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

Detalhes bibliográficos
Autor(a) principal: Ghrissi, Hiba
Data de Publicação: 2018
Outros Autores: Veloso, Ana C.A., Marx, Ítala, 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/10198/24330
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.
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spelling A potentiometric electronic tongue as a discrimination tool of water-food indicator/contamination bacteriaChemometricsElectronic tongueFood-water bacteriaLinear discriminant analysisLipid sensor membranesPotentiometric analysisPrincipal component analysisSimulated annealing variable selection algorithmMicroorganism 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.The 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.Biblioteca Digital do IPBGhrissi, HibaVeloso, Ana C.A.Marx, ÍtalaDias, TeresaPeres, António M.2018-01-19T10:00:00Z20212021-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10198/24330engGhrissi, 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. 1-1510.3390/chemosensors9060143info: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:RCAAP2023-11-21T10:54:25Zoai:bibliotecadigital.ipb.pt:10198/24330Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:15:10.958663Repositório 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
Chemometrics
Electronic tongue
Food-water bacteria
Linear discriminant analysis
Lipid sensor membranes
Potentiometric analysis
Principal component analysis
Simulated annealing variable selection algorithm
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
Dias, Teresa
Peres, António M.
author_role author
author2 Veloso, Ana C.A.
Marx, Ítala
Dias, Teresa
Peres, António M.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.contributor.author.fl_str_mv Ghrissi, Hiba
Veloso, Ana C.A.
Marx, Ítala
Dias, Teresa
Peres, António M.
dc.subject.por.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
topic Chemometrics
Electronic tongue
Food-water bacteria
Linear discriminant analysis
Lipid sensor membranes
Potentiometric analysis
Principal component analysis
Simulated annealing variable selection algorithm
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.
publishDate 2018
dc.date.none.fl_str_mv 2018-01-19T10:00:00Z
2021
2021-01-01T00:00:00Z
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/10198/24330
url http://hdl.handle.net/10198/24330
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. (2021). A potentiometric electronic tongue as a discrimination tool of water-food indicator/contamination bacteria. Chemosensors. ISSN 2227-9040. 9:6, p. 1-15
10.3390/chemosensors9060143
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.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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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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