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| Registros recuperados : 109 | |
| 3. |  | MARQUES, M. G.; ZANELLA, R. O que fará a PIV de suínos chegar ao uso comercial? In: CONGRESSO BRASILEIRO DE REPRODUÇÃO ANIMAL, 24.; INTERNATIONAL SYMPOSIUM ON ANIMAL BIOLOGY OF REPRODUCTION, 8., 2021, Belo Horizonte. Anais... Belo Horizonte: CBRA, 2021. XXIV CBRA-VIII ISABR-Joint Meeting. Revista Brasileira de Reprodução Anima, v. 45, n. 4, p. 559-565, out./dez. 2021.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 14. | | LEAL, D. F.; JORGE NETO, P. N.; VIANA, C. H. C.; MARQUES, M. G. Ultrassonografia como ferramenta para aumento de eficiência reprodutiva de matrizes suínas. Suinocultura Industrial, Itu, ed. 289, ano 41, n. 04, p. 18-22, 2019.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 16. | | MARQUES, M. G.; MAULE, L. E.; DAHMER, A.; KRAMER, B.; BRUM, J. S.; RECH, R. R. Different hormonal stimulation protocols can affect the number of ovulations, volume of corporea lutea and progesterone production in sows? In: ANNUAL MEETING OF THE BRAZILIAN EMBRYO TECHNOLOGY SOCIETY (SBTE), 28, 2014, Natal. Abstracts... Natal, 2014. Publicado em: Animal Reproduction, v. 11, n. 3, p. 304, Jul./Sept. 2014.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 17. | | ZANELLA, R.; LEDUR, M. C.; PEIXOTO, J. de O.; LÚCIO, C. F.; MARQUES, M. G. Effect of broiler chicken lines on sperm quality. In: ANNUAL MEETING OF THE BRAZILIAN EMBRYO TECHNOLOGY SOCIETY (SBTE), 28, 2014, Natal. Abstracts... Natal, 2014. Publicado em: Animal Reproduction, v. 11, n. 3, p. 304, Jul./Sept. 2014.| Biblioteca(s): Embrapa Suínos e Aves. |
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| 18. | | SOUZA, A. P. de; SILVA, Z.; SUPERTI, B. F. V.; MARQUES, M. G. Caminhos da Biotecnologia da Reprodução em Suínos. Suinocultura Industrial, Itu, ed. 271, ano 38, n. 04, p. 18-23, 2016.| Biblioteca(s): Embrapa Suínos e Aves. |
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| Registros recuperados : 109 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
24/03/2009 |
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Data da última atualização: |
16/02/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
Nacional - A |
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Autoria: |
MARCELINO, F. C.; GUIMARÃES, M. F. M.; BARROS, E. G. |
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Afiliação: |
Francismar Correa Marcelino, Embrapa Soja; Marta Fonseca Martins Guimaraes, Embrapa Gado de Leite; Everaldo Gonçalves de Barros, Bioagro / UFV. |
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Título: |
Detection and quantification of Roundup Ready soybean residues in sausage samples by conventional and real-time PCR. |
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Ano de publicação: |
2008 |
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Fonte/Imprenta: |
Ciência e Tecnologia de Alimentos, Campinas, v. 28, p. 38-45, 2008. |
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DOI: |
https://doi.org/10.1590/S0101-20612008000500007 |
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Idioma: |
Inglês |
|
Notas: |
Supl. |
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Conteúdo: |
The increasing presence of products derived from genetically modified (GM) plants in human and animal diets has led to the development of detection methods to distinguish biotechnology-derived foods from conventional ones. The conventional and real-time PCR have been used, respectively, to detect and quantify GM residues in highly processed foods. DNA extraction is a critical step during the analysis process. Some factors such as DNA degradation, matrix effects, and the presence of PCR inhibitors imply that a detection or quantification limit, established for a given method, is restricted to a matrix used during validation and cannot be projected to any other matrix outside the scope of the method. In Brazil, sausage samples were the main class of processed products in which Roundup Ready® (RR) soybean residues were detected. Thus, the validation of methodologies for the detection and quantification of those residues is absolutely necessary. Sausage samples were submitted to two different methods of DNA extraction: modified Wizard and the CTAB method. The yield and quality were compared for both methods. DNA samples were analyzed by conventional and real-time PCR for the detection and quantification of Roundup Ready® soybean in the samples. At least 200 ng of total sausage DNA was necessary for a reliable quantification. Reactions containing DNA amounts below this value led to large variations on the expected GM percentage value. In conventional PCR, the detection limit varied from 1.0 to 500 ng, depending on the GM soybean content in the sample. The precision, performance, and linearity were relatively high indicating that the method used for analysis was satisfactory. MenosThe increasing presence of products derived from genetically modified (GM) plants in human and animal diets has led to the development of detection methods to distinguish biotechnology-derived foods from conventional ones. The conventional and real-time PCR have been used, respectively, to detect and quantify GM residues in highly processed foods. DNA extraction is a critical step during the analysis process. Some factors such as DNA degradation, matrix effects, and the presence of PCR inhibitors imply that a detection or quantification limit, established for a given method, is restricted to a matrix used during validation and cannot be projected to any other matrix outside the scope of the method. In Brazil, sausage samples were the main class of processed products in which Roundup Ready® (RR) soybean residues were detected. Thus, the validation of methodologies for the detection and quantification of those residues is absolutely necessary. Sausage samples were submitted to two different methods of DNA extraction: modified Wizard and the CTAB method. The yield and quality were compared for both methods. DNA samples were analyzed by conventional and real-time PCR for the detection and quantification of Roundup Ready® soybean in the samples. At least 200 ng of total sausage DNA was necessary for a reliable quantification. Reactions containing DNA amounts below this value led to large variations on the expected GM percentage value. In conventional PCR, the detection limit vari... Mostrar Tudo |
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Palavras-Chave: |
GMO; PCR quantitative; Sausage; Transgenic residues. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/596463/1/Detection-and-quantification-of-Roundup-Ready-soybean.pdf
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Marc: |
LEADER 02405naa a2200217 a 4500
001 1596463
005 2024-02-16
008 2008 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1590/S0101-20612008000500007$2DOI
100 1 $aMARCELINO, F. C.
245 $aDetection and quantification of Roundup Ready soybean residues in sausage samples by conventional and real-time PCR.$h[electronic resource]
260 $c2008
500 $aSupl.
520 $aThe increasing presence of products derived from genetically modified (GM) plants in human and animal diets has led to the development of detection methods to distinguish biotechnology-derived foods from conventional ones. The conventional and real-time PCR have been used, respectively, to detect and quantify GM residues in highly processed foods. DNA extraction is a critical step during the analysis process. Some factors such as DNA degradation, matrix effects, and the presence of PCR inhibitors imply that a detection or quantification limit, established for a given method, is restricted to a matrix used during validation and cannot be projected to any other matrix outside the scope of the method. In Brazil, sausage samples were the main class of processed products in which Roundup Ready® (RR) soybean residues were detected. Thus, the validation of methodologies for the detection and quantification of those residues is absolutely necessary. Sausage samples were submitted to two different methods of DNA extraction: modified Wizard and the CTAB method. The yield and quality were compared for both methods. DNA samples were analyzed by conventional and real-time PCR for the detection and quantification of Roundup Ready® soybean in the samples. At least 200 ng of total sausage DNA was necessary for a reliable quantification. Reactions containing DNA amounts below this value led to large variations on the expected GM percentage value. In conventional PCR, the detection limit varied from 1.0 to 500 ng, depending on the GM soybean content in the sample. The precision, performance, and linearity were relatively high indicating that the method used for analysis was satisfactory.
653 $aGMO
653 $aPCR quantitative
653 $aSausage
653 $aTransgenic residues
700 1 $aGUIMARÃES, M. F. M.
700 1 $aBARROS, E. G.
773 $tCiência e Tecnologia de Alimentos, Campinas$gv. 28, p. 38-45, 2008.
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