-6595-9165
person.identifier.orcid0000-0002-9249-1948
person.identifier.ridI-8470-2012
person.identifier.scopus-author-id23569169900
person.identifier.scopus-author-id7102331969
person.identifier.scopus-author-id6506577664
rcaap.rightsopenAccesspor
rcaap.typeconferenceObjectpor
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relation.isAuthorOfPublication7d93be47-8dc4-4413-9304-5b978773d3bb
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relation.isAuthorOfPublication.latestForDiscoveryc2ed0055-91c1-4bf5-acb3-d9a99296d9a2

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