Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/81707
Título: | A 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-chave: | 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 |
Data: | 2023 |
Editora: | Multidisciplinary Digital Publishing Institute (MDPI) |
Revista: | Biosensors |
Citação: | Dias, 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. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/81707 |
DOI: | 10.3390/bios13010019 |
ISSN: | 2079-6374 |
Versão da editora: | https://www.mdpi.com/2079-6374/13/1/19 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | CEB - Publicações em Revistas/Séries Internacionais / Publications in International Journals/Series |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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document_56008_1.pdf | 1,13 MB | Adobe PDF | Ver/Abrir |
Este trabalho está licenciado sob uma Licença Creative Commons