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| 1. |  | LOURES, D. R. S.; NUSSIO, L. G.; PAZIANI, S. de F.; PEDROSO, A. de F.; MARI, L. J.; RIBEIRO, J. L.; ZOPOLLATTO, M.; JUNQUEIRA, M. C.; SCHIMDT, P.; PACKER, I. U.; TOLEDO FILHO, S. G. de. Perdas por efluente e gases em silagens de Capim Tanzânia sob os efeitos do teor de matéria seca, tamanho de partícula e do uso de aditivos. In: REUNIÃO DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 41., 2004, Campo Grande . Anais... Campo Grande: SBZ, 2004. 4 f. 1CD-ROM.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 2. | | SCHMIDT, P.; NUSSIO, L. G.; JUNQUEIRA, M. C.; PEDROSO, A. de F.; LOURES, D. R. S.; PAZIANI, S. de F.; ZOPOLLATO, M.; MARI, L. J.; TOLEDO FILHO, S. G. de. Consumo e digestibilidade de silagens de cana-de-açúcar tratadas com aditivos químicos e microbianos. In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 40., 2003, Santa Maria, RS. Anais... Santa Maria: SBZ, 2003. 4 f. 1CD-ROM.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| Registros recuperados : 2 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Instrumentação. |
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Data corrente: |
24/03/2022 |
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Data da última atualização: |
23/01/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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Autoria: |
SOARES, J. C.; SOARES, A. C.; POPOLIN-NETO, 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: |
Detection of Staphylococcus aureus in milk samples using impedance spectroscopy and data processing with information visualization techniques and multidimensional calibration space. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Sensors and Actuators Reports, v. 4, 100083, 2022. |
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Páginas: |
10 p. |
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ISSN: |
2666-0539 |
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DOI: |
https://doi.org/10.1016/j.snr.2022.100083 |
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Idioma: |
Inglês |
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Conteúdo: |
Early diagnosis of cattle diseases such as mastitis caused by Staphylococcus aureus (S. aureus) can be made effective if on-site detection methods with portable instruments are available. In this work, we fabricated immunosensors based on a layer-by-layer (LbL) film of chitosan and carbon nanotubes coated with a layer of antibodies to detect S. aureus. Using electrical and electrochemical impedance spectroscopies, detection was possible in buffer solutions and in milk with limits of detection which could be as low as 2.6 CFU/mL for milk,sufficient to detect mastitis at early stages. This high sensitivity is ascribed to the specific interactions involving the antibodies, as demonstrated with polarization-modulated infrared reflection absorption spectroscopy (PMIRRAS). The selectivity of the immunosensor was verified by distinguishing S. aureus-containing samples from possible interferents found in milk, for which the interactive document mapping (IDMAP) was employed.Because the interferents affected the spectra, in spite of this distinguishability, we treated the data with a machine learning technique with decision tree models. A multidimensional calibration space was then obtained with rules that permit interpretability and predictability in detecting S. aureus in matrices with high variability as in milk. |
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Palavras-Chave: |
Immunosensor; Machine learning; Nanostructured film. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/232884/1/P-Detection-of-Staphylococcus-aureus-in-milk-samples-using-impedance.pdf
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Marc: |
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022 $a2666-0539
024 7 $ahttps://doi.org/10.1016/j.snr.2022.100083$2DOI
100 1 $aSOARES, J. C.
245 $aDetection of Staphylococcus aureus in milk samples using impedance spectroscopy and data processing with information visualization techniques and multidimensional calibration space.$h[electronic resource]
260 $c2022
300 $a10 p.
520 $aEarly diagnosis of cattle diseases such as mastitis caused by Staphylococcus aureus (S. aureus) can be made effective if on-site detection methods with portable instruments are available. In this work, we fabricated immunosensors based on a layer-by-layer (LbL) film of chitosan and carbon nanotubes coated with a layer of antibodies to detect S. aureus. Using electrical and electrochemical impedance spectroscopies, detection was possible in buffer solutions and in milk with limits of detection which could be as low as 2.6 CFU/mL for milk,sufficient to detect mastitis at early stages. This high sensitivity is ascribed to the specific interactions involving the antibodies, as demonstrated with polarization-modulated infrared reflection absorption spectroscopy (PMIRRAS). The selectivity of the immunosensor was verified by distinguishing S. aureus-containing samples from possible interferents found in milk, for which the interactive document mapping (IDMAP) was employed.Because the interferents affected the spectra, in spite of this distinguishability, we treated the data with a machine learning technique with decision tree models. A multidimensional calibration space was then obtained with rules that permit interpretability and predictability in detecting S. aureus in matrices with high variability as in milk.
653 $aImmunosensor
653 $aMachine learning
653 $aNanostructured film
700 1 $aSOARES, A. C.
700 1 $aPOPOLIN-NETO, M.
700 1 $aPAULOVICH, F. V.
700 1 $aOLIVEIRA JR, O. N.
700 1 $aMATTOSO, L. H. C.
773 $tSensors and Actuators Reports$gv. 4, 100083, 2022.
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Embrapa Instrumentação (CNPDIA) |
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