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Registro Completo |
Biblioteca(s): |
Embrapa Instrumentação. |
Data corrente: |
23/06/2021 |
Data da última atualização: |
10/06/2022 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
CONTI, P. P.; ANDRÉ, R. S.; MERCANTE, L. A.; FUGIKAWA-SANTOS, L.; CORREA, D. S. |
Afiliação: |
DANIEL SOUZA CORREA, CNPDIA. |
Título: |
Discriminative detection of volatile organic compounds using an electronic nose based on TiO2 hybrid nanostructures. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
Sensors and Actuators: B. Chemical, v. 344, e130124, 2021. |
ISSN: |
0925-4005 |
DOI: |
https://doi.org/10.1016/j.snb.2021.130124 |
Idioma: |
Inglês |
Conteúdo: |
Volatile organic compounds (VOCs) are environmental pollutants that pose risks to the human health even at very low concentrations. Therefore, fast and sensitive analytical methods capable to discriminate VOCs are highly demanded. Herein, we have successfully synthetized and characterized TiO2 nanofibers (NF) by electrospinning and TiO2 nanoparticles (NP) by sol-gel method to be employed in an electronic nose (e-nose) for monitoring VOCs. Electrical comparison between TiO2-NF and TiO2-NP indicated that the former presented better electrical response, which can be attributed to the better charge transfer along the nanofiber framework. The TiO2 nanostructures were combined with three different polymers, namely poly(3,4- ethylenedioxythiophene):polystyrene sulfonate (PEDOT:PSS), polypyrrole (PPy), and polystyrene sulfonate (PSS), which obtained nanocomposites were deposit by drop casting onto gold interdigitated electrodes and used as sensing units of the e-nose. Electrical impedance spectroscopy measurements were employed to collect the enose electrical resistance data, which were treated by Principal Component Analysis (PCA), revealing the system was able to discriminate the three VOCs. Our results indicate that the e-nose system has potential to be employed as a rapid and simple alternative in the detection of VOCs. |
Palavras-Chave: |
E-nose; TiO2 nanofibers; TiO2 nanoparticles; VOCs sensor. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02092naa a2200241 a 4500 001 2132522 005 2022-06-10 008 2021 bl uuuu u00u1 u #d 022 $a0925-4005 024 7 $ahttps://doi.org/10.1016/j.snb.2021.130124$2DOI 100 1 $aCONTI, P. P. 245 $aDiscriminative detection of volatile organic compounds using an electronic nose based on TiO2 hybrid nanostructures.$h[electronic resource] 260 $c2021 520 $aVolatile organic compounds (VOCs) are environmental pollutants that pose risks to the human health even at very low concentrations. Therefore, fast and sensitive analytical methods capable to discriminate VOCs are highly demanded. Herein, we have successfully synthetized and characterized TiO2 nanofibers (NF) by electrospinning and TiO2 nanoparticles (NP) by sol-gel method to be employed in an electronic nose (e-nose) for monitoring VOCs. Electrical comparison between TiO2-NF and TiO2-NP indicated that the former presented better electrical response, which can be attributed to the better charge transfer along the nanofiber framework. The TiO2 nanostructures were combined with three different polymers, namely poly(3,4- ethylenedioxythiophene):polystyrene sulfonate (PEDOT:PSS), polypyrrole (PPy), and polystyrene sulfonate (PSS), which obtained nanocomposites were deposit by drop casting onto gold interdigitated electrodes and used as sensing units of the e-nose. Electrical impedance spectroscopy measurements were employed to collect the enose electrical resistance data, which were treated by Principal Component Analysis (PCA), revealing the system was able to discriminate the three VOCs. Our results indicate that the e-nose system has potential to be employed as a rapid and simple alternative in the detection of VOCs. 653 $aE-nose 653 $aTiO2 nanofibers 653 $aTiO2 nanoparticles 653 $aVOCs sensor 700 1 $aANDRÉ, R. S. 700 1 $aMERCANTE, L. A. 700 1 $aFUGIKAWA-SANTOS, L. 700 1 $aCORREA, D. S. 773 $tSensors and Actuators: B. Chemical$gv. 344, e130124, 2021.
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1. | | GÓMEZ, J. F. M.; CÔNSOLO, N. R. B.; ANTONELO, D. S.; BELINE, M.; GAGAOUA, M.; HIGUERA-PADILLA, A.; COLNAGO, L. A.; GERRARD, D. E.; SILVA, S. L. Impact of cattle feeding strategy on the beef metabolome. Metabolites, v. 12, 640, 2022. 14 p.Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 4 |
Biblioteca(s): Embrapa Instrumentação. |
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2. | | ANTONELO, D. S.; CÔNSOLO, N. R. B.; GÓMEZ, J. F. M.; BELINE, M.; PAVAN, B.; SOUZA, C.; GOULART, R. S.; COLNAGO, L. A.; SILVA, S. L. NMR-based metabolomics to assess metabolites correlated with beef sensory properties. In: INTERNATIONAL CONGRESS OF MEAT SCIENCE AND TECHNOLOGY, INCOMST, 65., Postdam, Alemanha, 2019, 7 p.Tipo: Artigo em Anais de Congresso |
Biblioteca(s): Embrapa Instrumentação. |
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3. | | ANTONELO, D. S.; CÔNSOLO, D. S.; GÓMEZ, J. F. M.; BELINE, M.; PAVAN; SOUZA, C.; GOULART, R. S.; COLNAGO, L. A.; SILVA, S. L. Meat metabolomic pathway of Nellore and crossbred Angus x Nellore cattle. In: INTERNATIONAL CONGRESS OF MEAT SCIENCE AND TECHNOLOGY, INCOMST, 65., Postdam, Alemanha, 2019, 7 P.Tipo: Artigo em Anais de Congresso |
Biblioteca(s): Embrapa Instrumentação. |
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4. | | CÔNSOLO, N. R. B.; BUARQUE, V. L. M.; SILVA, J.; POLETI, M. D.; BARBOSA, L. C. G. S.; HIGUERA-PADILLA, A.; GOMEZ, J. F. M.; COLNAGO, L. A.; GERRARD, D. E.; SARAN NETO, A.; SILVA, S. L. Muscle and liver metabolomic signatures associated with residual feed intake in Nellore cattle. Animal Feed Science and Technology, v. 271, 114757, 2021.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Instrumentação. |
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5. | | ANTONELO, D. S.; CÔNSOLO, N. R. B.; GÓMEZ, J. F. M.; BELINE, M.; GOULART, R. S.; CORTE, R. R. P. S.; COLNAGO, L. A.; SCHILLING, M. W.; GERRARD, D. E.; SILVA, S. L. Metabolite profile and consumer sensory acceptability of meat from lean Nellore and Angus × Nellore crossbreed cattle fed soybean oil. Food Research International, v. 132, a. 109056, 2020. 1 - 9Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
Biblioteca(s): Embrapa Instrumentação. |
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6. | | ANTONELO, D. S.; GÓMEZ, J. F. M.; CÔNSOLO, N. R. B.; BELINE, M.; COLNAGO, L. A.; SCHILLING, M. W.; ZHANG, X.; SUMAN, S. P.; GERRARD, D. E.; BAILEIRO, J. C. C.; SILVA, S. L. Metabolites and metabolic pathways correlated with beef tenderness. Meat and Muscle Biology, v. 4, n. 1, a. 19, 2020. 1 - 9Tipo: Artigo em Periódico Indexado |
Biblioteca(s): Embrapa Instrumentação. |
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Registros recuperados : 6 | |
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