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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; Embrapa Trigo. |
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Data corrente: |
01/08/2024 |
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Data da última atualização: |
01/08/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SIMEONE, M. L. F.; PIMENTEL, M. A. G.; QUEIROZ, V. A. V.; SANTOS, F.; BRITO, A.; AQUINO, L. F. M.; CUNHA FILHO, J. C. E. da; MENEZES, C. B. de; PAES, M. C. D.; TIBOLA, C. S.; GUIMARAES, P. E. de O.; TRINDADE, R. dos S. |
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Afiliação: |
MARIA LUCIA FERREIRA SIMEONE, CNPMS; MARCO AURELIO GUERRA PIMENTEL, CNPMS; VALERIA APARECIDA VIEIRA QUEIROZ, CNPMS; FRANCINE SANTOS, SPECTRAL SOLUTIONS; ANNELISA BRITO, SPECTRAL SOLUTIONS; LUIZ FELIPE M. AQUINO, SPECTRAL SOLUTIONS; JÚLIO CEZAR ELIAS DA CUNHA FILHO, SPECTRAL SOLUTIONS; CICERO BESERRA DE MENEZES, CNPMS; MARIA CRISTINA DIAS PAES, CNPMS; CASIANE SALETE TIBOLA, CNPT; PAULO EVARISTO DE O GUIMARAES, CNPMS; ROBERTO DOS SANTOS TRINDADE, CNPMS. |
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Título: |
Portable near-infrared (NIR) spectroscopy and multivariate calibration for reliable quality control of maize and sorghum grain chemical composition. |
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Ano de publicação: |
2024 |
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Fonte/Imprenta: |
Journal of Food Composition and Analysis, v. 134, 106502, 2024. |
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DOI: |
https://doi.org/10.1016/j.jfca.2024.106502 |
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Idioma: |
Inglês |
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Conteúdo: |
Portable near-infrared (NIR) spectroscopy combined with multivariate calibration was used to determine the chemical composition of maize and sorghum grains of different genotypes cultivated in Brazil. Partial least squares (PLS) models were built, and the maize models exhibited R2 > 0.90 for all constituents except starch. For sorghum, the R2 was > 0.8 for all componentes. The Residual Prediction to Deviation (RPD) values and the Range Error Ratio (RER) values for all maize and sorghum calibration models exceeded 2.5 and 10, respectively, indicating the models’ reliability for routine laboratory implementation. No significant differences were found between the results obtained by the PLS models and the reference methods for any analyzed constituents in the maize and sorghum grains. These results demonstrate that the MicroNIR instrument is a viable tool for quality control of chemical composition in maize and sorghum grain samples. It offers the advantages of speed, nondestructiveness, and being a green alternative to standard methods. |
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Palavras-Chave: |
Análise de alimentos; Handheld near-infrared; Medição infravermelha próxima portátil; Partial Least Square (PLS); Quimiometria. |
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Thesagro: |
Cereal; Composição Química. |
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Thesaurus Nal: |
Chemical composition; Chemometrics; Food analysis. |
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Categoria do assunto: |
W Química e Física |
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Marc: |
LEADER 02313naa a2200385 a 4500
001 2166151
005 2024-08-01
008 2024 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.jfca.2024.106502$2DOI
100 1 $aSIMEONE, M. L. F.
245 $aPortable near-infrared (NIR) spectroscopy and multivariate calibration for reliable quality control of maize and sorghum grain chemical composition.$h[electronic resource]
260 $c2024
520 $aPortable near-infrared (NIR) spectroscopy combined with multivariate calibration was used to determine the chemical composition of maize and sorghum grains of different genotypes cultivated in Brazil. Partial least squares (PLS) models were built, and the maize models exhibited R2 > 0.90 for all constituents except starch. For sorghum, the R2 was > 0.8 for all componentes. The Residual Prediction to Deviation (RPD) values and the Range Error Ratio (RER) values for all maize and sorghum calibration models exceeded 2.5 and 10, respectively, indicating the models’ reliability for routine laboratory implementation. No significant differences were found between the results obtained by the PLS models and the reference methods for any analyzed constituents in the maize and sorghum grains. These results demonstrate that the MicroNIR instrument is a viable tool for quality control of chemical composition in maize and sorghum grain samples. It offers the advantages of speed, nondestructiveness, and being a green alternative to standard methods.
650 $aChemical composition
650 $aChemometrics
650 $aFood analysis
650 $aCereal
650 $aComposição Química
653 $aAnálise de alimentos
653 $aHandheld near-infrared
653 $aMedição infravermelha próxima portátil
653 $aPartial Least Square (PLS)
653 $aQuimiometria
700 1 $aPIMENTEL, M. A. G.
700 1 $aQUEIROZ, V. A. V.
700 1 $aSANTOS, F.
700 1 $aBRITO, A.
700 1 $aAQUINO, L. F. M.
700 1 $aCUNHA FILHO, J. C. E. da
700 1 $aMENEZES, C. B. de
700 1 $aPAES, M. C. D.
700 1 $aTIBOLA, C. S.
700 1 $aGUIMARAES, P. E. de O.
700 1 $aTRINDADE, R. dos S.
773 $tJournal of Food Composition and Analysis$gv. 134, 106502, 2024.
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Embrapa Milho e Sorgo (CNPMS) |
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| 1. |  | RAMOS, A. F. O.; TERRY, S. A.; HOLMAN, D. B.; BREVES, G.; PEREIRA, L. G. R.; SILVA, A. G. M.; CHAVES, A. V. Tucumã oil shifted ruminal fermentation, reducing methane production and altering the microbiome but decreased substrate digestibility within a RUSITEC fed a mixed hay - concentrate diet. Frontiers in Microbiology, v. 9, article 1647, 2018. 11 p.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
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