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| Registros recuperados : 30 | |
| 9. |  | LEITE, T. C. de S.; ALMEIDA, M. J.; SILVA, M. da; SOARES, J. C. Caracterização morfométricas de cães da raça Sertaneja no Município de São João do Piauí-PI. PUBVET, Londrina, v. 5, n. 5, Ed. 152, Art. 1019, 2011. 10 p.| Biblioteca(s): Embrapa Meio-Norte. |
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| 11. | | BONDAN, C.; ZANELLA, E.; ZANELLA, R.; POETINI, M. R.; MARQUES, M. G.; SOARES, J. C. M. xidative status of boar semen during storage. American Journal of Biochemistry and Biotechnology, Al Ain, v. 12, n. 2, p. 95-101, 2016.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 12. | | GOERGEN, L. C. de G.; SOARES, J. C. W.; BERRA, E. F.; BRANDELERO, C.; PEREIRA, R. S. Índices espectrais para avaliação da dinâmica sazonal de clorofilas em folhas de Eucalyptus grandis. Pesquisa Florestal Brasileira, Colombo, v. 35, n. 82, p. 55-61, abr./jun. 2015.| Biblioteca(s): Embrapa Florestas. |
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| 15. | | SOARES, A. C.; SOARES, J. C.; RODRIGUES, V. C.; OLIVEIRA JUNIOR, O. N.; MATTOSO, L. H. C. Técnicas de visualização de informações aplicadas em dados de biossensoriamento para detecção de Staphylococcus aureus. In: JORNADA CIENTÍFICA - EMBRAPA SÃO CARLOS, 12., 2020, São Carlos, SP. Anais... São Carlos: Embrapa Instrumentação: Embrapa Pecuária Sudeste, 2020. Editores técnicos: Cristiane Sanchez Farinas, Daniel Souza Corrêa, José Manoel Marconcini, Maria Fernanda Berlingieri Durigan, Paulo Sérgio de Paula Herrmann Junior. 40 Embrapa Instrumentação. Documentos, 71.| Biblioteca(s): Embrapa Instrumentação. |
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| 16. | | ROMERO TISOT, C. M.; ZANELLA, R.; SOUZA, A. P.; LÖF, L. M.; SOARES, J. C. M.; MARQUES, M. G.; ZANELLA, E. L. Melatonin effect on cryopreserved sperm cells of crioulo stallions. Open Access Journal of Veterinary Science & Research, v. 5, n. 2, 2020.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 17. | | SOARES, A. C.; SOARES, J. C.; RODRIGUES, V. C.; BRANDAO, H. de M.; OLIVEIRA JR, O. N.; MATTOSO, L. H. C. Biossensores microfluidicos aplicados na detecção de mastite em gados leiteiros. In: SIMPÓSIO NACIONAL DE INSTRUMENTAÇÃO AGROPECUÁRIA, 4., 2019, São Carlos, SP. Ciência, inovação e mercado: anais. São Carlos, SP: Embrapa Instrumentação, 2019. Editores: Paulino Ribeiro Villas-Boas, Maria Alice Martins, Débora Marcondes Bastos Pereira Milori, Ladislau Martin Neto. SIAGRO 2019. 651-653| Biblioteca(s): Embrapa Instrumentação. |
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| 18. | | SOARES, J. C.; SOARES, A. C.; RODRIGUES, V. C.; BRANDAO, H. de M.; OLIVEIRA JR, O. N.; MATTOSO, L. H. C. Biossensores poliméricos nanoestruturados aplicados para diagnóstico de mastite. In: SIMPÓSIO NACIONAL DE INSTRUMENTAÇÃO AGROPECUÁRIA, 4., 2019, São Carlos, SP. Ciência, inovação e mercado: anais. São Carlos, SP: Embrapa Instrumentação, 2019. Editores: Paulino Ribeiro Villas-Boas, Maria Alice Martins, Débora Marcondes Bastos Pereira Milori, Ladislau Martin Neto. SIAGRO 2019. 654-657| Biblioteca(s): Embrapa Instrumentação. |
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| 19. | | SOARES, J. C.; SOARES, A. C.; ANGELIM, M. K. S. C.; PROENÇA-MODENA, J. L.; VIEIRA, P. M. M.; MATTOSO, L. H. C.; OLIVEIRA JR, O. N. Diagnostics of SARS-CoV-2 infection using electrical impedance spectroscopy with an immunosensor to detect the spike protein. Talanta, v. 239, 123076, 2022. 1 - 7| Biblioteca(s): Embrapa Instrumentação. |
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| 20. | | SOARES, A. C.; SOARES, J. C.; PASCHOALIN, R. T.; RODRIGUES, V. C.; MELENDEZ, M. E.; REIS, R. M.; CARVALHO, A. L.; MATTOSO, L. H. C.; OLIVEIRA, O. N. Immunosensors containing solution blow spun fibers of poly(lactic acid) to detect p53 biomarker. Materials Science & Engineering C, v. 115, 2020. 1-10| 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
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Biblioteca(s): |
Embrapa Instrumentação. |
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Data corrente: |
19/10/2021 |
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Data da última atualização: |
09/06/2022 |
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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: |
SOARES, J. C.; SOARES, A. C.; RODRIGUES, V. C.; OITICICA, P. R. A.; RAYMUNDO-PEREIRA, P. A.; BOTT-NETO, J. L.; BUSCAGLIA, L. A.; CASTRO, L. D. C. de; RIBAS, L. C.; SCABINI, L.; BRAZACA, L. C.; CORREA, D. S.; MATTOSO, L. H. C.; OLIVEIRA, M. C. F. de; CARVALHO, A. C. P. L. de; CARRILHO, E.; BRUNO, O. M.; MELENDEZ, M. E.; OLIVEIRA JR, O. N. |
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Afiliação: |
DANIEL SOUZA CORREA, CNPDIA; LUIZ HENRIQUE CAPPARELLI MATTOSO, CNPDIA. |
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Título: |
Detection of a SARS-CoV-2 sequence with genosensors using data analysis based on information visualization and machine learning techniques. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Materials Chemistry Frontiers, v. 5, 2021. |
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Páginas: |
5658-5670 |
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DOI: |
10.1039/d1qm00665g |
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Idioma: |
Português |
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Conteúdo: |
We report on genosensors to detect an ssDNA sequence from the SARS-CoV-2 genome, which mimics the GU280 gp10 gene (coding the viral nucleocapsid phosphoprotein), using four distinct principles of detection and treating the data with information visualization and machine learning techniques. Genosensors were fabricated on either gold (Au) interdigitated electrodes for electrical and electrochemical measurements or on Au nanoparticles on a glass slide for optical measurements. They contained a matrix of 11-mercaptoundecanoic acid (11-MUA) self-assembled monolayer (SAM) onto which a layer of capture probe (cpDNA) sequence was immobilized. Detection was performed using electrical and electrochemical impedance spectroscopies and localized surface plasmon resonance (LSPR). The highest sensitivity was reached with impedance spectroscopy, including using a low-cost (US$ 100) homemade impedance analyzer. Complementary ssDNA sequences were detected with a detection limit of 0.5 aM (0.3 copy per mL). This performance may be attributed to the high sensitivity of the electrical impedance technique combined with an appropriate arrangement of the sequences on the electrodes and hybridization between the complementary sequences, as inferred from polarizationmodulated infrared reflection absorption spectroscopy (PM-IRRAS). The selectivity of the genosensor was confirmed by plotting the impedance spectroscopy data with a multidimensional projection technique (interactive document mapping, IDMAP), where a clear separation was observed among the samples of the complementary DNA sequence at various concentrations and from buffer samples containing a non-complementary sequence and other DNA biomarkers. The diagnosis of SARS-CoV-2 mimicking sequences was also achieved with machine learning techniques applied to scanning electron microscope images taken from genosensors exposed to distinct concentrations of the complementary ssDNA sequences. In summary, the genosensors proposed here are promising for detecting SARS-CoV2 genetic material (RNA) in biological fluids in point-of-care settings MenosWe report on genosensors to detect an ssDNA sequence from the SARS-CoV-2 genome, which mimics the GU280 gp10 gene (coding the viral nucleocapsid phosphoprotein), using four distinct principles of detection and treating the data with information visualization and machine learning techniques. Genosensors were fabricated on either gold (Au) interdigitated electrodes for electrical and electrochemical measurements or on Au nanoparticles on a glass slide for optical measurements. They contained a matrix of 11-mercaptoundecanoic acid (11-MUA) self-assembled monolayer (SAM) onto which a layer of capture probe (cpDNA) sequence was immobilized. Detection was performed using electrical and electrochemical impedance spectroscopies and localized surface plasmon resonance (LSPR). The highest sensitivity was reached with impedance spectroscopy, including using a low-cost (US$ 100) homemade impedance analyzer. Complementary ssDNA sequences were detected with a detection limit of 0.5 aM (0.3 copy per mL). This performance may be attributed to the high sensitivity of the electrical impedance technique combined with an appropriate arrangement of the sequences on the electrodes and hybridization between the complementary sequences, as inferred from polarizationmodulated infrared reflection absorption spectroscopy (PM-IRRAS). The selectivity of the genosensor was confirmed by plotting the impedance spectroscopy data with a multidimensional projection technique (interactive document mapping, IDM... Mostrar Tudo |
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Palavras-Chave: |
Genetic material (RNA); SsDNA; Viral nucleocapsid phosphoprotein). |
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Categoria do assunto: |
-- |
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Marc: |
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100 1 $aSOARES, J. C.
245 $aDetection of a SARS-CoV-2 sequence with genosensors using data analysis based on information visualization and machine learning techniques.$h[electronic resource]
260 $c2021
300 $a5658-5670
520 $aWe report on genosensors to detect an ssDNA sequence from the SARS-CoV-2 genome, which mimics the GU280 gp10 gene (coding the viral nucleocapsid phosphoprotein), using four distinct principles of detection and treating the data with information visualization and machine learning techniques. Genosensors were fabricated on either gold (Au) interdigitated electrodes for electrical and electrochemical measurements or on Au nanoparticles on a glass slide for optical measurements. They contained a matrix of 11-mercaptoundecanoic acid (11-MUA) self-assembled monolayer (SAM) onto which a layer of capture probe (cpDNA) sequence was immobilized. Detection was performed using electrical and electrochemical impedance spectroscopies and localized surface plasmon resonance (LSPR). The highest sensitivity was reached with impedance spectroscopy, including using a low-cost (US$ 100) homemade impedance analyzer. Complementary ssDNA sequences were detected with a detection limit of 0.5 aM (0.3 copy per mL). This performance may be attributed to the high sensitivity of the electrical impedance technique combined with an appropriate arrangement of the sequences on the electrodes and hybridization between the complementary sequences, as inferred from polarizationmodulated infrared reflection absorption spectroscopy (PM-IRRAS). The selectivity of the genosensor was confirmed by plotting the impedance spectroscopy data with a multidimensional projection technique (interactive document mapping, IDMAP), where a clear separation was observed among the samples of the complementary DNA sequence at various concentrations and from buffer samples containing a non-complementary sequence and other DNA biomarkers. The diagnosis of SARS-CoV-2 mimicking sequences was also achieved with machine learning techniques applied to scanning electron microscope images taken from genosensors exposed to distinct concentrations of the complementary ssDNA sequences. In summary, the genosensors proposed here are promising for detecting SARS-CoV2 genetic material (RNA) in biological fluids in point-of-care settings
653 $aGenetic material (RNA)
653 $aSsDNA
653 $aViral nucleocapsid phosphoprotein)
700 1 $aSOARES, A. C.
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700 1 $aOITICICA, P. R. A.
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700 1 $aCARVALHO, A. C. P. L. de
700 1 $aCARRILHO, E.
700 1 $aBRUNO, O. M.
700 1 $aMELENDEZ, M. E.
700 1 $aOLIVEIRA JR, O. N.
773 $tMaterials Chemistry Frontiers$gv. 5, 2021.
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