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Registro Completo |
Biblioteca(s): |
Embrapa Instrumentação. |
Data corrente: |
19/10/2021 |
Data da última atualização: |
09/06/2022 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
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. |
Afiliação: |
DANIEL SOUZA CORREA, CNPDIA; LUIZ HENRIQUE CAPPARELLI MATTOSO, CNPDIA. |
Título: |
Detection of a SARS-CoV-2 sequence with genosensors using data analysis based on information visualization and machine learning techniques. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
Materials Chemistry Frontiers, v. 5, 2021. |
Páginas: |
5658-5670 |
DOI: |
10.1039/d1qm00665g |
Idioma: |
Português |
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 |
Palavras-Chave: |
Genetic material (RNA); SsDNA; Viral nucleocapsid phosphoprotein). |
Categoria do assunto: |
-- |
Marc: |
LEADER 03303naa a2200397 a 4500 001 2135418 005 2022-06-09 008 2021 bl uuuu u00u1 u #d 024 7 $a10.1039/d1qm00665g$2DOI 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. 700 1 $aRODRIGUES, V. C. 700 1 $aOITICICA, P. R. A. 700 1 $aRAYMUNDO-PEREIRA, P. A. 700 1 $aBOTT-NETO, J. L. 700 1 $aBUSCAGLIA, L. A. 700 1 $aCASTRO, L. D. C. de 700 1 $aRIBAS, L. C. 700 1 $aSCABINI, L. 700 1 $aBRAZACA, L. C. 700 1 $aCORREA, D. S. 700 1 $aMATTOSO, L. H. C. 700 1 $aOLIVEIRA, M. C. F. de 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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Embrapa Instrumentação (CNPDIA) |
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Registros recuperados : 7 | |
1. | | 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. 1-10Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Instrumentação. |
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2. | | SOARES, J. C.; IWAKI, L. E. O.; SOARES, A. C.; RODRIGUES, V. C.; MELENDEZ, M. E.; FREGNANI, J. H. T. G.; REIS, M. R.; CARVALHO, A. L.; CORREA, D. S.; OLIVEIRA JUNIOR, O. N. Immunosensor for pancreatic cancer based on electrospun nanofibers coated with carbon nanotubes or gold nanoparticles. ACS Omega, v. 2, p. 6975-6983, 2017.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Instrumentação. |
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3. | | WIZIACK, N. K. L.; SCAPULATEMPO NETO, C.; MELENDEZ, M. E.; SANTIS, J. J. de; SOARES, A. C.; SOARES, J. C.; CORREA, D. S.; MATTOSO, L. H. C.; CARVALHO, A. L.; OLIVEIRA JR, O. N.; LEITE, F. de L. Evaluation of p53 biosensor for use in early non-invasive detection of cancer. In: BRAZILIAN MRS MEETING, 14., 2015, Rio de Janeiro. Program book... Rio de Janeiro: SBPMat, 2015. 2 p.Tipo: Artigo em Anais de Congresso |
Biblioteca(s): Embrapa Instrumentação. |
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4. | | SOARES, J. C.; MELENDEZ, M. E.; SOARES, A. C.; ARANTES, L. M. R. B.; RODRIGUES, V. C.; CARVALHO, A. L.; REIS, R. M.; MATTOSO, L. H. C.; OLIVEIRA JUNIOR, O. N. Detection of HPV16 in cell lines deriving from cervical and head and neck cancer using a genosensor made with a DNA probe on a layer-by-layer matrix. Materials Chemistry Frontiers, v. 4, n. 11, 2020. 3258-3266Tipo: Artigo em Periódico Indexado |
Biblioteca(s): Embrapa Instrumentação. |
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5. | | PEREIRA, C. M.; CARVALHO, A. C. de; SILVA, F. R. da; MELENDEZ, M. E.; LESSA, R. C.; ANDRADE, V. C. C.; KOWALSKI, L. P.; VETTORE, A. L.; CARVALHO, A. L. In vitro and in silico validation of CA3 and FHL1 downregulation in oral cancer. BMC Cancer, v. 18, p. 1-10, 2018. Article number: 193.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Agricultura Digital. |
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6. | | 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 54527–54538Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Instrumentação. |
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7. | | 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. Detection of a SARS-CoV-2 sequence with genosensors using data analysis based on information visualization and machine learning techniques. Materials Chemistry Frontiers, v. 5, 2021. 5658-5670Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Instrumentação. |
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Registros recuperados : 7 | |
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