| |
|
|
 | Acesso ao texto completo restrito à biblioteca da Embrapa Gado de Leite. Para informações adicionais entre em contato com cnpgl.biblioteca@embrapa.br. |
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Gado de Leite. |
|
Data corrente: |
01/02/2016 |
|
Data da última atualização: |
01/02/2024 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Autoria: |
CASTRO, R. de J. C.; SOUZA SOBRINHO, F. de; GAMA, M. A. S. da; SATO, R. T.; LIMA, L. L.; OLIVEIRA, M. A. L. de. |
|
Afiliação: |
Renata de Jesus Coelho Castro, UFJF; FAUSTO DE SOUZA SOBRINHO, CNPGL; MARCO ANTONIO SUNDFELD DA GAMA, CNPGL; Renata Takabayashi Sato, UFJF; Larissa Lavorato Lima, UFJF; Marcone Augusto Leal de Oliveira, UFJF. |
|
Título: |
A Rapid Method for Determination of the Main Conjugated Linoleic Acid Precursors (C18:2 n-6 and C18:3 n-3) in Forage by Capillary Zone Electrophoresis with Ultraviolet Detection Using Gas Chromatography with Flame Ionization Detection as a Comparative Method. |
|
Ano de publicação: |
2015 |
|
Fonte/Imprenta: |
Journal of AOAC International, v. 98, n. 6, p. 1591-1597, 2015. |
|
Idioma: |
Inglês |
|
Conteúdo: |
Abstract: A rapid method has been proposed for determination of the main conjugated linoleic acid precursors such as linoleic (C18:2 n-6) and linolenic (C18:3 n-3) acids in forages by capillary zone electrophoresis (CZE) with direct UV detection at 200 nm. Among the fatty acids found in forages, C18:2 n-6 and C18:3 n-3 have received particular attention due to their roles as precursors for the synthesis of conjugated linoleic acid, a class of health-enhancing compounds that is predominantly found in dairy products. The electrolyte background consisted of 12.0 mmol/L tetraborate buffer (pH 9.2) added to 12.0 mmol/L Brij 35(®), 17% acetonitrile, and 33% methanol. Under the optimized conditions, the baseline separation of C18:2 n-6 and C18:3 n-3 was achieved within 4 min. The CZE-UV method was compared to GC with a flame ionization detector, which is the American Oil Chemists' Society (AOCS 996.06) official method for fatty acid analysis. The methods did not show any evidence of significant differences within 95% confidence interval (P > 0.05). The CZE-UV method was successfully applied to the analysis of 80 genotypes of Brachiaria ruzizienses clones submitted to a genetic improvement program in agricultural research. |
|
Palavras-Chave: |
CLA; CZE-UV method; Fatty acids in forages. |
|
Thesaurus Nal: |
conjugated linoleic acid. |
|
Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
|
Marc: |
LEADER 02109naa a2200229 a 4500
001 2035820
005 2024-02-01
008 2015 bl uuuu u00u1 u #d
100 1 $aCASTRO, R. de J. C.
245 $aA Rapid Method for Determination of the Main Conjugated Linoleic Acid Precursors (C18$b2 n-6 and C18:3 n-3) in Forage by Capillary Zone Electrophoresis with Ultraviolet Detection Using Gas Chromatography with Flame Ionization Detection as a Comparative Method.$h[electronic resource]
260 $c2015
520 $aAbstract: A rapid method has been proposed for determination of the main conjugated linoleic acid precursors such as linoleic (C18:2 n-6) and linolenic (C18:3 n-3) acids in forages by capillary zone electrophoresis (CZE) with direct UV detection at 200 nm. Among the fatty acids found in forages, C18:2 n-6 and C18:3 n-3 have received particular attention due to their roles as precursors for the synthesis of conjugated linoleic acid, a class of health-enhancing compounds that is predominantly found in dairy products. The electrolyte background consisted of 12.0 mmol/L tetraborate buffer (pH 9.2) added to 12.0 mmol/L Brij 35(®), 17% acetonitrile, and 33% methanol. Under the optimized conditions, the baseline separation of C18:2 n-6 and C18:3 n-3 was achieved within 4 min. The CZE-UV method was compared to GC with a flame ionization detector, which is the American Oil Chemists' Society (AOCS 996.06) official method for fatty acid analysis. The methods did not show any evidence of significant differences within 95% confidence interval (P > 0.05). The CZE-UV method was successfully applied to the analysis of 80 genotypes of Brachiaria ruzizienses clones submitted to a genetic improvement program in agricultural research.
650 $aconjugated linoleic acid
653 $aCLA
653 $aCZE-UV method
653 $aFatty acids in forages
700 1 $aSOUZA SOBRINHO, F. de
700 1 $aGAMA, M. A. S. da
700 1 $aSATO, R. T.
700 1 $aLIMA, L. L.
700 1 $aOLIVEIRA, M. A. L. de
773 $tJournal of AOAC International$gv. 98, n. 6, p. 1591-1597, 2015.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Gado de Leite (CNPGL) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
Registro Completo
|
Biblioteca(s): |
Embrapa Solos. |
|
Data corrente: |
09/02/2021 |
|
Data da última atualização: |
26/10/2021 |
|
Tipo da produção científica: |
Artigo em Anais de Congresso |
|
Autoria: |
ALVES, C. de O.; PIMENTEL, R. M.; TAMY, W. P.; SOUZA, F. B. M. de; DONAGEMMA, G. K. |
|
Afiliação: |
CLEUSON DE OLIVEIRA ALVES, UFF; RÓBERSON MACHADO PIMENTEL, UFF; WAGNER PESSANHA TAMY, UFF; FILIPE BITTENCOURT MACHADO DE SOUZA, INTPAC; GUILHERME KANGUSSU DONAGEMMA, CNPS. |
|
Título: |
Methods for estimating forage mass in pastures. |
|
Ano de publicação: |
2020 |
|
Fonte/Imprenta: |
In: WORKSHOP ON BIOSYSTEMS ENGINEERING - WEB 6.0, 6., 2020, Niterói. Proceedings... Niterói: AGRHA, 2020. p. 160-163. |
|
Idioma: |
Inglês |
|
Conteúdo: |
A large part of farm properties have low levels of productivity, therefore estimate the herbage mass is essential for the proper planning, moreover, properly quantify the forage mass will provide appropriate information on the fertilization of forage produced or loss levels, which are important factors in determining the production system. This literature review covered the most used evaluation methods. |
|
Palavras-Chave: |
Erva; Herbage; Method. |
|
Thesagro: |
Forragem; Método. |
|
Thesaurus NAL: |
Forage. |
|
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
|
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/221053/1/Methods-for-estimating-forage-mass-in-pastures-2020.pdf
|
|
Marc: |
LEADER 01074nam a2200229 a 4500
001 2129904
005 2021-10-26
008 2020 bl uuuu u00u1 u #d
100 1 $aALVES, C. de O.
245 $aMethods for estimating forage mass in pastures.$h[electronic resource]
260 $aIn: WORKSHOP ON BIOSYSTEMS ENGINEERING - WEB 6.0, 6., 2020, Niterói. Proceedings... Niterói: AGRHA, 2020. p. 160-163.$c2020
520 $aA large part of farm properties have low levels of productivity, therefore estimate the herbage mass is essential for the proper planning, moreover, properly quantify the forage mass will provide appropriate information on the fertilization of forage produced or loss levels, which are important factors in determining the production system. This literature review covered the most used evaluation methods.
650 $aForage
650 $aForragem
650 $aMétodo
653 $aErva
653 $aHerbage
653 $aMethod
700 1 $aPIMENTEL, R. M.
700 1 $aTAMY, W. P.
700 1 $aSOUZA, F. B. M. de
700 1 $aDONAGEMMA, G. K.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Solos (CNPS) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Expressão de busca inválida. Verifique!!! |
|
|
