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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
16/07/1996 |
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Data da última atualização: |
17/08/2007 |
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Autoria: |
BARROSO, G. C.; LIMA, A. M. N.; PERKUSICH, A. |
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Título: |
Analise de seguranca baseada em controle supervisorio e redes de Petri. |
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Ano de publicação: |
1995 |
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Fonte/Imprenta: |
In: SIMPÓSIO DE COMPUTADORES TOLERANTES A FALHAS, 6.; CONGRESSO DA SOCIEDADE BRASILEIRA DE COMPUTAÇÃO, 15., 1995, Canela. Anais ... Porto Alegre: UFRGS, Instituto de Informática, 1995. |
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Páginas: |
p.451-470. |
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Idioma: |
Português |
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Conteúdo: |
A necessidade de dispor de uma abordagem sistematica para a analise de seguranca de sistemas controlados por computador, aponta para a direcao da aplicacao de tecnicas formais. Esse artigo investiga uma nova abordagem para a analise de seguranca em sistemas a eventos discretos, utilizando uma metodologia formal baseada em uma extensao de redes de Petri, denominada Redes de Petri com Funcoes de Habilitacao de Transicoes, e na Teoria de Controle Supervisorio. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01033naa a2200157 a 4500
001 1002938
005 2007-08-17
008 1995 bl uuuu u00u1 u #d
100 1 $aBARROSO, G. C.
245 $aAnalise de seguranca baseada em controle supervisorio e redes de Petri.
260 $c1995
300 $ap.451-470.
520 $aA necessidade de dispor de uma abordagem sistematica para a analise de seguranca de sistemas controlados por computador, aponta para a direcao da aplicacao de tecnicas formais. Esse artigo investiga uma nova abordagem para a analise de seguranca em sistemas a eventos discretos, utilizando uma metodologia formal baseada em uma extensao de redes de Petri, denominada Redes de Petri com Funcoes de Habilitacao de Transicoes, e na Teoria de Controle Supervisorio.
700 1 $aLIMA, A. M. N.
700 1 $aPERKUSICH, A.
773 $tIn: SIMPÓSIO DE COMPUTADORES TOLERANTES A FALHAS, 6.; CONGRESSO DA SOCIEDADE BRASILEIRA DE COMPUTAÇÃO, 15., 1995, Canela. Anais ... Porto Alegre: UFRGS, Instituto de Informática, 1995.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Café. Para informações adicionais entre em contato com biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Café. |
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Data corrente: |
28/11/2023 |
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Data da última atualização: |
07/12/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
SILVA, E. M. de; CASTRO, I. S. L.; AGUILAR, A. P.; CAIXETA, E. T.; MENDES, T. A. de O. |
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Afiliação: |
EDSON MARIO DE ANDRADE SILVA, UNIVERSIDADE FEDERAL DE MINAS GERAIS; ISABEL SAMILA LIMA CASTRO, UNIVERSIDADE FEDERAL DE VIÇOSA; ANANDA PEREIRA AGUILAR, UNIVERSIDADE FEDERAL DE VIÇOSA; EVELINE TEIXEIRA CAIXETA MOURA, CNPCa; TIAGO ANTÔNIO DE OLIVEIRA MENDES, UNIVERSIDADE FEDERAL DE VIÇOSA. |
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Título: |
New genetic markers for 100% arabica coffee demonstrate high discriminatory potential for InDel-HRM-based coffee authentication. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Food Research International, v. 173, 113424, 2023. |
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Páginas: |
9 p. |
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DOI: |
https://doi.org/10.1016/j.foodres.2023.113424 |
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Idioma: |
Inglês |
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Conteúdo: |
Food authenticity is crucial in today’s society, given the heightened consumer awareness and attention to the products they consume. Reliable and efficient techniques are needed to quickly detect potential food adulterations that can negatively impact product quality and economic value. Coffee, a globally traded agricultural product, holds immense economic importance, with an estimated value of USD 83 billion. It is widely consumed and recognized as a functional food that provides minerals (K, Mg, Mn, Cr), niacin, and antioxidants. However, the preferred coffee species, Coffea arabica, known for its superior drink quality, is often adulterated with Coffea canephora (Robusta and Conilon) beans, even in 100% Arabica coffee. To distinguish between these two coffee species, a comprehensive study was conducted using a robust approach to identify differences in Single-Ortholog Copy (SOC) based on InDel regions in these gene pairs. These differences were validated using a meticulous methodology that considered variations in amplicon size: electrophoretic profile, and high-resolution melting (HRM). The innovative combination of InDels and HRM resulted in highly distinctive HRM profiles, outperforming SNP-based methods previously used. The targeted InDel approach utilized in this study facilitated precise quantification of Coffea species beans with a detection sensitivity of 0.5%. The study’s findings establish the reliability and accuracy in distinguishing between the two coffee species, showcasing the valuable application of InDels for quality control and ensuring the authenticity of coffee beans. This pioneering research contributes to the advancement of authenticity verification methods for both imported and exported coffee beans, as well as in future studies that require significant genetic differences between these species, such as C. arabica and C. canephora. MenosFood authenticity is crucial in today’s society, given the heightened consumer awareness and attention to the products they consume. Reliable and efficient techniques are needed to quickly detect potential food adulterations that can negatively impact product quality and economic value. Coffee, a globally traded agricultural product, holds immense economic importance, with an estimated value of USD 83 billion. It is widely consumed and recognized as a functional food that provides minerals (K, Mg, Mn, Cr), niacin, and antioxidants. However, the preferred coffee species, Coffea arabica, known for its superior drink quality, is often adulterated with Coffea canephora (Robusta and Conilon) beans, even in 100% Arabica coffee. To distinguish between these two coffee species, a comprehensive study was conducted using a robust approach to identify differences in Single-Ortholog Copy (SOC) based on InDel regions in these gene pairs. These differences were validated using a meticulous methodology that considered variations in amplicon size: electrophoretic profile, and high-resolution melting (HRM). The innovative combination of InDels and HRM resulted in highly distinctive HRM profiles, outperforming SNP-based methods previously used. The targeted InDel approach utilized in this study facilitated precise quantification of Coffea species beans with a detection sensitivity of 0.5%. The study’s findings establish the reliability and accuracy in distinguishing between the two coffee spe... Mostrar Tudo |
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Thesaurus NAL: |
Coffee beans; Food quality; Plant products; Quality control. |
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Categoria do assunto: |
G Melhoramento Genético |
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Marc: |
LEADER 02660naa a2200241 a 4500
001 2158781
005 2023-12-07
008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.foodres.2023.113424$2DOI
100 1 $aSILVA, E. M. de
245 $aNew genetic markers for 100% arabica coffee demonstrate high discriminatory potential for InDel-HRM-based coffee authentication.$h[electronic resource]
260 $c2023
300 $a9 p.
520 $aFood authenticity is crucial in today’s society, given the heightened consumer awareness and attention to the products they consume. Reliable and efficient techniques are needed to quickly detect potential food adulterations that can negatively impact product quality and economic value. Coffee, a globally traded agricultural product, holds immense economic importance, with an estimated value of USD 83 billion. It is widely consumed and recognized as a functional food that provides minerals (K, Mg, Mn, Cr), niacin, and antioxidants. However, the preferred coffee species, Coffea arabica, known for its superior drink quality, is often adulterated with Coffea canephora (Robusta and Conilon) beans, even in 100% Arabica coffee. To distinguish between these two coffee species, a comprehensive study was conducted using a robust approach to identify differences in Single-Ortholog Copy (SOC) based on InDel regions in these gene pairs. These differences were validated using a meticulous methodology that considered variations in amplicon size: electrophoretic profile, and high-resolution melting (HRM). The innovative combination of InDels and HRM resulted in highly distinctive HRM profiles, outperforming SNP-based methods previously used. The targeted InDel approach utilized in this study facilitated precise quantification of Coffea species beans with a detection sensitivity of 0.5%. The study’s findings establish the reliability and accuracy in distinguishing between the two coffee species, showcasing the valuable application of InDels for quality control and ensuring the authenticity of coffee beans. This pioneering research contributes to the advancement of authenticity verification methods for both imported and exported coffee beans, as well as in future studies that require significant genetic differences between these species, such as C. arabica and C. canephora.
650 $aCoffee beans
650 $aFood quality
650 $aPlant products
650 $aQuality control
700 1 $aCASTRO, I. S. L.
700 1 $aAGUILAR, A. P.
700 1 $aCAIXETA, E. T.
700 1 $aMENDES, T. A. de O.
773 $tFood Research International$gv. 173, 113424, 2023.
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