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 | Acesso ao texto completo restrito à biblioteca da Embrapa Gado de Leite. Para informações adicionais entre em contato com cnpgl.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Gado de Leite; Embrapa Instrumentação. |
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Data corrente: |
28/09/2022 |
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Data da última atualização: |
28/09/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
COATRINI-SOARES, A.; COATRINI-SOARES, J.; POPOLIN NETO, M.; MELLO, S. S. de; PINTO, D. S. C.; CARVALHO, W. A.; GILMORE, M. S.; PIAZZETTA, M. H. O.; GOBBI, A. L.; BRANDÃO, H. M.; PAULOVICH, F. V.; OLIVEIRA JR, O. N.; MATTOSO, L. H. C. |
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Afiliação: |
LUIZ HENRIQUE CAPPARELLI MATTOSO, CNPDIA. |
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Título: |
Microfluidic E-tongue to diagnose bovine mastitis with milk samples using machine learning with decision tree models. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Chemical Engineering Journal, v. 451, e138523, 2022. |
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Páginas: |
1 - 9 |
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ISSN: |
1385-8947 |
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DOI: |
https://doi.org/10.1016/j.cej.2022.138523 |
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Idioma: |
Inglês |
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Conteúdo: |
We report an electronic tongue based on impedance spectroscopy to detect Staphylococcus aureus and diagnose bovine mastitis in milk samples. This was achieved with optimized sensing units made with layer-by-layer films and by treating the capacitance data with machine learning algorithms employing decision trees models. These films were made with chitosan, chondroitin sulfate, sericin and gold nanoparticles /sericin, whose molecularlevel interaction with S.aureus depended on the architecture according to PM-IRRAS measurements. The limit of detection in blank milk varied from 3.41 to 2.01 CFU/mL depending on the sensing unit. This sensitivity was complemented with the selectivity provided by combining the electrical responses of the four sensing units. Indeed, with machine learning it was possible to determine multidimensional calibration spaces (MCS) that could generate rules to explain how the milk samples could be discriminated. With a 7-dimension MCS, distinct S. aureus concentrations could be distinguished from possible interferents with a 100 % accuracy. In crude milk samples, 94 % accuracy was obtained with a 6-dimension MCS in multiclass classification for milk from different udders of a mastitis infected cow, including samples diluted 50-fold, in addition to milk from an infected cow treated with Bronopol and from a healthy cow. It is significant that in a ternary classification with these crude milk samples, a 2-dimension MCS could distinguish between milk from an infected cow, treated with Bronopol and from a healthy cow with 100 % accuracy. The combination of electronic tongues and machine learning ? as in this proof-of-concept study - is promising for diagnosis of mastitis at a low cost. MenosWe report an electronic tongue based on impedance spectroscopy to detect Staphylococcus aureus and diagnose bovine mastitis in milk samples. This was achieved with optimized sensing units made with layer-by-layer films and by treating the capacitance data with machine learning algorithms employing decision trees models. These films were made with chitosan, chondroitin sulfate, sericin and gold nanoparticles /sericin, whose molecularlevel interaction with S.aureus depended on the architecture according to PM-IRRAS measurements. The limit of detection in blank milk varied from 3.41 to 2.01 CFU/mL depending on the sensing unit. This sensitivity was complemented with the selectivity provided by combining the electrical responses of the four sensing units. Indeed, with machine learning it was possible to determine multidimensional calibration spaces (MCS) that could generate rules to explain how the milk samples could be discriminated. With a 7-dimension MCS, distinct S. aureus concentrations could be distinguished from possible interferents with a 100 % accuracy. In crude milk samples, 94 % accuracy was obtained with a 6-dimension MCS in multiclass classification for milk from different udders of a mastitis infected cow, including samples diluted 50-fold, in addition to milk from an infected cow treated with Bronopol and from a healthy cow. It is significant that in a ternary classification with these crude milk samples, a 2-dimension MCS could distinguish between milk from an i... Mostrar Tudo |
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Palavras-Chave: |
Impedance spectroscopy; Machine learning; Mastite; Multidimensional calibration space; S aureus; Sensors. |
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Thesagro: |
Bovino; Doença Animal; Gado Leiteiro. |
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Categoria do assunto: |
--
L Ciência Animal e Produtos de Origem Animal |
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Marc: |
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Registro original: |
Embrapa Instrumentação (CNPDIA) |
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| Registros recuperados : 5 | |
| 1. |  | JESUS, W. B.; PARRON, L. M. Características cromatográficas na determinação de cátions em trocadores de sílica gel organofuncionalizada em amostras de água da Bacia do Rio Jardim, DF. In: ENCONTRO DE JOVENS TALENTOS DA EMBRAPA CERRADOS, 3., 2007, Planaltina, DF. Resumos apresentados. Planaltina, DF: Embrapa Cerrados, 2007. p. 66. (Embrapa Cerrados. Documentos, 176).| Tipo: Resumo em Anais de Congresso | Circulação/Nível: -- - -- |
| Biblioteca(s): Embrapa Cerrados. |
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| 2. | | JESUS, W. B.; PARRON, L. M. Estudo das características cromatográficas na determinação de ânions em trocadores de sílica gel organofuncionalizada em amostras de água da Bacia do Rio Jardim, DF. In: ENCONTRO DE JOVENS TALENTOS DA EMBRAPA CERRADOS, 3., 2007, Planaltina, DF. Resumos apresentados. Planaltina, DF: Embrapa Cerrados, 2007. p. 65. (Embrapa Cerrados. Documentos, 176).| Tipo: Resumo em Anais de Congresso | Circulação/Nível: -- - -- |
| Biblioteca(s): Embrapa Cerrados. |
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| 4. | | CRUZ, C. J. D. da; PARRON, L. M.; JESUS, W. B. de; SILVA, E. M. Potássio em água subterrânea e de manancial na Bacia do Rio Jardim, DF. In: ENCONTRO DE JOVENS TALENTOS DA EMBRAPA CERRADOS, 3., 2007, Planaltina, DF. Resumos apresentados. Planaltina, DF: Embrapa Cerrados, 2007. p. 30. (Embrapa Cerrados. Documentos, 176).| Tipo: Resumo em Anais de Congresso | Circulação/Nível: -- - -- |
| Biblioteca(s): Embrapa Cerrados. |
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| 5. | | LUIZ, G. P.; PARRON, L. M.; JESUS, W. B. de; ROCHA, A. L. A. Concentrações de nitrato e amônio em água subterrânea na Bacia do Rio Jardim, DF. In: ENCONTRO DE JOVENS TALENTOS DA EMBRAPA CERRADOS, 3., 2007, Planaltina, DF. Resumos apresentados. Planaltina, DF: Embrapa Cerrados, 2007. p. 31. (Embrapa Cerrados. Documentos, 176).| Tipo: Resumo em Anais de Congresso | Circulação/Nível: -- - -- |
| Biblioteca(s): Embrapa Cerrados. |
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| Registros recuperados : 5 | |
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| Nenhum registro encontrado para a expressão de busca informada. |
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