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| Acesso ao texto completo restrito à biblioteca da Embrapa Agroindústria de Alimentos. Para informações adicionais entre em contato com ctaa.biblioteca@embrapa.br. |
Registro Completo |
Biblioteca(s): |
Embrapa Agroindústria de Alimentos. |
Data corrente: |
03/10/2017 |
Data da última atualização: |
14/03/2019 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
MIRANDA, J. A. T. de; CARVALHO, L. M. J. de; CASTRO, I. M. de; VIERA, A. C. de M.; FIGUEIREDO, V. de O.; ANJOS, M. R. dos; DELLA MORA ORTIZ, G. M. |
Afiliação: |
Joyce Aparecida Tavares de Miranda, UFRJ; Lucia Maria Jaeger de Carvalho, UFRJ; IZABELA MIRANDA DE CASTRO, CTAA; Ana Cláudia de Macêdo Vieira, UFRJ; Verônica de Oliveira Figueiredo, UFRJ; MARIANNA RAMOS DOS ANJOS, CTAA; Gisela Maria Dellamora Ortiz, UFRJ. |
Título: |
Validation of a method for determination of organophosphates in black bean samples. |
Ano de publicação: |
2017 |
Fonte/Imprenta: |
International Journal of Current Research, v. 9, n. 3, p. 48261-48263, march, 2017. |
Idioma: |
Inglês |
Conteúdo: |
The presence of pesticides residues above the Acceptable Daily Intake values and the Maximum Residue Limits is worrying in the point of view of food safety. In order to identify and determine the presence of organ phosphorus pesticides in bean samples, a multiresidue technique of extraction a multiresidue technique of extraction method was applied, and the analyses were conducted by gas chromatography coupled to a thermoionic flame detector (GC-FTD). This study aimed to validate the methodology of etermination of organophosphates by studies of selectivity, linearity, intermediate precision, limit of detection, limit of quantification, and accuracy study by addition and recovery. The method was selective for all analytes, because there was no interference higher than 30% of the limit of quantification. The limits of detection were between 1.60 and 52.96 ng.kg-1 and the quantification limits were between 3.30 and 176.0 ng.kg-1. Regarding intermediate precision, the differences of area values were ? 15%, in different concentrations, except for phorate. The correlation coefficients (r) of linearity curves were higher than 0.99 for all active ingredients, within the working range applied. The recovery percentage was between 70 and 120%, except for phorate. Thus, the methodology was satisfactory for identification and determination of ten from the eleven organophosphates analyzed in beans. |
Palavras-Chave: |
Bean; Organophosphorus; Validation. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02123naa a2200229 a 4500 001 2076624 005 2019-03-14 008 2017 bl uuuu u00u1 u #d 100 1 $aMIRANDA, J. A. T. de 245 $aValidation of a method for determination of organophosphates in black bean samples.$h[electronic resource] 260 $c2017 520 $aThe presence of pesticides residues above the Acceptable Daily Intake values and the Maximum Residue Limits is worrying in the point of view of food safety. In order to identify and determine the presence of organ phosphorus pesticides in bean samples, a multiresidue technique of extraction a multiresidue technique of extraction method was applied, and the analyses were conducted by gas chromatography coupled to a thermoionic flame detector (GC-FTD). This study aimed to validate the methodology of etermination of organophosphates by studies of selectivity, linearity, intermediate precision, limit of detection, limit of quantification, and accuracy study by addition and recovery. The method was selective for all analytes, because there was no interference higher than 30% of the limit of quantification. The limits of detection were between 1.60 and 52.96 ng.kg-1 and the quantification limits were between 3.30 and 176.0 ng.kg-1. Regarding intermediate precision, the differences of area values were ? 15%, in different concentrations, except for phorate. The correlation coefficients (r) of linearity curves were higher than 0.99 for all active ingredients, within the working range applied. The recovery percentage was between 70 and 120%, except for phorate. Thus, the methodology was satisfactory for identification and determination of ten from the eleven organophosphates analyzed in beans. 653 $aBean 653 $aOrganophosphorus 653 $aValidation 700 1 $aCARVALHO, L. M. J. de 700 1 $aCASTRO, I. M. de 700 1 $aVIERA, A. C. de M. 700 1 $aFIGUEIREDO, V. de O. 700 1 $aANJOS, M. R. dos 700 1 $aDELLA MORA ORTIZ, G. M. 773 $tInternational Journal of Current Research$gv. 9, n. 3, p. 48261-48263, march, 2017.
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Embrapa Agroindústria de Alimentos (CTAA) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Florestas. Para informações adicionais entre em contato com cnpf.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Florestas. |
Data corrente: |
24/10/2013 |
Data da última atualização: |
24/10/2013 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
SILVA, F. F. e; VIANA, J. M. S.; FARIA, V. R.; RESENDE, M. D. V. de. |
Afiliação: |
Fabyano Fonseca e Silva, UFV; José Marcelo Soriano Viana, UFV; Vinícius Ribeiro Faria, UFV; MARCOS DEON VILELA DE RESENDE, CNPF. |
Título: |
Bayesian inference of mixed models in quantitative genetics of crop species. |
Ano de publicação: |
2013 |
Fonte/Imprenta: |
Theoretical and Applied Genetics, v. 126, p. 1749-1761, 2013. |
DOI: |
10.1007/s00122-013-2089-6 |
Idioma: |
Inglês |
Conteúdo: |
The objectives of this study were to implement a Bayesian framework for mixed models analysis in crop species breeding and to exploit alternatives for informative prior elicitation. Bayesian inference for genetic evaluation in annual crop breeding was illustrated with the first two half-sib selection cycles in a popcorn population. The Bayesian framework was based on the Just Another Gibbs Sampler software and the R2jags package. For the first cycle, a non-informative prior for the inverse of the variance components and an informative prior based on meta-analysis were used. For the second cycle, a noninformative prior and an informative prior defined as the posterior from the non-informative and informative analyses of the first cycle were used. Regarding the first cycle, the use of an informative prior from the meta-analysis provided clearly distinct results relative to the analysis with a non-informative prior only for the grain yield. Regarding the second cycle, the results for the expansion volume and grain yield showed differences among the three analyses. The differences between the non-informative and informative prior analyses were restricted to variance components and heritability. The correlations between the predicted breeding values from these analyses were almost perfect. |
Palavras-Chave: |
Bayesian inference; BLUP; Genética quantitativa; Inferência Bayesiana; Mixed models; Modelo mixto; REML. |
Thesaurus NAL: |
quantitative genetics. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02085naa a2200265 a 4500 001 1969304 005 2013-10-24 008 2013 bl uuuu u00u1 u #d 024 7 $a10.1007/s00122-013-2089-6$2DOI 100 1 $aSILVA, F. F. e 245 $aBayesian inference of mixed models in quantitative genetics of crop species.$h[electronic resource] 260 $c2013 520 $aThe objectives of this study were to implement a Bayesian framework for mixed models analysis in crop species breeding and to exploit alternatives for informative prior elicitation. Bayesian inference for genetic evaluation in annual crop breeding was illustrated with the first two half-sib selection cycles in a popcorn population. The Bayesian framework was based on the Just Another Gibbs Sampler software and the R2jags package. For the first cycle, a non-informative prior for the inverse of the variance components and an informative prior based on meta-analysis were used. For the second cycle, a noninformative prior and an informative prior defined as the posterior from the non-informative and informative analyses of the first cycle were used. Regarding the first cycle, the use of an informative prior from the meta-analysis provided clearly distinct results relative to the analysis with a non-informative prior only for the grain yield. Regarding the second cycle, the results for the expansion volume and grain yield showed differences among the three analyses. The differences between the non-informative and informative prior analyses were restricted to variance components and heritability. The correlations between the predicted breeding values from these analyses were almost perfect. 650 $aquantitative genetics 653 $aBayesian inference 653 $aBLUP 653 $aGenética quantitativa 653 $aInferência Bayesiana 653 $aMixed models 653 $aModelo mixto 653 $aREML 700 1 $aVIANA, J. M. S. 700 1 $aFARIA, V. R. 700 1 $aRESENDE, M. D. V. de 773 $tTheoretical and Applied Genetics$gv. 126, p. 1749-1761, 2013.
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