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

Detalhes bibliográficos
Autor(a) principal: Ghrissi, Hiba
Data de Publicação: 2021
Outros Autores: Veloso, Ana C. A., Marx, Ítala M. G., Dias, Teresa., Peres, António M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/1822/73496
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 (1215 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.
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spelling A potentiometric electronic tongue as a discrimination tool of water-food indicator/contamination bacteriaLipid sensor membranesPotentiometric analysisElectronic tongueFood-water bacteriaChemometricsPrincipal component analysisLinear discriminant analysisSimulated annealing variable selection algorithmCiências Agrárias::Biotecnologia Agrária e AlimentarScience & TechnologyMicroorganism 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 (1215 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.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.info:eu-repo/semantics/publishedVersionMDPIUniversidade do MinhoGhrissi, HibaVeloso, Ana C. A.Marx, Ítala M. G.Dias, Teresa.Peres, António M.2021-06-162021-06-16T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/73496engGhrissi, Hiba; Veloso, Ana C. A.; Marx, Ítala M. G.; Dias, Teresa.; Peres, António M., A potentiometric electronic tongue as a discrimination tool of water-food indicator/contamination bacteria. Chemosensors, 9(6), 143, 20212227-904010.3390/chemosensors9060143https://www.mdpi.com/2227-9040/9/6/143info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:02:57Zoai:repositorium.sdum.uminho.pt:1822/73496Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:53:01.697213Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv A potentiometric electronic tongue as a discrimination tool of water-food indicator/contamination bacteria
title A potentiometric electronic tongue as a discrimination tool of water-food indicator/contamination bacteria
spellingShingle A potentiometric electronic tongue as a discrimination tool of water-food indicator/contamination bacteria
Ghrissi, Hiba
Lipid sensor membranes
Potentiometric analysis
Electronic tongue
Food-water bacteria
Chemometrics
Principal component analysis
Linear discriminant analysis
Simulated annealing variable selection algorithm
Ciências Agrárias::Biotecnologia Agrária e Alimentar
Science & Technology
title_short 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_sort A potentiometric electronic tongue as a discrimination tool of water-food indicator/contamination bacteria
author Ghrissi, Hiba
author_facet Ghrissi, Hiba
Veloso, Ana C. A.
Marx, Ítala M. G.
Dias, Teresa.
Peres, António M.
author_role author
author2 Veloso, Ana C. A.
Marx, Ítala M. G.
Dias, Teresa.
Peres, António M.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Ghrissi, Hiba
Veloso, Ana C. A.
Marx, Ítala M. G.
Dias, Teresa.
Peres, António M.
dc.subject.por.fl_str_mv Lipid sensor membranes
Potentiometric analysis
Electronic tongue
Food-water bacteria
Chemometrics
Principal component analysis
Linear discriminant analysis
Simulated annealing variable selection algorithm
Ciências Agrárias::Biotecnologia Agrária e Alimentar
Science & Technology
topic Lipid sensor membranes
Potentiometric analysis
Electronic tongue
Food-water bacteria
Chemometrics
Principal component analysis
Linear discriminant analysis
Simulated annealing variable selection algorithm
Ciências Agrárias::Biotecnologia Agrária e Alimentar
Science & Technology
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 (1215 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.
publishDate 2021
dc.date.none.fl_str_mv 2021-06-16
2021-06-16T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/73496
url http://hdl.handle.net/1822/73496
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Ghrissi, Hiba; Veloso, Ana C. A.; Marx, Ítala M. G.; Dias, Teresa.; Peres, António M., A potentiometric electronic tongue as a discrimination tool of water-food indicator/contamination bacteria. Chemosensors, 9(6), 143, 2021
2227-9040
10.3390/chemosensors9060143
https://www.mdpi.com/2227-9040/9/6/143
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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