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Semi‐quantitative discrimination of honey adulterated with cane sugar solution by an ETongue

2022Artigo científico Acesso aberto
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dc.contributor.authorDias, L.G.
dc.contributor.authorBruni, Andressa R.S.
dc.contributor.authorAnizelli, Camilla P.
dc.contributor.authorZangirolami, Marcela de Souza
dc.contributor.authorLima, Patrícia C.
dc.contributor.authorEstevinho, Leticia M.
dc.contributor.authorBona, Evandro
dc.date.accessioned2023-08-03T10:48:25Z
dc.date.available2023-08-03T10:48:25Z
dc.date.issued2022
dc.description.abstractThis study successfully applied a potentiometric E-tongue with 20 cross-selectivity lipidic polymeric membranes in the discrimination of three semi-quantitative groups, that represented the following intervals of honey adulteration percentage with cane sugar: 0 %; [0, 10]%; [10, 20]% of adulteration. We analysed five different types of Portuguese honey; five brands of cane sugar were added to the adulterated samples; a comparative analysis was then performed. Linear discriminant analysis coupled with a tabu search algorithm for feature selection was applied to the ETongue's analytical data to select the best model. A discriminant model with 12 sensors was obtained. This model classified correctly all samples in both in internal (train data, 15 samples) and external validation (test data,10 samples). Also, multiple linear regression with tabu search was applied to verify if ETongue's data would allow quantifying the honey's adulteration level. The results showed that it was possible to obtain a quantitative model but with unsatisfactory predictive performance in the test data group (external validation), giving, in general, values below the expected concentrations. E-tongue is a real-time green, flexible and low-cost analytical tool that requires minimum sample preparation and no special technical skills, being a promising tool for everyday application.pt_PT
dc.description.sponsorshipThis work was carried out in the course of ‘Electronic Tongue and Nose in Food Technology’ of the Master's degree in Food Technology of Universidade Tecnológica Federal do Paraná, Campo Mourão, Brasil. This study was financed in part by Conselho Nacional de Pesquisa e Desenvolvimento Tecnológico (CNPq, 308153/2018‐9) and the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior ‐ Brasil (CAPES) – Finance Code 001. The Portuguese authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for the financial support through national funds FCT/MCTES (PIDDAC) to CIMO (UIDB/00690/2020 and UIDP/00690/2020) and SusTEC (LA/P/0007/2021).pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationDias, L.G.; Bruni, Andressa R.S.; Anizelli, Camilla P.; Zangirolami, Marcela; Lima, Patrícia C.; Estevinho, Leticia M.; Bona, Evandro (2022). Semi‐quantitative discrimination of honey adulterated with cane sugar solution by an ETongue. Chemistry & Biodiversity. ISSN 1612-1872. 19:11, p. 1-12pt_PT
dc.identifier.doi10.1002/cbdv.202200698pt_PT
dc.identifier.eissn1612-1880
dc.identifier.issn1612-1872
dc.identifier.urihttp://hdl.handle.net/10198/28671
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherJohn Wiley & Sonspt_PT
dc.relationLA/P/0007/2021pt_PT
dc.relationMountain Research Center
dc.relationMountain Research Center
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectAdulterated honeypt_PT
dc.subjectLinear discriminant analysispt_PT
dc.subjectMultiple linear regressionpt_PT
dc.subjectPotentiometric E-Tonguept_PT
dc.subjectTabu searchpt_PT
dc.titleSemi‐quantitative discrimination of honey adulterated with cane sugar solution by an ETonguept_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardNumberUIDB/00690/2020
oaire.awardNumberUIDP/00690/2020
oaire.awardTitleMountain Research Center
oaire.awardTitleMountain Research Center
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00690%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F00690%2F2020/PT
oaire.citation.issue11pt_PT
oaire.citation.titleChemistry & Biodiversitypt_PT
oaire.citation.volume19pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameDias
person.familyNameEstevinho
person.givenNameLuís G.
person.givenNameLetícia M.
person.identifier.ciencia-id2F11-9092-FAAF
person.identifier.ciencia-idBA14-09D6-A406
person.identifier.orcid0000-0002-1210-4259
person.identifier.orcid0000-0002-9249-1948
person.identifier.scopus-author-id23569169900
person.identifier.scopus-author-id6506577664
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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relation.isAuthorOfPublication4a1d5ba2-1854-4ca5-89a4-73f35e964df9
relation.isAuthorOfPublication.latestForDiscoveryeac8c166-4056-4ed0-8d8d-7ecb2c4481a5
relation.isProjectOfPublication29718e93-4989-42bb-bcbc-4daff3870b25
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