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Registro Completo |
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Biblioteca(s): |
Embrapa Agroenergia. |
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Data corrente: |
03/08/2020 |
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Data da última atualização: |
04/08/2020 |
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Tipo da produção científica: |
Boletim de Pesquisa e Desenvolvimento |
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Autoria: |
CORREIA, F. H.; CURADO, I. C.; GHESTI, G. F.; BRAGA, P. R. S.; MARINHO, A. L. A.; MATTOS, L. V.; NORONHA, F. B.; SOARES, I. P.; SCHULTZ, E. L. |
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Afiliação: |
Felippe Heimer Correia, Universidade de Brasília; Isabela C. Curado, Universidade de Brasília; Grace F. Ghesti, Universidade de Brasília; Patricia R. S. Braga, Universidade de Brasília; André L. A. Marinho, Universidade Federal do Rio de Janeiro; Lisiane V. Mattos, Universidade Federal Fluminense; Fábio Bellot Noronha; ITANIA PINHEIRO SOARES, CNPAE; EMERSON LEO SCHULTZ, CNPAE. |
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Título: |
Evaluation of nickel content in Ni-Mg-Al mixed oxides in steam reforming of simulated biogas. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Brasília: Embrapa Agroenergia, 2020. |
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Páginas: |
27 p. |
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Série: |
(Embrapa Agroenergia. Boletim de pesquisa e desenvolvimento, 24). |
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ISSN: |
2177-0395 |
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Idioma: |
Inglês |
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Conteúdo: |
Ni-Mg-Al mixed oxides derived from hydrotalcite-like compounds were prepared by a co-precipitation technique, calcined at two temperatures (550 °C and 750 °C) and applied to steam reforming of simulated biogas. Three nickel contents were used in the catalysts (5, 10 and 15%). The catalysts were characterized by X ray fluorescence, N2 sorption techniques, X-ray diffraction and temperature-programmed desorption of CO2. Steam reforming experiments using simulated biogas were carried out at atmospheric pressure and 750 °C, using S/C ratio of 3.2. Catalysts calcined at 750 °C showed nickel and magnesium aluminate phases, resulting in lower density of basic sites. Conversion of CH4 ranged from 97.4 to 99.6% while CO2 conversion ranged from 58.5 to 63.5%. The H2/CO ratio ranged from 2.6 to 3.1. However, the values are not statistically different at a significance level of 0.05. Óxidos mistos de Ni?AMg-Al derivados de compostos tipo hidrotalcita foram preparados, seguindo técnica de coprecipitação, calcinados a duas temperaturas (550 °C e 750 °C) e aplicados a reforma a vapor de biogás simulado. Foram utilizados três teores de níquel (5, 10 e 15%). Os catalisadores foram caracterizados por fluorescência de raios x, adsorção de N2, difratometria de raios X, dessorção à temperatura programada de CO2 e análise termogravimétrica. Os experimentos de reforma a vapor foram conduzidos com biogás simulado, à pressão atmosférica e temperatura de 750 °C, utilizando uma razão molar vapor/carbono de 3,2. Os catalisadores calcinados a 750 °C apresentaram fases de aluminato de níquel e magnésio, resultando em menor densidade de sítios básicos. A conversão de CH4 variou de 97,4 a 99,6%, enquanto a conversão de CO2 variou de 58,5 a 63,5%. A relação H2/CO variou de 2,6 a 3,1. No entanto, os valores encontrados não são estatisticamente diferentes no nível de significância de 0,05. MenosNi-Mg-Al mixed oxides derived from hydrotalcite-like compounds were prepared by a co-precipitation technique, calcined at two temperatures (550 °C and 750 °C) and applied to steam reforming of simulated biogas. Three nickel contents were used in the catalysts (5, 10 and 15%). The catalysts were characterized by X ray fluorescence, N2 sorption techniques, X-ray diffraction and temperature-programmed desorption of CO2. Steam reforming experiments using simulated biogas were carried out at atmospheric pressure and 750 °C, using S/C ratio of 3.2. Catalysts calcined at 750 °C showed nickel and magnesium aluminate phases, resulting in lower density of basic sites. Conversion of CH4 ranged from 97.4 to 99.6% while CO2 conversion ranged from 58.5 to 63.5%. The H2/CO ratio ranged from 2.6 to 3.1. However, the values are not statistically different at a significance level of 0.05. Óxidos mistos de Ni?AMg-Al derivados de compostos tipo hidrotalcita foram preparados, seguindo técnica de coprecipitação, calcinados a duas temperaturas (550 °C e 750 °C) e aplicados a reforma a vapor de biogás simulado. Foram utilizados três teores de níquel (5, 10 e 15%). Os catalisadores foram caracterizados por fluorescência de raios x, adsorção de N2, difratometria de raios X, dessorção à temperatura programada de CO2 e análise termogravimétrica. Os experimentos de reforma a vapor foram conduzidos com biogás simulado, à pressão atmosférica e temperatura de 750 °C, utilizando uma razão molar vapor/carbon... Mostrar Tudo |
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Palavras-Chave: |
Mixed oxides; Steam reforming. |
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Thesagro: |
Biogás; Níquel; Oxido. |
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Thesaurus Nal: |
Catalysts; Nickel; Oxides; Steam. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/215100/1/E-SCHULTZ-SEG-02.12.08.004.00.04-BPD241.pdf
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Marc: |
LEADER 02885nam a2200349 a 4500
001 2124168
005 2020-08-04
008 2020 bl uuuu u0uu1 u #d
022 $a2177-0395
100 1 $aCORREIA, F. H.
245 $aEvaluation of nickel content in Ni-Mg-Al mixed oxides in steam reforming of simulated biogas.$h[electronic resource]
260 $aBrasília: Embrapa Agroenergia$c2020
300 $a27 p.
490 $a(Embrapa Agroenergia. Boletim de pesquisa e desenvolvimento, 24).
520 $aNi-Mg-Al mixed oxides derived from hydrotalcite-like compounds were prepared by a co-precipitation technique, calcined at two temperatures (550 °C and 750 °C) and applied to steam reforming of simulated biogas. Three nickel contents were used in the catalysts (5, 10 and 15%). The catalysts were characterized by X ray fluorescence, N2 sorption techniques, X-ray diffraction and temperature-programmed desorption of CO2. Steam reforming experiments using simulated biogas were carried out at atmospheric pressure and 750 °C, using S/C ratio of 3.2. Catalysts calcined at 750 °C showed nickel and magnesium aluminate phases, resulting in lower density of basic sites. Conversion of CH4 ranged from 97.4 to 99.6% while CO2 conversion ranged from 58.5 to 63.5%. The H2/CO ratio ranged from 2.6 to 3.1. However, the values are not statistically different at a significance level of 0.05. Óxidos mistos de Ni?AMg-Al derivados de compostos tipo hidrotalcita foram preparados, seguindo técnica de coprecipitação, calcinados a duas temperaturas (550 °C e 750 °C) e aplicados a reforma a vapor de biogás simulado. Foram utilizados três teores de níquel (5, 10 e 15%). Os catalisadores foram caracterizados por fluorescência de raios x, adsorção de N2, difratometria de raios X, dessorção à temperatura programada de CO2 e análise termogravimétrica. Os experimentos de reforma a vapor foram conduzidos com biogás simulado, à pressão atmosférica e temperatura de 750 °C, utilizando uma razão molar vapor/carbono de 3,2. Os catalisadores calcinados a 750 °C apresentaram fases de aluminato de níquel e magnésio, resultando em menor densidade de sítios básicos. A conversão de CH4 variou de 97,4 a 99,6%, enquanto a conversão de CO2 variou de 58,5 a 63,5%. A relação H2/CO variou de 2,6 a 3,1. No entanto, os valores encontrados não são estatisticamente diferentes no nível de significância de 0,05.
650 $aCatalysts
650 $aNickel
650 $aOxides
650 $aSteam
650 $aBiogás
650 $aNíquel
650 $aOxido
653 $aMixed oxides
653 $aSteam reforming
700 1 $aCURADO, I. C.
700 1 $aGHESTI, G. F.
700 1 $aBRAGA, P. R. S.
700 1 $aMARINHO, A. L. A.
700 1 $aMATTOS, L. V.
700 1 $aNORONHA, F. B.
700 1 $aSOARES, I. P.
700 1 $aSCHULTZ, E. L.
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Registro original: |
Embrapa Agroenergia (CNPAE) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Mandioca e Fruticultura. Para informações adicionais entre em contato com cnpmf.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Mandioca e Fruticultura. |
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Data corrente: |
15/10/2019 |
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Data da última atualização: |
15/10/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
SILVA, P. P. dos S.; SOUSA, M. B. e; OLIVEIRA, E. J. de. |
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Afiliação: |
PRISCILA PATRÍCIA DOS SANTOS SILVA, UFRB; MASSAINE BANDEIRA E SOUSA, UFRB; EDER JORGE DE OLIVEIRA, CNPMF. |
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Título: |
Prediction models and selection of agronomic and physiological traits for tolerance to water deficit in cassava. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Euphytica, v.215, n.73, 2019. |
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ISSN: |
1573-5060 |
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DOI: |
https://doi.org/10.1007/s10681-019-2399-0(0123456789().,-volV()0123456789().,-volV) |
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Idioma: |
Inglês |
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Conteúdo: |
The development of efficient and accurate strategies for evaluating and predicting the root yield of cassava (Manihot esculenta Crantz) can reduce the effort and time spent on phenotyping complex traits associated with productivity and abiotic stress. The objective of this study was to select phenotypic traits that are highly associated with fresh root yield (FRY) as well as to establish a prediction model of the performance of genotypes under water deficit conditions. A total of 49 cassava genotypes were evaluated in a complete randomized block design, with three replications and two water conditions: well-watered (control-WW) and water deficit. The physiological and agronomic traits were divided into three groups: Phys (all physiological traits); Phys?+?ShY (all physiological traits, with addition of shoot yield) and Phys?+?Agro (all physiological and agronomic traits). They were evaluated using six different predictive models: classification and regression trees, artificial neural network, support vector machines, extreme learning machine (ELM), generalized linear model with stepwise feature selection (GLMSS) and partial least squares (PLS). These same groups, but reduced to only the most important predictive traits, were also analyzed. The most important traits for predicting FRY were number of roots per plant, leaf area index, number of leaves measured in the eighth month, and shoot yield. The selection of the most important traits resulted in the best adjustment of the models, with GLMSS, ELM, and PLS being the models that presented the highest reliability of prediction according to the values of r2?>?0.75 with RMSE ranging from 0.49 to 0.51. MenosThe development of efficient and accurate strategies for evaluating and predicting the root yield of cassava (Manihot esculenta Crantz) can reduce the effort and time spent on phenotyping complex traits associated with productivity and abiotic stress. The objective of this study was to select phenotypic traits that are highly associated with fresh root yield (FRY) as well as to establish a prediction model of the performance of genotypes under water deficit conditions. A total of 49 cassava genotypes were evaluated in a complete randomized block design, with three replications and two water conditions: well-watered (control-WW) and water deficit. The physiological and agronomic traits were divided into three groups: Phys (all physiological traits); Phys?+?ShY (all physiological traits, with addition of shoot yield) and Phys?+?Agro (all physiological and agronomic traits). They were evaluated using six different predictive models: classification and regression trees, artificial neural network, support vector machines, extreme learning machine (ELM), generalized linear model with stepwise feature selection (GLMSS) and partial least squares (PLS). These same groups, but reduced to only the most important predictive traits, were also analyzed. The most important traits for predicting FRY were number of roots per plant, leaf area index, number of leaves measured in the eighth month, and shoot yield. The selection of the most important traits resulted in the best adjustment of the... Mostrar Tudo |
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Thesagro: |
Mandioca. |
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Thesaurus NAL: |
Cassava. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02318naa a2200193 a 4500
001 2113130
005 2019-10-15
008 2019 bl uuuu u00u1 u #d
022 $a1573-5060
024 7 $ahttps://doi.org/10.1007/s10681-019-2399-0(0123456789().,-volV()0123456789().,-volV)$2DOI
100 1 $aSILVA, P. P. dos S.
245 $aPrediction models and selection of agronomic and physiological traits for tolerance to water deficit in cassava.$h[electronic resource]
260 $c2019
520 $aThe development of efficient and accurate strategies for evaluating and predicting the root yield of cassava (Manihot esculenta Crantz) can reduce the effort and time spent on phenotyping complex traits associated with productivity and abiotic stress. The objective of this study was to select phenotypic traits that are highly associated with fresh root yield (FRY) as well as to establish a prediction model of the performance of genotypes under water deficit conditions. A total of 49 cassava genotypes were evaluated in a complete randomized block design, with three replications and two water conditions: well-watered (control-WW) and water deficit. The physiological and agronomic traits were divided into three groups: Phys (all physiological traits); Phys?+?ShY (all physiological traits, with addition of shoot yield) and Phys?+?Agro (all physiological and agronomic traits). They were evaluated using six different predictive models: classification and regression trees, artificial neural network, support vector machines, extreme learning machine (ELM), generalized linear model with stepwise feature selection (GLMSS) and partial least squares (PLS). These same groups, but reduced to only the most important predictive traits, were also analyzed. The most important traits for predicting FRY were number of roots per plant, leaf area index, number of leaves measured in the eighth month, and shoot yield. The selection of the most important traits resulted in the best adjustment of the models, with GLMSS, ELM, and PLS being the models that presented the highest reliability of prediction according to the values of r2?>?0.75 with RMSE ranging from 0.49 to 0.51.
650 $aCassava
650 $aMandioca
700 1 $aSOUSA, M. B. e
700 1 $aOLIVEIRA, E. J. de
773 $tEuphytica$gv.215, n.73, 2019.
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