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 | Acesso ao texto completo restrito à biblioteca da Embrapa Milho e Sorgo. Para informações adicionais entre em contato com cnpms.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Milho e Sorgo. |
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Data corrente: |
04/12/2014 |
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Data da última atualização: |
04/12/2014 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
GUIMARAES, C. C.; SIMEONE, M. L. F.; PARRELLA, R. A. C.; SENA, M. M. |
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Afiliação: |
CRISTIANE DE CARVALHO GUIMARAES, CNPMS; MARIA LUCIA FERREIRA SIMEONE, CNPMS; RAFAEL AUGUSTO DA COSTA PARRELLA, CNPMS. |
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Título: |
Use of NIRS to predict composition and bioethanol yield from cell wall structural components of sweet sorghum biomass. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Microchemical Journal, New York, v. 117, p. 194-201, 2014. |
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DOI: |
10.1016/j.microc.2014.06.029 |
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Idioma: |
Inglês |
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Conteúdo: |
Sweet sorghum biomass is gaining importance as feedstock for second generation bioethanol production. Consequently, breeding programs are seeking to improve the quality of this feedstock in order to increase the productivity, with the generation of a great number of samples to be analyzed. Thus, this paper developed rapid and low cost methods based on partial least squares (PLS) and near infrared reflectance spectroscopy for determining cellulose, hemicellulose, lignin and theoretical ethanol yield (TEY) in sorghum biomass. The models were built with 957 samples, obtained from more than 100 hybrids and inbred strains, in the ranges of 21.4–49.1% w/w, 18.4–34.8% w/w, 1.8–11.5% w/w and 221–412 L t?1 for cellulose, hemicellulose, lignin and TEY, respectively. These models presented root mean square errors of prediction of 1.5%, 1.7%, 0.8% and 12 L t?1 (and ranges of relative errors of prediction between ?5.3 and 6.5%, ?9.8 and 12.2%, ?28.8 and 37.6%, and?5.6 and 6.1%), respectively. The methods were submitted to a complete multivariate analytical validation in accordance with the Brazilian and international guidelines, and considered accurate, linear, sensitive and unbiased. Finally the stability of these methods was monitored for approximately six months by developing appropriate control charts. |
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Palavras-Chave: |
Espectroscopia no infravermelho próximo; Multivariate analytical validation; Near infrared spectroscopy; Saccharine sorghum; Sorgo sacarino; Validação analítica multivariada. |
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Thesagro: |
Biocombustível; Celulose; Lignina; Sorgo açucareiro. |
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Thesaurus Nal: |
Biofuels; Cellulose; Lignin. |
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Categoria do assunto: |
W Química e Física |
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Marc: |
LEADER 02353naa a2200325 a 4500
001 2001603
005 2014-12-04
008 2014 bl uuuu u00u1 u #d
024 7 $a10.1016/j.microc.2014.06.029$2DOI
100 1 $aGUIMARAES, C. C.
245 $aUse of NIRS to predict composition and bioethanol yield from cell wall structural components of sweet sorghum biomass.$h[electronic resource]
260 $c2014
520 $aSweet sorghum biomass is gaining importance as feedstock for second generation bioethanol production. Consequently, breeding programs are seeking to improve the quality of this feedstock in order to increase the productivity, with the generation of a great number of samples to be analyzed. Thus, this paper developed rapid and low cost methods based on partial least squares (PLS) and near infrared reflectance spectroscopy for determining cellulose, hemicellulose, lignin and theoretical ethanol yield (TEY) in sorghum biomass. The models were built with 957 samples, obtained from more than 100 hybrids and inbred strains, in the ranges of 21.4–49.1% w/w, 18.4–34.8% w/w, 1.8–11.5% w/w and 221–412 L t?1 for cellulose, hemicellulose, lignin and TEY, respectively. These models presented root mean square errors of prediction of 1.5%, 1.7%, 0.8% and 12 L t?1 (and ranges of relative errors of prediction between ?5.3 and 6.5%, ?9.8 and 12.2%, ?28.8 and 37.6%, and?5.6 and 6.1%), respectively. The methods were submitted to a complete multivariate analytical validation in accordance with the Brazilian and international guidelines, and considered accurate, linear, sensitive and unbiased. Finally the stability of these methods was monitored for approximately six months by developing appropriate control charts.
650 $aBiofuels
650 $aCellulose
650 $aLignin
650 $aBiocombustível
650 $aCelulose
650 $aLignina
650 $aSorgo açucareiro
653 $aEspectroscopia no infravermelho próximo
653 $aMultivariate analytical validation
653 $aNear infrared spectroscopy
653 $aSaccharine sorghum
653 $aSorgo sacarino
653 $aValidação analítica multivariada
700 1 $aSIMEONE, M. L. F.
700 1 $aPARRELLA, R. A. C.
700 1 $aSENA, M. M.
773 $tMicrochemical Journal, New York$gv. 117, p. 194-201, 2014.
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Embrapa Milho e Sorgo (CNPMS) |
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| 8. |  | VILAÇA, R.; ÁVILA, A. C. Interceptações de vírus em ornamentais no sistema de quarentena da Embrapa-Cenargen no período de 2008 e 2009. In: CONGRESSO BRASILEIRO DE FLORICULTURA E PLANTAS ORNAMENTAIS, 17.; CONGRESSO BRASILEIRO DE CULTURA DE TECIDOS DE PLANTAS, 4., 2009, Aracaju. Ciência, inovação e sustentabilidade: [anais]. Aracaju: Embrapa Tabuleiros Costeiros; Cruz das Almas: Embrapa Mandioca e Fruticultura Tropical, 2009. 1 CD-ROM. (Embrapa Tabuleiros Costeiros. Documentos, 150). Organizadores: Ana da Silva Lédo; Fernanda Vidigal D. Souza; Vivian Loges; Everton Hilo de Souza; Ana Cecília R. de Castro.| Tipo: Resumo em Anais de Congresso |
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| 10. | | AVILA, A. C. de; DUSI, A. N. Produção de anti-soros para diagnóstico de patógeno: perspectivas no Brasil. In: AVANCES EN LA PRODUCCIÓN DE SEMILLA PREBÁSICA DE PAPA EN LOS PAÍSES DEL CONE SUR; CoordenaciÓn de actividades sobre semillas de papa en el ambiente del PROCIPA, 1987, Canoinhas, SC. Avances en la producción de tuberculo-semilla de papa en los paises del Cono Sur: memorias. Lima: CIP, 1989. p.113-114. Editado por Oscar A. Hidalgo, Hernán Rincón R.| Tipo: Resumo em Anais de Congresso |
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| Registros recuperados : 397 | |
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