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Registro Completo |
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Biblioteca(s): |
Embrapa Cerrados. |
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Data corrente: |
25/01/1996 |
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Data da última atualização: |
25/01/1996 |
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Autoria: |
MELO, J. T. de; MOURA, V. P. G.; FIALHO, J. F. |
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Título: |
Sistemas agroflorestais na regiao dos cerrados. |
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Ano de publicação: |
1994 |
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Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO SOBRE SISTEMAS AGROFLORESTAIS, 1., 1994, Porto Velho. Anais do I Congresso Brasileiro sobre Sistemas Agroflorestais e I Encontro sobre Sistemas Agroflorestais nos Paises do Mercosul. Colombo: EMBRAPA-CNPF / Porto Velho: EMBRAPA-CPAF-RO, 1994. |
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Páginas: |
p.123-131. |
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Idioma: |
Português |
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Palavras-Chave: |
Para rubber tree; Pines; Soursop. |
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Thesagro: |
Amendoim; Annona Muricata; Arachis Hypogaea; Arroz; Carica Papaya; Cerrado; Consorciação de Cultura; Eucalipto; Eucalyptus Grandis; Feijão; Floresta; Glycine Max; Graviola; Hevea Brasiliensis; Mamão; Mandioca; Manihot Esculenta; Maracujá; Oryza Sativa; Passiflora Edulis; Pastagem; Phaseolus Vulgaris; Pinheiro; Pinus Oocarpa; Seringueira; Soja. |
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Thesaurus Nal: |
agroforestry; Andropogon; beans; cassava; mixed cropping; nut crops; passion fruits; pastures; rice; soybeans. |
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Categoria do assunto: |
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Marc: |
LEADER 01692naa a2200613 a 4500
001 1550815
005 1996-01-25
008 1994 bl uuuu u00u1 u #d
100 1 $aMELO, J. T. de
245 $aSistemas agroflorestais na regiao dos cerrados.
260 $c1994
300 $ap.123-131.
650 $aagroforestry
650 $aAndropogon
650 $abeans
650 $acassava
650 $amixed cropping
650 $anut crops
650 $apassion fruits
650 $apastures
650 $arice
650 $asoybeans
650 $aAmendoim
650 $aAnnona Muricata
650 $aArachis Hypogaea
650 $aArroz
650 $aCarica Papaya
650 $aCerrado
650 $aConsorciação de Cultura
650 $aEucalipto
650 $aEucalyptus Grandis
650 $aFeijão
650 $aFloresta
650 $aGlycine Max
650 $aGraviola
650 $aHevea Brasiliensis
650 $aMamão
650 $aMandioca
650 $aManihot Esculenta
650 $aMaracujá
650 $aOryza Sativa
650 $aPassiflora Edulis
650 $aPastagem
650 $aPhaseolus Vulgaris
650 $aPinheiro
650 $aPinus Oocarpa
650 $aSeringueira
650 $aSoja
653 $aPara rubber tree
653 $aPines
653 $aSoursop
700 1 $aMOURA, V. P. G.
700 1 $aFIALHO, J. F.
773 $tIn: CONGRESSO BRASILEIRO SOBRE SISTEMAS AGROFLORESTAIS, 1., 1994, Porto Velho. Anais do I Congresso Brasileiro sobre Sistemas Agroflorestais e I Encontro sobre Sistemas Agroflorestais nos Paises do Mercosul. Colombo: EMBRAPA-CNPF / Porto Velho: EMBRAPA-CPAF-RO, 1994.
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Embrapa Cerrados (CPAC) |
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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: |
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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