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Registro Completo |
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Biblioteca(s): |
Embrapa Clima Temperado. |
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Data corrente: |
19/01/2015 |
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Data da última atualização: |
19/01/2015 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
ANTUNES, W. R.; SCHOFFEL, E. R.; SILVA, S. D. dos A. e; EICHOLZ, E. D. |
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Afiliação: |
William Rodrigues Antunes, UFPEL; Edgar Ricardo Schoffel, UFPEL; SERGIO DELMAR DOS ANJOS E SILVA, CPACT; EBERSON DIEDRICH EICHOLZ, CPACT. |
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Título: |
Desempenho produtivo de genótipos de cana-de-açúcar (Saccharum spp.) na região noroeste do Rio Grande do Sul, safra 2012/13. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
In: SIMPÓSIO ESTADUAL DE AGROENERGIA; REUNIÃO TÉCNICA DE AGROENERGIA - RS, 5.; ENCONTRO DE ENERGIAS RENOVÁVEIS NA AGRICULTURA FAMILIAR, 2., Pelotas, 2014. Anais... Pelotas: Embrapa Clima Temperado, 2014. 1 pen card. |
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Idioma: |
Português |
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Palavras-Chave: |
Cana-de-açúcar. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/115917/1/103.pdf
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Marc: |
LEADER 00697nam a2200145 a 4500
001 2006027
005 2015-01-19
008 2014 bl uuuu u00u1 u #d
100 1 $aANTUNES, W. R.
245 $aDesempenho produtivo de genótipos de cana-de-açúcar (Saccharum spp.) na região noroeste do Rio Grande do Sul, safra 2012/13.$h[electronic resource]
260 $aIn: SIMPÓSIO ESTADUAL DE AGROENERGIA; REUNIÃO TÉCNICA DE AGROENERGIA - RS, 5.; ENCONTRO DE ENERGIAS RENOVÁVEIS NA AGRICULTURA FAMILIAR, 2., Pelotas, 2014. Anais... Pelotas: Embrapa Clima Temperado, 2014. 1 pen card.$c2014
653 $aCana-de-açúcar
700 1 $aSCHOFFEL, E. R.
700 1 $aSILVA, S. D. dos A. e
700 1 $aEICHOLZ, E. D.
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Registro original: |
Embrapa Clima Temperado (CPACT) |
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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: |
MERCANTE, L. A.; ANDRE, R. S.; FACURE, M. H. M.; FUGIKAWA-SANTOS, L.; CORREA, D. S. |
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Afiliação: |
DANIEL SOUZA CORREA, CNPDIA. |
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Título: |
Design of a bioelectronic tongue for glucose monitoring using zinc oxide nanofibers and graphene derivatives. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Sensors and Actuators Reports, v. 3, 100050, 2021. |
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ISSN: |
2666-0539 |
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DOI: |
https://doi.org/10.1016/j.snr.2021.100050 |
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Idioma: |
Inglês |
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Conteúdo: |
Monitoring glucose levels is critical for diabetes management and might be a key step in the development of individualized treatment strategies. In this scenario, tracking salivary glucose has been recognized as a promising strategy due to its merits of ease sampling and non-invasive nature. In this paper, we report on the development of an electrical impedance-based biosensor array to distinguish glucose at different concentrations in saliva. The enzymatic biosensors were made of gold interdigitated electrodes coated with pristine electrospun zinc oxide nanofibers (NFZ) and NFZ combined with graphene-based nanomaterials (i.e., reduced graphene oxide - rGO and graphene quantum dots - GQDs), on which a layer of glucose oxidase (GOx) enzyme was adsorbed. Electrical impedance measurements indicate that the NFZ-GQDs@GOx and NFZ-rGO@GOx platforms presented good linear relationship with glucose concentration in the range of 0.1 to 6 mM. The highest sensitivity was reached for NFZ-rGO@GOx with a detection limit (LOD) of 14 μM, while the LOD was 32 μM for NFZ-GQDs@GOx. Both biosensors were also capable of detecting glucose in artificial saliva using aliquots of 10 μL, with recovery between 87.3 and 106.8%. Furthermore, the three sensing units (NFZ@GOx, NFZ-rGO@GOx and NFZ-GQDs@GOx) were employed to build a bioelectronic tongue. Using Principal Component Analysis (PCA) technique to project the electrical impedance data of all sensing units allowed the discrimination of the different glucose concentrations and interferents. This study reveals the applicability of the developed bioelectronic tongue as noninvasive glucose sensors, which approach could also be pottentially adapted to detect other disease biomarkers present in saliva MenosMonitoring glucose levels is critical for diabetes management and might be a key step in the development of individualized treatment strategies. In this scenario, tracking salivary glucose has been recognized as a promising strategy due to its merits of ease sampling and non-invasive nature. In this paper, we report on the development of an electrical impedance-based biosensor array to distinguish glucose at different concentrations in saliva. The enzymatic biosensors were made of gold interdigitated electrodes coated with pristine electrospun zinc oxide nanofibers (NFZ) and NFZ combined with graphene-based nanomaterials (i.e., reduced graphene oxide - rGO and graphene quantum dots - GQDs), on which a layer of glucose oxidase (GOx) enzyme was adsorbed. Electrical impedance measurements indicate that the NFZ-GQDs@GOx and NFZ-rGO@GOx platforms presented good linear relationship with glucose concentration in the range of 0.1 to 6 mM. The highest sensitivity was reached for NFZ-rGO@GOx with a detection limit (LOD) of 14 μM, while the LOD was 32 μM for NFZ-GQDs@GOx. Both biosensors were also capable of detecting glucose in artificial saliva using aliquots of 10 μL, with recovery between 87.3 and 106.8%. Furthermore, the three sensing units (NFZ@GOx, NFZ-rGO@GOx and NFZ-GQDs@GOx) were employed to build a bioelectronic tongue. Using Principal Component Analysis (PCA) technique to project the electrical impedance data of all sensing units allowed the discrimination of the different ... Mostrar Tudo |
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Palavras-Chave: |
Electrospinning; Electrospinning Electrospun nanofibers; Reduced graphene oxide. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02503naa a2200229 a 4500
001 2135416
005 2022-06-09
008 2021 bl uuuu u00u1 u #d
022 $a2666-0539
024 7 $ahttps://doi.org/10.1016/j.snr.2021.100050$2DOI
100 1 $aMERCANTE, L. A.
245 $aDesign of a bioelectronic tongue for glucose monitoring using zinc oxide nanofibers and graphene derivatives.$h[electronic resource]
260 $c2021
520 $aMonitoring glucose levels is critical for diabetes management and might be a key step in the development of individualized treatment strategies. In this scenario, tracking salivary glucose has been recognized as a promising strategy due to its merits of ease sampling and non-invasive nature. In this paper, we report on the development of an electrical impedance-based biosensor array to distinguish glucose at different concentrations in saliva. The enzymatic biosensors were made of gold interdigitated electrodes coated with pristine electrospun zinc oxide nanofibers (NFZ) and NFZ combined with graphene-based nanomaterials (i.e., reduced graphene oxide - rGO and graphene quantum dots - GQDs), on which a layer of glucose oxidase (GOx) enzyme was adsorbed. Electrical impedance measurements indicate that the NFZ-GQDs@GOx and NFZ-rGO@GOx platforms presented good linear relationship with glucose concentration in the range of 0.1 to 6 mM. The highest sensitivity was reached for NFZ-rGO@GOx with a detection limit (LOD) of 14 μM, while the LOD was 32 μM for NFZ-GQDs@GOx. Both biosensors were also capable of detecting glucose in artificial saliva using aliquots of 10 μL, with recovery between 87.3 and 106.8%. Furthermore, the three sensing units (NFZ@GOx, NFZ-rGO@GOx and NFZ-GQDs@GOx) were employed to build a bioelectronic tongue. Using Principal Component Analysis (PCA) technique to project the electrical impedance data of all sensing units allowed the discrimination of the different glucose concentrations and interferents. This study reveals the applicability of the developed bioelectronic tongue as noninvasive glucose sensors, which approach could also be pottentially adapted to detect other disease biomarkers present in saliva
653 $aElectrospinning
653 $aElectrospinning Electrospun nanofibers
653 $aReduced graphene oxide
700 1 $aANDRE, R. S.
700 1 $aFACURE, M. H. M.
700 1 $aFUGIKAWA-SANTOS, L.
700 1 $aCORREA, D. S.
773 $tSensors and Actuators Reports$gv. 3, 100050, 2021.
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