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Registro Completo |
Biblioteca(s): |
Embrapa Milho e Sorgo. |
Data corrente: |
20/07/2016 |
Data da última atualização: |
24/02/2017 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
GUIMARAES, C. C.; ASSIS, C.; SIMEONE, M. L. F.; SENA, M. M. |
Afiliação: |
MARIA LUCIA FERREIRA SIMEONE, CNPMS. |
Título: |
Use of near-infrared spectroscopy, partial least-squares, and ordered predictors selection to predict four quality parameters of sweet sorghum juice used to produce bioethanol. |
Ano de publicação: |
2016 |
Fonte/Imprenta: |
Energy & Fuels, Washington, v. 30, p. 4137- 4144, 2016. |
DOI: |
10.1021/acs.energyfuels.6b00408 |
Idioma: |
Inglês |
Conteúdo: |
Sweet sorghum juice is gaining importance as a raw material for the first-generation ethanol production in the period between harvests of sugar cane. Breeding programs are seeking to improve sorghum quality to increase productivity, what has generated an excessive number of samples to be analyzed. Thus, the aim of this paper was to develop rapid and low-cost methods based on partial least-squares (PLS) and near-infrared spectroscopy (NIRS) for the determination of four quality chemical parameters of sweet sorghum. Spectra were recorded with a transflectance accessory, and robust models were built with 500 samples obtained from more than 200 hybrids and inbred strains. Optimization by variable selection was carried out with ordered predictors selection (OPS), providing simpler, more interpretable and predictive multivariate calibration models. The methods were developed in the working ranges of 5.5−18.1° Brix, 1.2−5.2%, 0.3−13.0%, and 9.8−83.0% for degrees Brix, reducing sugars, polarizable sugars, and apparent purity, respectively. Root-mean-square errors of prediction (RMSEP) of 0.3° Brix, 0.3%, 0.6%, and 5.3% were obtained for these four parameters, respectively. Finally, a complete multivariate analytical validation was carried out, and the methods were considered linear, accurate, sensitive, and without bias. |
Thesagro: |
Análise de Laboratório; Etanol; Química; Sorgo açucareiro. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02105naa a2200217 a 4500 001 2049288 005 2017-02-24 008 2016 bl uuuu u00u1 u #d 024 7 $a10.1021/acs.energyfuels.6b00408$2DOI 100 1 $aGUIMARAES, C. C. 245 $aUse of near-infrared spectroscopy, partial least-squares, and ordered predictors selection to predict four quality parameters of sweet sorghum juice used to produce bioethanol.$h[electronic resource] 260 $c2016 520 $aSweet sorghum juice is gaining importance as a raw material for the first-generation ethanol production in the period between harvests of sugar cane. Breeding programs are seeking to improve sorghum quality to increase productivity, what has generated an excessive number of samples to be analyzed. Thus, the aim of this paper was to develop rapid and low-cost methods based on partial least-squares (PLS) and near-infrared spectroscopy (NIRS) for the determination of four quality chemical parameters of sweet sorghum. Spectra were recorded with a transflectance accessory, and robust models were built with 500 samples obtained from more than 200 hybrids and inbred strains. Optimization by variable selection was carried out with ordered predictors selection (OPS), providing simpler, more interpretable and predictive multivariate calibration models. The methods were developed in the working ranges of 5.5−18.1° Brix, 1.2−5.2%, 0.3−13.0%, and 9.8−83.0% for degrees Brix, reducing sugars, polarizable sugars, and apparent purity, respectively. Root-mean-square errors of prediction (RMSEP) of 0.3° Brix, 0.3%, 0.6%, and 5.3% were obtained for these four parameters, respectively. Finally, a complete multivariate analytical validation was carried out, and the methods were considered linear, accurate, sensitive, and without bias. 650 $aAnálise de Laboratório 650 $aEtanol 650 $aQuímica 650 $aSorgo açucareiro 700 1 $aASSIS, C. 700 1 $aSIMEONE, M. L. F. 700 1 $aSENA, M. M. 773 $tEnergy & Fuels, Washington$gv. 30, p. 4137- 4144, 2016.
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Embrapa Milho e Sorgo (CNPMS) |
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Registro Completo
Biblioteca(s): |
Embrapa Amazônia Oriental. |
Data corrente: |
17/02/2009 |
Data da última atualização: |
22/11/2022 |
Tipo da produção científica: |
Artigo em Anais de Congresso / Nota Técnica |
Autoria: |
MARCONDES, C. R.; ARAÚJO, R. O.; VOZZI, P. A.; GUNSKI, R. J.; GARNERO, A. del V.; BEZERRA, L. A. F.; LÔBO, R. B. |
Afiliação: |
CINTIA RIGHETTI MARCONDES, CPATU; Ronyere Olegário Araújo, pós-graduanda UFSM; Pedro Alejandro Vozzi, pós-graduanda USP; Ricardo José Gunski, UNIPAMPA; Analía Del Valle Garnero, UNIPAMPA; Luiz Antônio Framartino Bezerra, USP; Raysildo Barbosa Lôbo, ANCP. |
Título: |
Estudo do período de aquecimento e tomada de amostra para característica que associa peso e perímetro escrotal na raça Nelore. |
Ano de publicação: |
2008 |
Fonte/Imprenta: |
In: SIMPÓSIO BRASILEIRO DE MELHORAMENTO ANIMAL, 7., 2008, São Carlos, SP. Anais... São Carlos, SP: SBMA: Embrapa Pecuária Sudeste, 2008. |
Idioma: |
Português |
Notas: |
Disponível também on-line. |
Palavras-Chave: |
Brasil. |
Thesagro: |
Bovino; Gado de Corte; Genética Animal; Parâmetro Genético; Pecuária. |
Thesaurus NAL: |
Amazonia. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/30597/1/EstudoAquecimentoTomada.pdf
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Marc: |
LEADER 00911nam a2200265 a 4500 001 1409905 005 2022-11-22 008 2008 bl uuuu u00u1 u #d 100 1 $aMARCONDES, C. R. 245 $aEstudo do período de aquecimento e tomada de amostra para característica que associa peso e perímetro escrotal na raça Nelore.$h[electronic resource] 260 $aIn: SIMPÓSIO BRASILEIRO DE MELHORAMENTO ANIMAL, 7., 2008, São Carlos, SP. Anais... São Carlos, SP: SBMA: Embrapa Pecuária Sudeste$c2008 500 $aDisponível também on-line. 650 $aAmazonia 650 $aBovino 650 $aGado de Corte 650 $aGenética Animal 650 $aParâmetro Genético 650 $aPecuária 653 $aBrasil 700 1 $aARAÚJO, R. O. 700 1 $aVOZZI, P. A. 700 1 $aGUNSKI, R. J. 700 1 $aGARNERO, A. del V. 700 1 $aBEZERRA, L. A. F. 700 1 $aLÔBO, R. B.
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