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 | Acesso ao texto completo restrito à biblioteca da Embrapa Instrumentação. Para informações adicionais entre em contato com cnpdia.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Instrumentação. |
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Data corrente: |
29/12/2022 |
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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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Autoria: |
MATERÓN, E. M.; GÓMEZ, F. R.; ALMEIDA, M. B.; SHIMIZU, F. M.; WONG, A.; TEODORO, K. B. R.; SILVA, F. S. R.; LIMA, M. J. A.; ANGELIM, M. K. S. C.; MELENDEZ, M. E.; PORRAS, N.; VIEIRA, P. M.; CORREA, D. S.; CARRILHO, E.; OLIVEIRA, Jr., O. N.; AZEVEDO, R. B.; GONÇALVES, D. |
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Afiliação: |
DANIEL SOUZA CORREA, CNPDIA. |
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Título: |
Colorimetric Detection of SARS-CoV-2 Using Plasmonic Biosensors and Smartphones. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
ACS Applied Materials & Interfaces, v. 14, 2022 |
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Páginas: |
54527–54538 |
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DOI: |
https://doi.org/10.1021/acsami.2c15407 |
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Idioma: |
Inglês |
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Conteúdo: |
Low-cost, instrument-free colorimetric tests were developed to detect SARS-CoV-2 using plasmonic biosensors with Au nanoparticles functionalized with polyclonal antibodies (fAuNPs). Intense color changes were noted with the naked eye owing to plasmon coupling when f-AuNPs form clusters on the virus, with high sensitivity and a detection limit of 0.28 PFU mL−1 (PFU stands for plaque-forming units) in human saliva. Plasmon coupling was corroborated with computer simulations using the finite-difference time-domain (FDTD) method. The strategies based on preparing plasmonic biosensors with f-AuNPs are robust to permit SARS-CoV-2 detection via dynamic light scattering and UV−vis spectroscopy without interference from other viruses, such as influenza and dengue viruses. The diagnosis was made with a smartphone app after processing the images collected from the smartphone camera, measuring the concentration of SARS-CoV-2.Both image processing and machine learning algorithms were found to provide COVID-19 diagnosis with 100% accuracy for saliva samples. In subsidiary experiments, we observed that the biosensor could be used to detect the virus in river waters without pretreatment. With fast responses and requiring small sample amounts (only 20 μL), these colorimetric tests can be deployed in any location within the point-of-care diagnosis paradigm for epidemiological control. |
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Palavras-Chave: |
Gold nanoparticles; Localized surface plasmon resonance; Machine learning; Plasmonic coupling; Point-of-care; Portable sensor; SARS-CoV-2. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02614naa a2200421 a 4500
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008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1021/acsami.2c15407$2DOI
100 1 $aMATERÓN, E. M.
245 $aColorimetric Detection of SARS-CoV-2 Using Plasmonic Biosensors and Smartphones.$h[electronic resource]
260 $c2022
300 $a54527–54538
520 $aLow-cost, instrument-free colorimetric tests were developed to detect SARS-CoV-2 using plasmonic biosensors with Au nanoparticles functionalized with polyclonal antibodies (fAuNPs). Intense color changes were noted with the naked eye owing to plasmon coupling when f-AuNPs form clusters on the virus, with high sensitivity and a detection limit of 0.28 PFU mL−1 (PFU stands for plaque-forming units) in human saliva. Plasmon coupling was corroborated with computer simulations using the finite-difference time-domain (FDTD) method. The strategies based on preparing plasmonic biosensors with f-AuNPs are robust to permit SARS-CoV-2 detection via dynamic light scattering and UV−vis spectroscopy without interference from other viruses, such as influenza and dengue viruses. The diagnosis was made with a smartphone app after processing the images collected from the smartphone camera, measuring the concentration of SARS-CoV-2.Both image processing and machine learning algorithms were found to provide COVID-19 diagnosis with 100% accuracy for saliva samples. In subsidiary experiments, we observed that the biosensor could be used to detect the virus in river waters without pretreatment. With fast responses and requiring small sample amounts (only 20 μL), these colorimetric tests can be deployed in any location within the point-of-care diagnosis paradigm for epidemiological control.
653 $aGold nanoparticles
653 $aLocalized surface plasmon resonance
653 $aMachine learning
653 $aPlasmonic coupling
653 $aPoint-of-care
653 $aPortable sensor
653 $aSARS-CoV-2
700 1 $aGÓMEZ, F. R.
700 1 $aALMEIDA, M. B.
700 1 $aSHIMIZU, F. M.
700 1 $aWONG, A.
700 1 $aTEODORO, K. B. R.
700 1 $aSILVA, F. S. R.
700 1 $aLIMA, M. J. A.
700 1 $aANGELIM, M. K. S. C.
700 1 $aMELENDEZ, M. E.
700 1 $aPORRAS, N.
700 1 $aVIEIRA, P. M.
700 1 $aCORREA, D. S.
700 1 $aCARRILHO, E.
700 1 $aOLIVEIRA, Jr., O. N.
700 1 $aAZEVEDO, R. B.
700 1 $aGONÇALVES, D.
773 $tACS Applied Materials & Interfaces$gv. 14, 2022
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Embrapa Instrumentação (CNPDIA) |
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| 1. |  | KOCHIAN, L. V.; PENCE, N. S.; LETHAM, D. L. D.; PINEROS, M. A.; MAGALHAES, J. V.; HOEKENGA, O. A.; GARVIN, D. F. Mechanisms of metal resistance in plants: aluminum and heavy metals. Plant and Soil, The Hague, v. 247, n.1 , p. 109-119, 2002.| Tipo: Artigo em Periódico Indexado |
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