A potentiometric electronic tongue as a discrimination tool of water-food indicator/contamination bacteria
Autor(a) principal: | |
---|---|
Data de Publicação: | 2021 |
Outros Autores: | , , , |
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. |
id |
RCAP_9c2146b6987215de3db3b8bf59c857df |
---|---|
oai_identifier_str |
oai:repositorium.sdum.uminho.pt:1822/73496 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
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:RCAAP2024-05-11T04:41:23Zoai:repositorium.sdum.uminho.pt:1822/73496Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-05-11T04:41:23Repositório 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 instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
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 |
repository.mail.fl_str_mv |
mluisa.alvim@gmail.com |
_version_ |
1817544387450634240 |