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A potentiometric electronic tongue as a discrimination tool of water-food indicator/contamination bacteria

2021Journal article Open access
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dc.contributor.authorGhrissi, Hiba
dc.contributor.authorVeloso, Ana C.A.
dc.contributor.authorMarx, Ítala
dc.contributor.authorDias, Teresa
dc.contributor.authorPeres, António M.
dc.date.accessioned2018-02-19T10:00:00Z
dc.date.accessioned2021-11-23T11:27:40Z
dc.date.available2018-01-19T10:00:00Z
dc.date.available2021-11-23T11:27:40Z
dc.date.issued2021
dc.description.abstractMicroorganism assessment plays a key role in food quality and safety control but conventional techniques are costly and/or time consuming. Alternatively, electronic tongues (E-tongues) can fulfill this critical task. Thus, a potentiometric lab-made E-tongue (40 lipid sensor membranes) was used to differentiate four common food contamination bacteria, including two Gram positive (Enterococcus faecalis, Staphylococcus aureus) and two Gram negative (Escherichia coli, Pseudomonas aeruginosa). Principal component analysis and a linear discriminant analysis-simulated annealing algorithm (LDA-SA) showed that the potentiometric signal profiles acquired during the analysis of aqueous solutions containing known amounts of each studied bacteria allowed a satisfactory differentiation of the four bacterial strains. An E-tongue-LDA-SA model (12 non-redundant sensors) correctly classified 98 ± 5% of the samples (repeated K-fold-CV), the satisfactory performance of which can be attributed to the capability of the lipid membranes to establish electrostatic interactions/hydrogen bonds with hydroxyl, amine and/or carbonyl groups, which are comprised in the bacteria outer membranes. Furthermore, multiple linear regression models, based on selected subsets of E-tongue sensors (12–15 sensors), also allowed quantifying the bacteria contents in aqueous solutions (0.993 ± 0.011 ≤ R2 ≤ 0.998 ± 0.005, for repeated K-fold-CV). In conclusion, the E-tongue could be of great value as a preliminary food quality and safety diagnosis tool.en_EN
dc.description.sponsorshipThe authors are grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support by national funds FCT/MCTES to CIMO (UIDB/00690/2020) and to CEB (UIDB/04469/2020), as well as to the BioTecNorte operation (NORTE-01-0145-FEDER-000004) funded by the European Regional Development Fund under the scope of Norte2020—Programa Operacional Regional do Norte. Ítala M.G. Marx also acknowledges the Ph.D. research grant (SFRH/BD/137283/2018) provided by FCT.
dc.description.versioninfo:eu-repo/semantics/publishedVersionen_EN
dc.identifier.citationGhrissi, Hiba; Veloso, Ana C.A.; Marx, Ítala M.G.; Dias, Teresa; Peres, António M. (2021). A potentiometric electronic tongue as a discrimination tool of water-food indicator/contamination bacteria. Chemosensors. ISSN 2227-9040. 9:6, p. 1-15en_EN
dc.identifier.doi10.3390/chemosensors9060143en_EN
dc.identifier.urihttp://hdl.handle.net/10198/24330
dc.language.isoeng
dc.peerreviewedyesen_EN
dc.relationMountain Research Center
dc.relationCentre of Biological Engineering of the University of Minho
dc.relationImprovement of olive oil flavor and bioactive composition by optimizing industrial extraction using taste sensor devices
dc.subjectChemometricsen_EN
dc.subjectElectronic tongueen_EN
dc.subjectFood-water bacteriaen_EN
dc.subjectLinear discriminant analysisen_EN
dc.subjectLipid sensor membranesen_EN
dc.subjectPotentiometric analysisen_EN
dc.subjectPrincipal component analysisen_EN
dc.subjectSimulated annealing variable selection algorithmen_EN
dc.titleA potentiometric electronic tongue as a discrimination tool of water-food indicator/contamination bacteriaen_EN
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleMountain Research Center
oaire.awardTitleCentre of Biological Engineering of the University of Minho
oaire.awardTitleImprovement of olive oil flavor and bioactive composition by optimizing industrial extraction using taste sensor devices
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00690%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04469%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/POR_NORTE/SFRH%2FBD%2F137283%2F2018/PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStreamPOR_NORTE
person.familyNameMarx
person.familyNameDias
person.familyNamePeres
person.givenNameÍtala
person.givenNameTeresa
person.givenNameAntónio M.
person.identifier1676851
person.identifier142703
person.identifier107333
person.identifier.ciencia-id2717-C420-DEAE
person.identifier.ciencia-idCF16-5443-F420
person.identifier.orcid0000-0002-7049-2114
person.identifier.orcid0000-0002-9419-9561
person.identifier.orcid0000-0001-6595-9165
person.identifier.ridGLV-5485-2022
person.identifier.ridI-8470-2012
person.identifier.scopus-author-id57191503603
person.identifier.scopus-author-id56830642600
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.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.typearticleen_EN
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