Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/81707

TítuloA lab-made E-nose-MOS device for assessing the bacterial growth in a solid culture medium
Autor(es)Dias, Teresa
Santos, Vítor S.
Zorgani, Tarek
Ferreiro, Nuno
Rodrigues, Ana I.
Zaghdoudi, Khalil
Veloso, Ana C. A.
Peres, António M.
Palavras-chaveelectronic nose
metal oxide semiconductor sensors
bacteria identification
Gram-positive
Gram-negative
colony-forming units
linear discriminant analysis
multiple linear regression models
simulated annealing algorithm
Data2023
EditoraMultidisciplinary Digital Publishing Institute (MDPI)
RevistaBiosensors
CitaçãoDias, T.; Santos, V.S.; Zorgani, T.; Ferreiro, N.; Rodrigues, A.I.; Zaghdoudi, K.; Veloso, A.C.A.; Peres, A.M. A Lab-Made E-Nose-MOS Device for Assessing the Bacterial Growth in a Solid Culture Medium. Biosensors 2023, 13, 19. https://doi.org/10.3390/bios13010019
Resumo(s)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.
TipoArtigo
URIhttps://hdl.handle.net/1822/81707
DOI10.3390/bios13010019
ISSN2079-6374
Versão da editorahttps://www.mdpi.com/2079-6374/13/1/19
Arbitragem científicayes
AcessoAcesso aberto
Aparece nas coleções:CEB - Publicações em Revistas/Séries Internacionais / Publications in International Journals/Series

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