A lab-made e-nose-MOS device for assessing the bacterial growth in a solid culture medium

Detalhes bibliográficos
Autor(a) principal: Dias, Teresa
Data de Publicação: 2014
Outros Autores: Santos, Vitor S., Zorgani, Tarek, Ferreiro, Nuno Manuel, Rodrigues, Ana Isabel, Zaghdoudi, Khalil, Veloso, Ana C.A., 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/10198/9307
Resumo: The detection and level assessment of microorganisms is a practical quality/contamination indicator of food and water samples. Conventional analytical procedures (e.g., culture methods, immunological techniques, and polymerase chain reactions), while accurate and widely used, are time-consuming, costly, and generate a large amount of waste. Electronic noses (E-noses), combined with chemometrics, provide a direct, green, and non-invasive assessment of the volatile fraction without the need for sample pre-treatments. The unique olfactory fingerprint generated during each microorganism’s growth can be a vehicle for its detection using gas sensors. A lab-made E-nose, comprising metal oxide semiconductor sensors was applied, to analyze solid medium containing Gram-positive (Enterococcus faecalis and Staphylococcus aureus) or Gram-negative (Escherichia coli and Pseudomonas aeruginosa) bacteria. The electrical-resistance signals generated by the E-nose coupled with linear discriminant analysis allowed the discrimination of the four bacteria (90% of correct classifications for leave-one-out cross-validation). Furthermore, multiple linear regression models were also established allowing quantifying the number of colony-forming units (CFU) (0.9428 ≤ R2 ≤ 0.9946), with maximum root mean square errors lower than 4 CFU. Overall, the E-nose showed to be a powerful qualitative–quantitative device for bacteria preliminary analysis, being envisaged its possible application in solid food matrices.
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spelling A lab-made e-nose-MOS device for assessing the bacterial growth in a solid culture mediumElectronic noseMetal oxide semiconductor sensorsBacteria identificationGram-positiveGram-negativeColony-forming unitsLinear discriminant analysisMultiple linear regression modelsSimulated annealing algorithmThe detection and level assessment of microorganisms is a practical quality/contamination indicator of food and water samples. Conventional analytical procedures (e.g., culture methods, immunological techniques, and polymerase chain reactions), while accurate and widely used, are time-consuming, costly, and generate a large amount of waste. Electronic noses (E-noses), combined with chemometrics, provide a direct, green, and non-invasive assessment of the volatile fraction without the need for sample pre-treatments. The unique olfactory fingerprint generated during each microorganism’s growth can be a vehicle for its detection using gas sensors. A lab-made E-nose, comprising metal oxide semiconductor sensors was applied, to analyze solid medium containing Gram-positive (Enterococcus faecalis and Staphylococcus aureus) or Gram-negative (Escherichia coli and Pseudomonas aeruginosa) bacteria. The electrical-resistance signals generated by the E-nose coupled with linear discriminant analysis allowed the discrimination of the four bacteria (90% of correct classifications for leave-one-out cross-validation). Furthermore, multiple linear regression models were also established allowing quantifying the number of colony-forming units (CFU) (0.9428 ≤ R2 ≤ 0.9946), with maximum root mean square errors lower than 4 CFU. Overall, the E-nose showed to be a powerful qualitative–quantitative device for bacteria preliminary analysis, being envisaged its possible application in solid food matrices.MDPIBiblioteca Digital do IPBDias, TeresaSantos, Vitor S.Zorgani, TarekFerreiro, Nuno ManuelRodrigues, Ana IsabelZaghdoudi, KhalilVeloso, Ana C.A.Peres, António M.2014-02-12T13:10:57Z20232023-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10198/9307engDias, Teresa; Santos, Vitor S.; Zorgani, Tarek; Ferreiro, Nuno Manuel; Rodrigues, Ana Isabel; Zaghdoudi, Khalil; Veloso, Ana C.A.; Peres, António M.. (2023). A lab-made e-nose-MOS device for assessing the bacterial growth in a solid culture medium. Biosensors. eISSN 2079-6374. 13:1, p. 1-1310.3390/bios130100192079-6374info: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:RCAAP2024-02-07T01:17:58Zoai:bibliotecadigital.ipb.pt:10198/9307Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:00:35.998605Repositório 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 lab-made e-nose-MOS device for assessing the bacterial growth in a solid culture medium
title A lab-made e-nose-MOS device for assessing the bacterial growth in a solid culture medium
spellingShingle A lab-made e-nose-MOS device for assessing the bacterial growth in a solid culture medium
Dias, Teresa
Electronic nose
Metal oxide semiconductor sensors
Bacteria identification
Gram-positive
Gram-negative
Colony-forming units
Linear discriminant analysis
Multiple linear regression models
Simulated annealing algorithm
title_short A lab-made e-nose-MOS device for assessing the bacterial growth in a solid culture medium
title_full A lab-made e-nose-MOS device for assessing the bacterial growth in a solid culture medium
title_fullStr A lab-made e-nose-MOS device for assessing the bacterial growth in a solid culture medium
title_full_unstemmed A lab-made e-nose-MOS device for assessing the bacterial growth in a solid culture medium
title_sort A lab-made e-nose-MOS device for assessing the bacterial growth in a solid culture medium
author Dias, Teresa
author_facet Dias, Teresa
Santos, Vitor S.
Zorgani, Tarek
Ferreiro, Nuno Manuel
Rodrigues, Ana Isabel
Zaghdoudi, Khalil
Veloso, Ana C.A.
Peres, António M.
author_role author
author2 Santos, Vitor S.
Zorgani, Tarek
Ferreiro, Nuno Manuel
Rodrigues, Ana Isabel
Zaghdoudi, Khalil
Veloso, Ana C.A.
Peres, António M.
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.contributor.author.fl_str_mv Dias, Teresa
Santos, Vitor S.
Zorgani, Tarek
Ferreiro, Nuno Manuel
Rodrigues, Ana Isabel
Zaghdoudi, Khalil
Veloso, Ana C.A.
Peres, António M.
dc.subject.por.fl_str_mv Electronic nose
Metal oxide semiconductor sensors
Bacteria identification
Gram-positive
Gram-negative
Colony-forming units
Linear discriminant analysis
Multiple linear regression models
Simulated annealing algorithm
topic Electronic nose
Metal oxide semiconductor sensors
Bacteria identification
Gram-positive
Gram-negative
Colony-forming units
Linear discriminant analysis
Multiple linear regression models
Simulated annealing algorithm
description The detection and level assessment of microorganisms is a practical quality/contamination indicator of food and water samples. Conventional analytical procedures (e.g., culture methods, immunological techniques, and polymerase chain reactions), while accurate and widely used, are time-consuming, costly, and generate a large amount of waste. Electronic noses (E-noses), combined with chemometrics, provide a direct, green, and non-invasive assessment of the volatile fraction without the need for sample pre-treatments. The unique olfactory fingerprint generated during each microorganism’s growth can be a vehicle for its detection using gas sensors. A lab-made E-nose, comprising metal oxide semiconductor sensors was applied, to analyze solid medium containing Gram-positive (Enterococcus faecalis and Staphylococcus aureus) or Gram-negative (Escherichia coli and Pseudomonas aeruginosa) bacteria. The electrical-resistance signals generated by the E-nose coupled with linear discriminant analysis allowed the discrimination of the four bacteria (90% of correct classifications for leave-one-out cross-validation). Furthermore, multiple linear regression models were also established allowing quantifying the number of colony-forming units (CFU) (0.9428 ≤ R2 ≤ 0.9946), with maximum root mean square errors lower than 4 CFU. Overall, the E-nose showed to be a powerful qualitative–quantitative device for bacteria preliminary analysis, being envisaged its possible application in solid food matrices.
publishDate 2014
dc.date.none.fl_str_mv 2014-02-12T13:10:57Z
2023
2023-01-01T00:00:00Z
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/10198/9307
url http://hdl.handle.net/10198/9307
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Dias, Teresa; Santos, Vitor S.; Zorgani, Tarek; Ferreiro, Nuno Manuel; Rodrigues, Ana Isabel; Zaghdoudi, Khalil; Veloso, Ana C.A.; Peres, António M.. (2023). A lab-made e-nose-MOS device for assessing the bacterial growth in a solid culture medium. Biosensors. eISSN 2079-6374. 13:1, p. 1-13
10.3390/bios13010019
2079-6374
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
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