Publicação
A potentiometric electronic tongue as a discrimination tool of water-food indicator/contamination bacteria
| Resumo: | Microorganism 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. |
|---|---|
| Autores principais: | Ghrissi, Hiba |
| Outros Autores: | Veloso, Ana C.A.; Marx, Ítala; Dias, Teresa; Peres, António M. |
| Assunto: | Chemometrics Electronic tongue Food-water bacteria Linear discriminant analysis Lipid sensor membranes Potentiometric analysis Principal component analysis Simulated annealing variable selection algorithm |
| Ano: | 2021 |
| País: | Portugal |
| Tipo de documento: | artigo |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Instituto Politécnico de Bragança |
| Idioma: | inglês |
| Origem: | Biblioteca Digital do IPB |
| _version_ | 1867173369670008832 |
|---|---|
| author | Ghrissi, Hiba |
| author2 | Veloso, Ana C.A. Marx, Ítala Dias, Teresa Peres, António M. |
| author2_role | author author author author |
| author_facet | Ghrissi, Hiba Veloso, Ana C.A. Marx, Ítala Dias, Teresa Peres, António M. |
| author_role | author |
| contributor_name_str_mv | Biblioteca Digital do IPB |
| country_str | PT |
| creators_json_txt | [{\"Person.name\":\"Ghrissi, Hiba\"},{\"Person.name\":\"Veloso, Ana C.A.\"},{\"Person.name\":\"Marx, Ítala\",\"Person.identifier.orcid\":\"0000-0002-7049-2114\"},{\"Person.name\":\"Dias, Teresa\",\"Person.identifier.orcid\":\"0000-0002-9419-9561\"},{\"Person.name\":\"Peres, António M.\",\"Person.identifier.orcid\":\"0000-0001-6595-9165\"}] |
| datacite.contributors.contributor.contributorName.fl_str_mv | Biblioteca Digital do IPB |
| datacite.creators.creator.creatorName.fl_str_mv | Ghrissi, Hiba Veloso, Ana C.A. Marx, Ítala Dias, Teresa Peres, António M. |
| datacite.date.Accepted.fl_str_mv | 2021-01-01T00:00:00Z |
| datacite.date.available.fl_str_mv | 2018-01-19T10:00:00Z |
| datacite.date.embargoed.fl_str_mv | 2018-01-19T10:00:00Z |
| datacite.rights.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| datacite.subjects.subject.fl_str_mv | Chemometrics Electronic tongue Food-water bacteria Linear discriminant analysis Lipid sensor membranes Potentiometric analysis Principal component analysis Simulated annealing variable selection algorithm |
| datacite.titles.title.fl_str_mv | A potentiometric electronic tongue as a discrimination tool of water-food indicator/contamination bacteria |
| dc.contributor.none.fl_str_mv | Biblioteca Digital do IPB |
| dc.creator.none.fl_str_mv | Ghrissi, Hiba Veloso, Ana C.A. Marx, Ítala Dias, Teresa Peres, António M. |
| dc.date.Accepted.fl_str_mv | 2021-01-01T00:00:00Z |
| dc.date.available.fl_str_mv | 2018-01-19T10:00:00Z |
| dc.date.embargoed.fl_str_mv | 2018-01-19T10:00:00Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://hdl.handle.net/10198/24330 |
| dc.language.none.fl_str_mv | eng |
| dc.rights.none.fl_str_mv | http://purl.org/coar/access_right/c_abf2 |
| dc.subject.none.fl_str_mv | Chemometrics Electronic tongue Food-water bacteria Linear discriminant analysis Lipid sensor membranes Potentiometric analysis Principal component analysis Simulated annealing variable selection algorithm |
| dc.title.fl_str_mv | A potentiometric electronic tongue as a discrimination tool of water-food indicator/contamination bacteria |
| dc.type.none.fl_str_mv | http://purl.org/coar/resource_type/c_6501 |
| description | Microorganism 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. |
| dirty | 0 |
| eu_rights_str_mv | openAccess |
| format | article |
| fulltext.url.fl_str_mv | https://bibliotecadigital.ipb.pt/bitstreams/68908809-8dee-4149-80ff-e07144731b5d/download |
| funding.funder.alternateName_str_mv | FCT FCT FCT |
| funding.funder.identifier_str_mv | http://doi.org/10.13039/501100001871 http://doi.org/10.13039/501100001871 http://doi.org/10.13039/501100001871 |
| funding.funder.name_str_mv | Fundação para a Ciência e a Tecnologia Fundação para a Ciência e a Tecnologia Fundação para a Ciência e a Tecnologia |
| funding.name_str_mv | 6817 - DCRRNI ID 6817 - DCRRNI ID POR_NORTE |
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| person_str_mv | Ghrissi, Hiba Veloso, Ana C.A. Marx, Ítala Marx, Ítala https://www.ciencia-id.pt/2717-C420-DEAE 2717-C420-DEAE http://orcid.org/0000-0002-7049-2114 0000-0002-7049-2114 Dias, Teresa Dias, Teresa http://orcid.org/0000-0002-9419-9561 0000-0002-9419-9561 Peres, António M. Peres, António M. https://www.ciencia-id.pt/CF16-5443-F420 CF16-5443-F420 http://orcid.org/0000-0001-6595-9165 0000-0001-6595-9165 |
| publishDate | 2021 |
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| spelling | engen_ENMicroorganism 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.application/pdfen_ENA potentiometric electronic tongue as a discrimination tool of water-food indicator/contamination bacteriaGhrissi, HibaVeloso, Ana C.A.PersonalMarx, ÍtalaDSpacehttp://dspace.org/items/ea543e4e-b9e9-45f1-afac-dda52dbf0ab8DSpacehttp://dspace.org/items/ea543e4e-b9e9-45f1-afac-dda52dbf0ab8MarxÍtalaCiência IDhttps://www.ciencia-id.pt2717-C420-DEAEORCIDhttp://orcid.org0000-0002-7049-2114Researcher IDhttps://www.researcherid.comGLV-5485-2022Scopus Author IDhttps://www.scopus.com57191503603PersonalDias, TeresaDSpacehttp://dspace.org/items/87c9cae0-314d-4622-ba85-4d3ec5726606DSpacehttp://dspace.org/items/87c9cae0-314d-4622-ba85-4d3ec5726606DiasTeresaORCIDhttp://orcid.org0000-0002-9419-9561Scopus Author IDhttps://www.scopus.com56830642600PersonalPeres, António M.DSpacehttp://dspace.org/items/7d93be47-8dc4-4413-9304-5b978773d3bbDSpacehttp://dspace.org/items/7d93be47-8dc4-4413-9304-5b978773d3bbPeresAntónio M.Ciência IDhttps://www.ciencia-id.ptCF16-5443-F420ORCIDhttp://orcid.org0000-0001-6595-9165Researcher IDhttps://www.researcherid.comI-8470-2012Scopus Author IDhttps://www.scopus.com7102331969HostingInstitutionOrganizationalBiblioteca Digital do IPBe-mailmailto:dspace@ipb.ptdspace@ipb.ptDOIIsPartOf10.3390/chemosensors90601432018-01-19T10:00:00Z20212021-01-01T00:00:00ZHandlehttp://hdl.handle.net/10198/24330http://purl.org/coar/access_right/c_abf2open accessChemometricsElectronic tongueFood-water bacteriaLinear discriminant analysisLipid sensor membranesPotentiometric analysisPrincipal component analysisSimulated annealing variable selection algorithm1615370 bytesFundação para a Ciência e a TecnologiaMountain Research Center6817 - DCRRNI IDCrossref Funder IDhttp://doi.org/10.13039/501100001871Fundação para a Ciência e a TecnologiaCentre of Biological Engineering of the University of Minho6817 - DCRRNI IDCrossref Funder IDhttp://doi.org/10.13039/501100001871Fundação para a Ciência e a TecnologiaImprovement of olive oil flavor and bioactive composition by optimizing industrial extraction using taste sensor devicesPOR_NORTECrossref Funder IDhttp://doi.org/10.13039/501100001871literaturehttp://purl.org/coar/resource_type/c_6501journal articlehttp://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://bibliotecadigital.ipb.pt/bitstreams/68908809-8dee-4149-80ff-e07144731b5d/download |
| spellingShingle | A potentiometric electronic tongue as a discrimination tool of water-food indicator/contamination bacteria Ghrissi, Hiba Chemometrics Electronic tongue Food-water bacteria Linear discriminant analysis Lipid sensor membranes Potentiometric analysis Principal component analysis Simulated annealing variable selection algorithm |
| status | SINGLETON |
| subject.fl_str_mv | Chemometrics Electronic tongue Food-water bacteria Linear discriminant analysis Lipid sensor membranes Potentiometric analysis Principal component analysis Simulated annealing variable selection algorithm |
| title | A potentiometric electronic tongue as a discrimination tool of water-food indicator/contamination bacteria |
| title_full | A potentiometric electronic tongue as a discrimination tool of water-food indicator/contamination bacteria |
| title_fullStr | A potentiometric electronic tongue as a discrimination tool of water-food indicator/contamination bacteria |
| title_full_unstemmed | A potentiometric electronic tongue as a discrimination tool of water-food indicator/contamination bacteria |
| title_short | A potentiometric electronic tongue as a discrimination tool of water-food indicator/contamination bacteria |
| title_sort | A potentiometric electronic tongue as a discrimination tool of water-food indicator/contamination bacteria |
| topic | Chemometrics Electronic tongue Food-water bacteria Linear discriminant analysis Lipid sensor membranes Potentiometric analysis Principal component analysis Simulated annealing variable selection algorithm |
| topic_facet | Chemometrics Electronic tongue Food-water bacteria Linear discriminant analysis Lipid sensor membranes Potentiometric analysis Principal component analysis Simulated annealing variable selection algorithm |
| url | http://hdl.handle.net/10198/24330 |
| visible | 1 |