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| Registros recuperados : 9 | |
| 4. |  | SILVA, L. P.; LEITE, J. R. S. A.; BRAND, G. D.; REGIS, W. B.; TEDESCO, A. C.; AZEVEDO, R. B.; FREITAS, S. M.; BLOCH JUNIOR, C. Dermaseptins from Phyllomedusa oreades and Phyllomedusa distincta: liposomes fusion and/or lysis investigated by fluorescence and atomic force microscopy. Comparative Biochemistry and Physiology, Part A, v. 151, p. 329-335, 2008.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 5. | | SANTOS, M. S. C. dos; GOUVÊA, A. L.; MOURA, L. D. de; PATERNO, L. G.; SOUZA, P. E. N. de; BASTOS, A. P. A.; DAMASCENO, E. A. M.; SOUZA, F. H. V.; AZEVEDO, R. B. de; BAÓ, S. N. Nanographene oxide-methylene blue as phototherapies platform for breast tumor ablation and metastasis prevention in a syngeneic orthotopic murine model. Journal of Nanobiotechnology, v. 16, n. 9, p. 1-17, 2018.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 6. | | MAGALHÃES, M. T. O.; JOANITTI, G. A.; RIBEIRO, A. C. J.; BARBOSA, E. A.; AZEVEDO, R. B.; SILVA, L. P. da; NICOLI, J. R.; ANDRADE, A. C.; PRATES, M. V.; BLOCH JUNIOR, C. Phenilseptin: a new antimicrobial and anticancer peptide from the Brazilian frog Hypsiboas punctatus. In: WORLD CONGRESS OF THE INTERNATIONAL SOCIETY ON TOXINOLOGY, 16.; CONGRESSO DA SOCIEDADE BRASILEIRA DE TOXINOLOGIA, 10, 2009, Recife. [Anais...]. São Paulo: Sociedade Brasileira de Toxinologia, 2009.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 7. | | LEITE, J. R. S. A.; SILVA, L. P.; RODRIGUES, M. I. S.; PRATES, M. V.; BRAND, G. D.; LACAVA, B. M.; AZEVEDO, R. B.; BOCCA, A. L.; ALBUQUERQUE, S.; BLOCH JUNIOR, C. Phylloseptins: a novel class of anti-bacterial and anti-protozoan peptides from Phyllomeduza genus. Peptides.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 8. | | SILVA, M. P.; DRUMMOND, A. L.; AQUINO, V. R. R.; SILVA, L. P.; AZEVEDO, R. B.; SALES, M. J. A.; MORAIS, P. C.; BAKUZIS, A. F.; SOUSA, M. H. Facile green synthesis of nanomagnets for modulating magnetohyperthermia: tailoring size, shape and phase. RSC Advances, v, 7, n. 75, p. 47669-47680, 2017.| Biblioteca(s): Embrapa Recursos Genéticos e Biotecnologia. |
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| 9. | | 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. Colorimetric Detection of SARS-CoV-2 Using Plasmonic Biosensors and Smartphones ACS Applied Materials & Interfaces, v. 14, 2022 54527–54538| Biblioteca(s): Embrapa Instrumentação. |
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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. |
Registro Completo
|
Biblioteca(s): |
Embrapa Instrumentação. |
|
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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Circulação/Nível: |
A - 1 |
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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. |
|
Afiliação: |
DANIEL SOUZA CORREA, CNPDIA. |
|
Título: |
Colorimetric Detection of SARS-CoV-2 Using Plasmonic Biosensors and Smartphones |
|
Ano de publicação: |
2022 |
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Fonte/Imprenta: |
ACS Applied Materials & Interfaces, v. 14, 2022 |
|
Páginas: |
54527–54538 |
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DOI: |
https://doi.org/10.1021/acsami.2c15407 |
|
Idioma: |
Inglês |
|
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: |
-- |
|
Marc: |
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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.
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773 $tACS Applied Materials & Interfaces$gv. 14, 2022
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