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Registro Completo |
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Biblioteca(s): |
Embrapa Meio Ambiente. |
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Data corrente: |
07/01/2019 |
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Data da última atualização: |
07/01/2019 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
DONKE, A. C. G.; NOVAES, R. M. L.; PAZIANOTTO, R. A. A.; RUIZ, E. M.; REINHARD, J.; MATSUURA, M. I. da S. F. |
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Afiliação: |
ANA CRISTINA GUIMARÃES DONKE; RENAN MILAGRES LAGE NOVAES, CNPMA; RICARDO ANTONIO ALMEIDA PAZIANOTTO, CNPMA; EMILIA MORENO RUIZ, Ecoinvent; JURGEN REINHARD, Quantis; MARILIA IEDA DA S F MATSUURA, CNPMA. |
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Título: |
Integrating land use change estimates at state level in the ecoinvent database structure v3.3. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
In: CONGRESSO BRASILEIRO SOBRE GESTÃO DO CICLO DE VIDA, 6., 2018, Brasília, DF. Anais... Brasília, DF: Ibict, 2018. |
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Páginas: |
p. 199-205. |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: Land use change (LUC) emissions have a major importance to agricultural products, especially in countries where agriculture is a relevant economic activity, as in Brazil. Despite its importance, methodologies for LUC estimation are still under debate and there is a lack of regionalized data. To contribute in filling this gap, BRLUC method was developed by Novaes et al (2017), providing estimates of direct LUC and derived CO2 emission rates disaggregated for 64 crops, pasture and forestry for each Brazilian state and a period of 20 years. However, to enhance its potential for use, BRLUC data should be also available in widely used LCA databases. The aim of this article is to present the general structure and adaptations needed to integrate Brazilian LUC estimates from BRLUC into the ecoinvent database v3.3, one of the main international life cycle databases. The main adaptation needs were diagnosed by a joint effort of Embrapa and ecoinvent teams and were: a) the inclusion of new products and land classes (e.g pasture, man-made and forest, intensive), b) segregation of emissions between ?land transformation? and ?land occupation? datasets; c) the conversion of the data structure to the ?land tenure? product model; d) the conversion of LUC substitution percentages into ?land tenure? production volumes and e) the inclusion and adaptation of new emission exchanges. By the automation of the data conversion through an algorithm in R, 418 datasets were generated for incorporation into ecoinvent database, which will increase and ease access to regionalized Brazilian LUC estimates to LCA practitioners. MenosAbstract: Land use change (LUC) emissions have a major importance to agricultural products, especially in countries where agriculture is a relevant economic activity, as in Brazil. Despite its importance, methodologies for LUC estimation are still under debate and there is a lack of regionalized data. To contribute in filling this gap, BRLUC method was developed by Novaes et al (2017), providing estimates of direct LUC and derived CO2 emission rates disaggregated for 64 crops, pasture and forestry for each Brazilian state and a period of 20 years. However, to enhance its potential for use, BRLUC data should be also available in widely used LCA databases. The aim of this article is to present the general structure and adaptations needed to integrate Brazilian LUC estimates from BRLUC into the ecoinvent database v3.3, one of the main international life cycle databases. The main adaptation needs were diagnosed by a joint effort of Embrapa and ecoinvent teams and were: a) the inclusion of new products and land classes (e.g pasture, man-made and forest, intensive), b) segregation of emissions between ?land transformation? and ?land occupation? datasets; c) the conversion of the data structure to the ?land tenure? product model; d) the conversion of LUC substitution percentages into ?land tenure? production volumes and e) the inclusion and adaptation of new emission exchanges. By the automation of the data conversion through an algorithm in R, 418 datasets were generated for incor... Mostrar Tudo |
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Palavras-Chave: |
Avaliação do ciclo de vida; BRLUC method; Land use change emissions; LCA databases; LCA of brazilian products; Mudança no uso da terra; Regionalized LCA. |
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Thesagro: |
Uso da terra. |
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Thesaurus Nal: |
Databases; Greenhouse gas emissions; Land use change; Life cycle assessment. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/189832/1/2018AA23.pdf
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Marc: |
LEADER 02693nam a2200325 a 4500
001 2103131
005 2019-01-07
008 2018 bl uuuu u00u1 u #d
100 1 $aDONKE, A. C. G.
245 $aIntegrating land use change estimates at state level in the ecoinvent database structure v3.3.$h[electronic resource]
260 $aIn: CONGRESSO BRASILEIRO SOBRE GESTÃO DO CICLO DE VIDA, 6., 2018, Brasília, DF. Anais... Brasília, DF: Ibict$c2018
300 $ap. 199-205.
520 $aAbstract: Land use change (LUC) emissions have a major importance to agricultural products, especially in countries where agriculture is a relevant economic activity, as in Brazil. Despite its importance, methodologies for LUC estimation are still under debate and there is a lack of regionalized data. To contribute in filling this gap, BRLUC method was developed by Novaes et al (2017), providing estimates of direct LUC and derived CO2 emission rates disaggregated for 64 crops, pasture and forestry for each Brazilian state and a period of 20 years. However, to enhance its potential for use, BRLUC data should be also available in widely used LCA databases. The aim of this article is to present the general structure and adaptations needed to integrate Brazilian LUC estimates from BRLUC into the ecoinvent database v3.3, one of the main international life cycle databases. The main adaptation needs were diagnosed by a joint effort of Embrapa and ecoinvent teams and were: a) the inclusion of new products and land classes (e.g pasture, man-made and forest, intensive), b) segregation of emissions between ?land transformation? and ?land occupation? datasets; c) the conversion of the data structure to the ?land tenure? product model; d) the conversion of LUC substitution percentages into ?land tenure? production volumes and e) the inclusion and adaptation of new emission exchanges. By the automation of the data conversion through an algorithm in R, 418 datasets were generated for incorporation into ecoinvent database, which will increase and ease access to regionalized Brazilian LUC estimates to LCA practitioners.
650 $aDatabases
650 $aGreenhouse gas emissions
650 $aLand use change
650 $aLife cycle assessment
650 $aUso da terra
653 $aAvaliação do ciclo de vida
653 $aBRLUC method
653 $aLand use change emissions
653 $aLCA databases
653 $aLCA of brazilian products
653 $aMudança no uso da terra
653 $aRegionalized LCA
700 1 $aNOVAES, R. M. L.
700 1 $aPAZIANOTTO, R. A. A.
700 1 $aRUIZ, E. M.
700 1 $aREINHARD, J.
700 1 $aMATSUURA, M. I. da S. F.
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Registro original: |
Embrapa Meio Ambiente (CNPMA) |
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Biblioteca |
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Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
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Registro Completo
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Biblioteca(s): |
Embrapa Instrumentação. |
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Data corrente: |
30/03/2022 |
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Data da última atualização: |
23/01/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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Autoria: |
GARCIA, R. H. S.; FILGUEIRAS, J. G.; COLNAGO, L. A.; AZEVEDO, E. R. |
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Afiliação: |
LUIZ ALBERTO COLNAGO, CNPDIA. |
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Título: |
Real-Time monitoring polymerization reactions using dipolar echoes in 1H time domain NMR at a low magnetic field. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Molecules, v. 27, 566, 2022. |
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Páginas: |
14 p. |
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DOI: |
https://doi.org/10.3390/molecules27020566 |
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Idioma: |
Inglês |
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Conteúdo: |
1H time domain nuclear magnetic resonance (1H TD-NMR) at a low magnetic field becomes a powerful technique for the structure and dynamics characterization of soft organic materials. This relies mostly on the method sensitivity to the 1H-1H magnetic dipolar couplings, which depend on the molecular orientation with respect to the applied magnetic field. On the other hand, the good sensitivity of the 1H detection makes it possible to monitor real time processes that modify the dipolar coupling as a result of changes in the molecular mobility. In this regard, the so-called dipolar echoes technique can increase the sensitivity and accuracy of the real-time monitoring. In this article we evaluate the performance of commonly used 1H TD-NMR dipolar echo methods for probing polymerization reactions. As a proof of principle, we monitor the cure of a commercial epoxy resin,using techniques such as mixed-Magic Sandwich Echo (MSE), Rhim Kessemeier—Radiofrequency Optimized Solid Echo (RK-ROSE) and Dipolar Filtered Magic Sandwich Echo (DF-MSE). Applying a reaction kinetic model that supposes simultaneous autocatalytic and noncatalytic reaction pathways,we show the analysis to obtain the rate and activation energy for the epoxy curing reaction using the NMR data. The results obtained using the different NMR methods are in good agreement among them and also results reported in the literature for similar samples. This demonstrates that any of these dipolar echo pulse sequences can be efficiently used for monitoring and characterizing this type of reaction. Nonetheless, the DF-MSE method showed intrinsic advantages, such as easier data handling and processing, and seems to be the method of choice for monitoring this type of reaction.In general, the procedure is suitable for characterizing reactions involving the formation of solidproducts from liquid reagents, with some adaptations concerning the reaction model. Menos1H time domain nuclear magnetic resonance (1H TD-NMR) at a low magnetic field becomes a powerful technique for the structure and dynamics characterization of soft organic materials. This relies mostly on the method sensitivity to the 1H-1H magnetic dipolar couplings, which depend on the molecular orientation with respect to the applied magnetic field. On the other hand, the good sensitivity of the 1H detection makes it possible to monitor real time processes that modify the dipolar coupling as a result of changes in the molecular mobility. In this regard, the so-called dipolar echoes technique can increase the sensitivity and accuracy of the real-time monitoring. In this article we evaluate the performance of commonly used 1H TD-NMR dipolar echo methods for probing polymerization reactions. As a proof of principle, we monitor the cure of a commercial epoxy resin,using techniques such as mixed-Magic Sandwich Echo (MSE), Rhim Kessemeier—Radiofrequency Optimized Solid Echo (RK-ROSE) and Dipolar Filtered Magic Sandwich Echo (DF-MSE). Applying a reaction kinetic model that supposes simultaneous autocatalytic and noncatalytic reaction pathways,we show the analysis to obtain the rate and activation energy for the epoxy curing reaction using the NMR data. The results obtained using the different NMR methods are in good agreement among them and also results reported in the literature for similar samples. This demonstrates that any of these dipolar echo pulse sequences can be efficien... Mostrar Tudo |
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Palavras-Chave: |
Autocatalytic reaction; Dipolar echoes; Epoxy resin; Ime-domain NMR; Polymerization reaction. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/233135/1/P-Real-Time-Monitoring-Polymerization-Reactions-Using-Dipolar.pdf
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Marc: |
LEADER 02669naa a2200241 a 4500
001 2141628
005 2024-01-23
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.3390/molecules27020566$2DOI
100 1 $aGARCIA, R. H. S.
245 $aReal-Time monitoring polymerization reactions using dipolar echoes in 1H time domain NMR at a low magnetic field.$h[electronic resource]
260 $c2022
300 $a14 p.
520 $a1H time domain nuclear magnetic resonance (1H TD-NMR) at a low magnetic field becomes a powerful technique for the structure and dynamics characterization of soft organic materials. This relies mostly on the method sensitivity to the 1H-1H magnetic dipolar couplings, which depend on the molecular orientation with respect to the applied magnetic field. On the other hand, the good sensitivity of the 1H detection makes it possible to monitor real time processes that modify the dipolar coupling as a result of changes in the molecular mobility. In this regard, the so-called dipolar echoes technique can increase the sensitivity and accuracy of the real-time monitoring. In this article we evaluate the performance of commonly used 1H TD-NMR dipolar echo methods for probing polymerization reactions. As a proof of principle, we monitor the cure of a commercial epoxy resin,using techniques such as mixed-Magic Sandwich Echo (MSE), Rhim Kessemeier—Radiofrequency Optimized Solid Echo (RK-ROSE) and Dipolar Filtered Magic Sandwich Echo (DF-MSE). Applying a reaction kinetic model that supposes simultaneous autocatalytic and noncatalytic reaction pathways,we show the analysis to obtain the rate and activation energy for the epoxy curing reaction using the NMR data. The results obtained using the different NMR methods are in good agreement among them and also results reported in the literature for similar samples. This demonstrates that any of these dipolar echo pulse sequences can be efficiently used for monitoring and characterizing this type of reaction. Nonetheless, the DF-MSE method showed intrinsic advantages, such as easier data handling and processing, and seems to be the method of choice for monitoring this type of reaction.In general, the procedure is suitable for characterizing reactions involving the formation of solidproducts from liquid reagents, with some adaptations concerning the reaction model.
653 $aAutocatalytic reaction
653 $aDipolar echoes
653 $aEpoxy resin
653 $aIme-domain NMR
653 $aPolymerization reaction
700 1 $aFILGUEIRAS, J. G.
700 1 $aCOLNAGO, L. A.
700 1 $aAZEVEDO, E. R.
773 $tMolecules$gv. 27, 566, 2022.
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Embrapa Instrumentação (CNPDIA) |
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