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Registro Completo |
Biblioteca(s): |
Embrapa Gado de Leite. |
Data corrente: |
17/12/2018 |
Data da última atualização: |
24/01/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
MILHOMENS, G. C.; ALMEIDA, C. G. de; ZANETTE, R. de S. S.; SOUZA, N. L. G. D. de; MUNK, M.; BRANDAO, H. de M.; OLIVEIRA, L. F. C. de. |
Afiliação: |
Gabriela Costa Milhomens, Universidade Federal de Tocantins; Camila Guimarães de Almeida; Rafaella de Sousa Salomão Zanette, UFJF; Nelson Luis Gonçalves Dias de Souza, Universidade Federal de Tocantins; Michele Munk, UFJF; HUMBERTO DE MELLO BRANDAO, CNPGL; Luiz Fernando Cappa de Oliveira, UFJF. |
Título: |
Biocompatibility and adsorption properties of hydrogels obtained by graft polymerization of acrylic acid on cellulose from rice hulls. |
Ano de publicação: |
2018 |
Fonte/Imprenta: |
Iranian Polymer Journal, v. 27, n. 12, p. 1023-1032, 2018. |
DOI: |
10.1007/s13726-018-0672-z |
Idioma: |
Inglês |
Conteúdo: |
Abstract Hydrogels constitute a group of cross-linked polymeric materials with the capability of swelling and retaining large amounts of water without dissolving. In this work, the hydrogels were obtained by grafting the acrylic acid on cellulose from rice hulls and cross-linking it with glycerol, ethylene glycol, and polyethylene glycol (Mw =200 and 10,000 g mol−1). The samples were characterized using IR and Raman spectroscopy, the absence of the bands at 1636 and 1614 cm−1 (in IR) and at 1659 and 1637 cm−1 (in Raman), in the spectra of grafted cellulose and assigned to ν(C=C), indicated the polymerization process and the absence of the monomer residual. The cross-linking process was verified by the appearance of bands at 1090 cm−1 (IR) and 996 cm−1 (Raman), attributed to ν(C?O?C). Thermogravimetric analysis showed that the cross-linked sample with glycerol presented the lowest thermal stability. The molecular mass of CDClCC-g-AA was 55.56±5.21 kDa with an R2 of 0.9741 and the CDClCC average particle size of 694 nm. The topography and the average roughness of the samples were obtained by atomic force microscopy and the samples that were cross-linked with the polyethylene glycol presented greater roughness. The degree of swelling was lower in the sample cross-linked with ethylene glycol, which was related to its higher degree of cross-linking. Finally, the biocompatibility of the samples was studied by analyzing the toxic effect of the samples on human embryonic kidney cells, where results showed that samples cross-linked with ethylene glycol were non-toxic. MenosAbstract Hydrogels constitute a group of cross-linked polymeric materials with the capability of swelling and retaining large amounts of water without dissolving. In this work, the hydrogels were obtained by grafting the acrylic acid on cellulose from rice hulls and cross-linking it with glycerol, ethylene glycol, and polyethylene glycol (Mw =200 and 10,000 g mol−1). The samples were characterized using IR and Raman spectroscopy, the absence of the bands at 1636 and 1614 cm−1 (in IR) and at 1659 and 1637 cm−1 (in Raman), in the spectra of grafted cellulose and assigned to ν(C=C), indicated the polymerization process and the absence of the monomer residual. The cross-linking process was verified by the appearance of bands at 1090 cm−1 (IR) and 996 cm−1 (Raman), attributed to ν(C?O?C). Thermogravimetric analysis showed that the cross-linked sample with glycerol presented the lowest thermal stability. The molecular mass of CDClCC-g-AA was 55.56±5.21 kDa with an R2 of 0.9741 and the CDClCC average particle size of 694 nm. The topography and the average roughness of the samples were obtained by atomic force microscopy and the samples that were cross-linked with the polyethylene glycol presented greater roughness. The degree of swelling was lower in the sample cross-linked with ethylene glycol, which was related to its higher degree of cross-linking. Finally, the biocompatibility of the samples was studied by analyzing the toxic effect of th... Mostrar Tudo |
Palavras-Chave: |
Graft polymerization; Hydrogel. |
Thesaurus Nal: |
Acrylic acid; Biocompatibility; Cellulose; Spectroscopy. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
Marc: |
LEADER 02500naa a2200277 a 4500 001 2101832 005 2023-01-24 008 2018 bl uuuu u00u1 u #d 024 7 $a10.1007/s13726-018-0672-z$2DOI 100 1 $aMILHOMENS, G. C. 245 $aBiocompatibility and adsorption properties of hydrogels obtained by graft polymerization of acrylic acid on cellulose from rice hulls.$h[electronic resource] 260 $c2018 520 $aAbstract Hydrogels constitute a group of cross-linked polymeric materials with the capability of swelling and retaining large amounts of water without dissolving. In this work, the hydrogels were obtained by grafting the acrylic acid on cellulose from rice hulls and cross-linking it with glycerol, ethylene glycol, and polyethylene glycol (Mw =200 and 10,000 g mol−1). The samples were characterized using IR and Raman spectroscopy, the absence of the bands at 1636 and 1614 cm−1 (in IR) and at 1659 and 1637 cm−1 (in Raman), in the spectra of grafted cellulose and assigned to ν(C=C), indicated the polymerization process and the absence of the monomer residual. The cross-linking process was verified by the appearance of bands at 1090 cm−1 (IR) and 996 cm−1 (Raman), attributed to ν(C?O?C). Thermogravimetric analysis showed that the cross-linked sample with glycerol presented the lowest thermal stability. The molecular mass of CDClCC-g-AA was 55.56±5.21 kDa with an R2 of 0.9741 and the CDClCC average particle size of 694 nm. The topography and the average roughness of the samples were obtained by atomic force microscopy and the samples that were cross-linked with the polyethylene glycol presented greater roughness. The degree of swelling was lower in the sample cross-linked with ethylene glycol, which was related to its higher degree of cross-linking. Finally, the biocompatibility of the samples was studied by analyzing the toxic effect of the samples on human embryonic kidney cells, where results showed that samples cross-linked with ethylene glycol were non-toxic. 650 $aAcrylic acid 650 $aBiocompatibility 650 $aCellulose 650 $aSpectroscopy 653 $aGraft polymerization 653 $aHydrogel 700 1 $aALMEIDA, C. G. de 700 1 $aZANETTE, R. de S. S. 700 1 $aSOUZA, N. L. G. D. de 700 1 $aMUNK, M. 700 1 $aBRANDAO, H. de M. 700 1 $aOLIVEIRA, L. F. C. de 773 $tIranian Polymer Journal$gv. 27, n. 12, p. 1023-1032, 2018.
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Embrapa Gado de Leite (CNPGL) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Amazônia Oriental. Para informações adicionais entre em contato com cpatu.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Amazônia Oriental. |
Data corrente: |
07/01/2020 |
Data da última atualização: |
04/06/2020 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
MORAES, J. R. da S. C. de; ROLIM, G. de S.; MARTORANO, L. G.; APARECIDO, L. E. de O.; OLIVEIRA, M. do S. P. de; FARIAS NETO, J. T. de. |
Afiliação: |
José Reinaldo da Silva Cabral de Moraes, UNESP; Glauco de Souza Rolim, UNESP; LUCIETA GUERREIRO MARTORANO, CPATU; Lucas Eduardo de Oliveira Aparecido, UNESP; MARIA DO SOCORRO P DE OLIVEIRA, CPATU; JOAO TOME DE FARIAS NETO, CPATU. |
Título: |
Agrometeorological models to forecast açaí (Euterpe oleracea Mart.) yield in the Eastern Amazon. |
Ano de publicação: |
2020 |
Fonte/Imprenta: |
Journal of the Science of Food and Agriculture, v. 100, n. 4, p. 1558-1569, Mar. 2020. |
DOI: |
10.1002/jsfa.10164 |
Idioma: |
Inglês |
Conteúdo: |
The increasing demand in Brazil and the world for products derived from the açaí palm (Euterpe oleracea Mart) has generated changes in its production process, principally due to the necessity of maintaining yield in situations of seasonality and climate fluctuation. The objective of this study was to estimate açaí fruit yield in irrigated system (IRRS) and rainfed system or unirrigated (RAINF) using agrometeorological models in response to climate conditions in the eastern Amazon. Modeling was done using multiple linear regression using the ?stepwise forward? method of variable selection. Monthly air temperature (T) values, solar radiation (SR), vapor pressure deficit (VPD), precipitation + irrigation (P+I), and potential evapotranspiration (PET) in six phenological phases were correlated with yield. The thermal necessity value was calculated through the sum of accumulated degree days (ADD) up to the formation of fruit bunch, as well as the time necessary for initial leaf development, using a base temperature of 10 ∘C. The most importantmeteorological variableswere T, SR, and VPD for IRRS, and for RAINFwater stress had the greatest effect. The accuracy of the agrometeorological models, usingmaximumvalues formean absolute percent error (MAPE),was 0.01 in the IRRS and 1.12 in the RAINF. Using thesemodels yieldwas predicted approximately 6 to 9 months before the harvest, in April,May,November, and December in the IRRS, and January,May, June, August, September, and November for the RAINF. MenosThe increasing demand in Brazil and the world for products derived from the açaí palm (Euterpe oleracea Mart) has generated changes in its production process, principally due to the necessity of maintaining yield in situations of seasonality and climate fluctuation. The objective of this study was to estimate açaí fruit yield in irrigated system (IRRS) and rainfed system or unirrigated (RAINF) using agrometeorological models in response to climate conditions in the eastern Amazon. Modeling was done using multiple linear regression using the ?stepwise forward? method of variable selection. Monthly air temperature (T) values, solar radiation (SR), vapor pressure deficit (VPD), precipitation + irrigation (P+I), and potential evapotranspiration (PET) in six phenological phases were correlated with yield. The thermal necessity value was calculated through the sum of accumulated degree days (ADD) up to the formation of fruit bunch, as well as the time necessary for initial leaf development, using a base temperature of 10 ∘C. The most importantmeteorological variableswere T, SR, and VPD for IRRS, and for RAINFwater stress had the greatest effect. The accuracy of the agrometeorological models, usingmaximumvalues formean absolute percent error (MAPE),was 0.01 in the IRRS and 1.12 in the RAINF. Using thesemodels yieldwas predicted approximately 6 to 9 months before the harvest, in April,May,November, and December in the IRRS, and January,May, June, August, September, and Novembe... Mostrar Tudo |
Thesagro: |
Açaí; Clima; Euterpe Oleracea; Produção. |
Thesaurus NAL: |
Crop models. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
Marc: |
LEADER 02318naa a2200253 a 4500 001 2118319 005 2020-06-04 008 2020 bl uuuu u00u1 u #d 024 7 $a10.1002/jsfa.10164$2DOI 100 1 $aMORAES, J. R. da S. C. de 245 $aAgrometeorological models to forecast açaí (Euterpe oleracea Mart.) yield in the Eastern Amazon.$h[electronic resource] 260 $c2020 520 $aThe increasing demand in Brazil and the world for products derived from the açaí palm (Euterpe oleracea Mart) has generated changes in its production process, principally due to the necessity of maintaining yield in situations of seasonality and climate fluctuation. The objective of this study was to estimate açaí fruit yield in irrigated system (IRRS) and rainfed system or unirrigated (RAINF) using agrometeorological models in response to climate conditions in the eastern Amazon. Modeling was done using multiple linear regression using the ?stepwise forward? method of variable selection. Monthly air temperature (T) values, solar radiation (SR), vapor pressure deficit (VPD), precipitation + irrigation (P+I), and potential evapotranspiration (PET) in six phenological phases were correlated with yield. The thermal necessity value was calculated through the sum of accumulated degree days (ADD) up to the formation of fruit bunch, as well as the time necessary for initial leaf development, using a base temperature of 10 ∘C. The most importantmeteorological variableswere T, SR, and VPD for IRRS, and for RAINFwater stress had the greatest effect. The accuracy of the agrometeorological models, usingmaximumvalues formean absolute percent error (MAPE),was 0.01 in the IRRS and 1.12 in the RAINF. Using thesemodels yieldwas predicted approximately 6 to 9 months before the harvest, in April,May,November, and December in the IRRS, and January,May, June, August, September, and November for the RAINF. 650 $aCrop models 650 $aAçaí 650 $aClima 650 $aEuterpe Oleracea 650 $aProdução 700 1 $aROLIM, G. de S. 700 1 $aMARTORANO, L. G. 700 1 $aAPARECIDO, L. E. de O. 700 1 $aOLIVEIRA, M. do S. P. de 700 1 $aFARIAS NETO, J. T. de 773 $tJournal of the Science of Food and Agriculture$gv. 100, n. 4, p. 1558-1569, Mar. 2020.
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