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| Registros recuperados : 217 | |
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Registro Completo
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Biblioteca(s): |
Epagri-Sede. |
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Data corrente: |
30/01/2018 |
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Data da última atualização: |
30/01/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
Nacional - B |
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Autoria: |
SOUZA, M.; KUHNEN, S.; KAZAMAB, D. C. S.; KURTZ, C.; TRAPPA, T.; MÜLLER JÚNIOR, V.; COMIN, J. J. |
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Título: |
PREDIÇÃO DOS TEORES DE COMPOSTOS FENÓLICOS E FLAVONOIDES NA PARTE AÉREA DAS ESPÉCIES Secale cereale L., Avena strigosa L. E Raphanus sativus L. POR MEIO DE ESPECTROSCOPIA NO INFRAVERMELHO PRÓXIMO (NIR). |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
Química Nova, São Paulo, SP, v. 15, p. 1-8, 2017. |
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Idioma: |
Português |
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Conteúdo: |
Spectroscopy associated with chemometrics is a non-destructive method of the samples for the prediction of phenolic compounds. The objective of the work was to
apply the near infrared spectroscopy (NIR) technique for the prediction of phenolic compounds and flavonoids in aerial part samples
of cover crops plants Raphanus sativus L., Secale cereale L. and Avena strigosa L. Samples were collected at 60, 80 and 100 days
after sowing (DAS) of the plants and, after lodging (DAA), at 15 and 30 days, in an experiment implanted in the feld, in the city
of Ituporanga, Santa Catarina. The samples were homogenized, identifed, transported on dry ice, lyophilized, crushed, sieved and
stored at -20 °C for analysis. For the calibration, 84 samples were used and for the validation 10 samples. The combination of NIR
spectroscopy and multivariate analysis by partial least squares regression allowed the development of prediction models of phenolics
and flavonoids with associated errors averaging 10%. NIR spectroscopy is recommended for the development of calibration models
because it allows to non-destructive infer phenolic and total flavonoid contents, with high analytical frequency, without the use of
reagents and other inputs required by the reference method, with results very close to those obtained in the laboratory. |
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Palavras-Chave: |
chemometrics; cover crops; ectance; multivariate analysis. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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Marc: |
LEADER 02143naa a2200241 a 4500
001 1126997
005 2018-01-30
008 2017 bl uuuu u00u1 u #d
100 1 $aSOUZA, M.
245 $aPREDIÇÃO DOS TEORES DE COMPOSTOS FENÓLICOS E FLAVONOIDES NA PARTE AÉREA DAS ESPÉCIES Secale cereale L., Avena strigosa L. E Raphanus sativus L. POR MEIO DE ESPECTROSCOPIA NO INFRAVERMELHO PRÓXIMO (NIR).$h[electronic resource]
260 $c2017
520 $aSpectroscopy associated with chemometrics is a non-destructive method of the samples for the prediction of phenolic compounds. The objective of the work was to apply the near infrared spectroscopy (NIR) technique for the prediction of phenolic compounds and flavonoids in aerial part samples of cover crops plants Raphanus sativus L., Secale cereale L. and Avena strigosa L. Samples were collected at 60, 80 and 100 days after sowing (DAS) of the plants and, after lodging (DAA), at 15 and 30 days, in an experiment implanted in the feld, in the city of Ituporanga, Santa Catarina. The samples were homogenized, identifed, transported on dry ice, lyophilized, crushed, sieved and stored at -20 °C for analysis. For the calibration, 84 samples were used and for the validation 10 samples. The combination of NIR spectroscopy and multivariate analysis by partial least squares regression allowed the development of prediction models of phenolics and flavonoids with associated errors averaging 10%. NIR spectroscopy is recommended for the development of calibration models because it allows to non-destructive infer phenolic and total flavonoid contents, with high analytical frequency, without the use of reagents and other inputs required by the reference method, with results very close to those obtained in the laboratory.
653 $achemometrics
653 $acover crops
653 $aectance
653 $amultivariate analysis
700 1 $aKUHNEN, S.
700 1 $aKAZAMAB, D. C. S.
700 1 $aKURTZ, C.
700 1 $aTRAPPA, T.
700 1 $aMÜLLER JÚNIOR, V.
700 1 $aCOMIN, J. J.
773 $tQuímica Nova, São Paulo, SP$gv. 15, p. 1-8, 2017.
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