Publication
A lab-made e-nose-MOS device for assessing the bacterial growth in a solid culture medium
dc.contributor.author | Dias, Teresa | |
dc.contributor.author | Santos, Vitor S. | |
dc.contributor.author | Zorgani, Tarek | |
dc.contributor.author | Ferreiro, Nuno Manuel | |
dc.contributor.author | Rodrigues, Ana Isabel | |
dc.contributor.author | Zaghdoudi, Khalil | |
dc.contributor.author | Veloso, Ana C.A. | |
dc.contributor.author | Peres, António M. | |
dc.date.accessioned | 2014-02-12T13:10:57Z | |
dc.date.available | 2014-02-12T13:10:57Z | |
dc.date.issued | 2023 | |
dc.description.abstract | 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. | por |
dc.identifier.citation | 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 | por |
dc.identifier.doi | 10.3390/bios13010019 | |
dc.identifier.eissn | 2079-6374 | |
dc.identifier.uri | http://hdl.handle.net/10198/9307 | |
dc.language.iso | eng | por |
dc.peerreviewed | yes | por |
dc.publisher | MDPI | por |
dc.subject | Electronic nose | por |
dc.subject | Metal oxide semiconductor sensors | por |
dc.subject | Bacteria identification | |
dc.subject | Gram-positive | |
dc.subject | Gram-negative | |
dc.subject | Colony-forming units | |
dc.subject | Linear discriminant analysis | |
dc.subject | Multiple linear regression models | |
dc.subject | Simulated annealing algorithm | |
dc.title | A lab-made e-nose-MOS device for assessing the bacterial growth in a solid culture medium | por |
dc.type | journal article | |
dspace.entity.type | Publication | |
oaire.citation.title | Biosensors | por |
person.familyName | Dias | |
person.familyName | Peres | |
person.givenName | Teresa | |
person.givenName | António M. | |
person.identifier | 142703 | |
person.identifier | 107333 | |
person.identifier.ciencia-id | CF16-5443-F420 | |
person.identifier.orcid | 0000-0002-9419-9561 | |
person.identifier.orcid | 0000-0001-6595-9165 | |
person.identifier.rid | I-8470-2012 | |
person.identifier.scopus-author-id | 56830642600 | |
person.identifier.scopus-author-id | 7102331969 | |
rcaap.rights | openAccess | por |
rcaap.type | article | por |
relation.isAuthorOfPublication | 87c9cae0-314d-4622-ba85-4d3ec5726606 | |
relation.isAuthorOfPublication | 7d93be47-8dc4-4413-9304-5b978773d3bb | |
relation.isAuthorOfPublication.latestForDiscovery | 7d93be47-8dc4-4413-9304-5b978773d3bb |