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Registro Completo |
Biblioteca(s): |
Embrapa Pecuária Sudeste. |
Data corrente: |
24/04/2014 |
Data da última atualização: |
28/03/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
SANTOS, P. M.; CORRÊA, C.; FORATO, L. A.; TULLIO, R. R.; CRUZ, G. M. D.; COLNAGO, L. A. |
Afiliação: |
POLIANA M. SANTOS, INSTITUTO DE QUÍMICA- SÃO CARLOS, SP; CÁTIA C. CORRÊA, INSTITUTO DE QUIMÍCA USP/SÃO CARLOS, SP; LUCIMARA APARECIDA FORATO, CNPDIA; RYMER RAMIZ TULLIO, CPPSE; GERALDO MARIA DA CRUZ, CPPSE; LUIZ ALBERTO COLNAGO, CNPDIA. |
Título: |
A fast and non-destructive method to discriminate beef samples using TD-NMR. |
Ano de publicação: |
2014 |
Fonte/Imprenta: |
Food Control, v. 38, p.204-208, apr. 2014. |
ISSN: |
0956-7135 |
DOI: |
https://doi.org/10.1016/j.foodcont.2013.10.026 |
Idioma: |
Inglês |
Conteúdo: |
Carr-Purcell-Meiboom-Gill (CPMG) and Continuous Wave Free Precision (CWFP) pulse sequences were used to obtain time-domain 1H NuclearMagnetic Resonance (TD-NMR) data of beef samples. A total of 99 beef samples from different bull race (Angus, Bonsmara and Canchim) and sex (heifers and steer) were used in this study. The CPMG and CWFP data sets were processed using univariate and multivariate analysis in order to develop classification models to discriminate the samples according to the animal sex and bull race. A paired Student?s t test indicated that the univariate models obtained with CWFP data set (using Mz/Mo) had superior performance than those obtained with CPMG (using T2 values). Multivariate models showed similar predictability for both pulse sequences, with an average of correct classification higher than 80% for most of models developed. In general, the results showed that the TD-NMR spectroscopy when combined with univariate and multivariate analysis could provide a valuable tool for tracing the sex and bull race of beef samples, providing a reliable identification in a rapid, relatively cheap and non-invasive way, even in packages. |
Palavras-Chave: |
CPMG; CWFP; TD NMR. |
Thesaurus Nal: |
beef. |
Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
Marc: |
LEADER 01856naa a2200253 a 4500 001 1985050 005 2023-03-28 008 2014 bl uuuu u00u1 u #d 022 $a0956-7135 024 7 $ahttps://doi.org/10.1016/j.foodcont.2013.10.026$2DOI 100 1 $aSANTOS, P. M. 245 $aA fast and non-destructive method to discriminate beef samples using TD-NMR.$h[electronic resource] 260 $c2014 520 $aCarr-Purcell-Meiboom-Gill (CPMG) and Continuous Wave Free Precision (CWFP) pulse sequences were used to obtain time-domain 1H NuclearMagnetic Resonance (TD-NMR) data of beef samples. A total of 99 beef samples from different bull race (Angus, Bonsmara and Canchim) and sex (heifers and steer) were used in this study. The CPMG and CWFP data sets were processed using univariate and multivariate analysis in order to develop classification models to discriminate the samples according to the animal sex and bull race. A paired Student?s t test indicated that the univariate models obtained with CWFP data set (using Mz/Mo) had superior performance than those obtained with CPMG (using T2 values). Multivariate models showed similar predictability for both pulse sequences, with an average of correct classification higher than 80% for most of models developed. In general, the results showed that the TD-NMR spectroscopy when combined with univariate and multivariate analysis could provide a valuable tool for tracing the sex and bull race of beef samples, providing a reliable identification in a rapid, relatively cheap and non-invasive way, even in packages. 650 $abeef 653 $aCPMG 653 $aCWFP 653 $aTD NMR 700 1 $aCORRÊA, C. 700 1 $aFORATO, L. A. 700 1 $aTULLIO, R. R. 700 1 $aCRUZ, G. M. D. 700 1 $aCOLNAGO, L. A. 773 $tFood Control$gv. 38, p.204-208, apr. 2014.
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Embrapa Pecuária Sudeste (CPPSE) |
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Registro Completo
Biblioteca(s): |
Embrapa Cerrados. |
Data corrente: |
04/02/2008 |
Data da última atualização: |
06/08/2013 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
Internacional - A |
Autoria: |
GUIDETTI-GONZALEZ, S.; FREITAS-ASTÚA, J.; AMARAL. A. M. do; MARTINS, N. F.; MEHTA, A.; SILVA, M. S.; CARRER, H. |
Afiliação: |
Simone Guidetti-Gonzalez, ESALQ; Juliana Freitas-Astúa, CNPMF; Alexandre Morais do Amaral, Cenargen; Natália F. Martins, Cenargen; Angela Mehta, Cenargen; Marilia Santos Silva, CPAC; Helaine Carrer, ESALQ. |
Título: |
Genes associated with hypersensitive response (HR) in the citrus EST database (CitEST). |
Ano de publicação: |
2007 |
Fonte/Imprenta: |
Genetics and Molecular Biology, Ribeirão Preto, v. 30, n. 3, p. 943-956, 2007. |
Idioma: |
Inglês |
Palavras-Chave: |
Plant disease resistence. |
Thesagro: |
Doença de Planta; Variedade Resistente. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/87071/1/guidetti-gonzalez-s-01-2007.pdf
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Marc: |
LEADER 00674naa a2200217 a 4500 001 1559360 005 2013-08-06 008 2007 bl uuuu u00u1 u #d 100 1 $aGUIDETTI-GONZALEZ, S. 245 $aGenes associated with hypersensitive response (HR) in the citrus EST database (CitEST). 260 $c2007 650 $aDoença de Planta 650 $aVariedade Resistente 653 $aPlant disease resistence 700 1 $aFREITAS-ASTÚA, J. 700 1 $aAMARAL. A. M. do 700 1 $aMARTINS, N. F. 700 1 $aMEHTA, A. 700 1 $aSILVA, M. S. 700 1 $aCARRER, H. 773 $tGenetics and Molecular Biology, Ribeirão Preto$gv. 30, n. 3, p. 943-956, 2007.
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