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Synthesis and Characterization of Poly(D,L-Lactide-co-Glycolide) Copolymer 被引量:1
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作者 Cynthia D’Avila Carvalho Erbetta Ricardo José Alves +2 位作者 Jarbas Magalhaes Resende Roberto Fernando de Souza Freitas Ricardo Geraldo de Sousa 《Journal of Biomaterials and Nanobiotechnology》 2012年第2期208-225,共18页
The copolymer poly(D,L-lactide-co-glycolide) is one of the most interesting polymers for medical applications. This interest is justified by the fact that it is bioreabsorbable, biocompatible and non-toxic, while its ... The copolymer poly(D,L-lactide-co-glycolide) is one of the most interesting polymers for medical applications. This interest is justified by the fact that it is bioreabsorbable, biocompatible and non-toxic, while its degradation kinetics can be modified by the copolymerization ratio of the monomers. In this study, copolymers were synthesised at 175?C by opening the rings of the cyclic dimers of the D,L-lactide and glycolide monomers in the presence of stannous octoate initiator and lauryl alcohol co-initiator. The application of vacuum to the reaction medium, coupled with adequate stirring, is essential for obtaining good results. The following analytical techniques were used to characterise the synthesised copolymers: Differential Scanning Calorimetry (DSC), Thermogravimetry (TG), Nuclear Magnetic Resonance Spectroscopy (NMR) and Fourier Transform Infrared Spectroscopy (FTIR). Both the input monomers and the reaction products were analysed. Important characteristics, such as melting temperature, glass transition temperature, thermal stability, chemical composition and the ratio of the monomers in the synthesised copolymer, were obtained from these analyses. These results helped to infer the absence of residual monomers in the synthesised copolymers. 展开更多
关键词 PLGA Synthesis Characterization DSC TG NMR FTIR
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Enzyme from Banana(Musa sp.)Extraction Procedures for Sensitive Adrenaline Biosensor Construction
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作者 Solange Carvalho da Silva Célio Wisniewski +1 位作者 Pedro Orival Luccas Cristiana Schmidt de Magalhaes 《American Journal of Analytical Chemistry》 2013年第6期293-300,共8页
For building a biosensor, at least two enzyme sources can be employed. The pure enzyme has features with better selectivity and low stability. Crude extract presents better stability and wrong selectivity. Thus, one i... For building a biosensor, at least two enzyme sources can be employed. The pure enzyme has features with better selectivity and low stability. Crude extract presents better stability and wrong selectivity. Thus, one intermediate condition can be feasible joining both benefits of crude extract and pure enzymes. For that result, several procedures of extraction and semi purification of polyphenol oxidase (PPO) enzyme from banana (Musa sp.) were studied. The results showed that cleaned enzymatic extracts presented higher specific activities than crude extracts (2.8 up to 5.3 fold), despite the total protein concentration diminishing from 27% up to 72%, indicating that polyphenol oxidase (PPO) enzyme was preserved in them. The biosensors with 125 AU mL-1 containing cleaned enzymatic extracts performed better by grinding or grinding plus sonication for 30 s. They were linear over the ranges of 5.9 × 10-6 mol·L-1 to 1.4 × 10-3 mol·L-1 and 7.9 × 10-8 mol·L-1 to 4.0 × 10-3 mol·L-1, respectively. The limit of Detection (LOD) was 5.9 × 10-6 mol·L-1 and 7.9 × 10-8 mol·L-1, respectively. The LOD obtained is adequate to adrenaline determination on blood and medicinal samples, and were applied in medicinal samples with satisfactory results. 展开更多
关键词 Enzymatic Extract EPINEPHRINE BIOSENSOR Polyphenol Oxidase
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Two Forms of Experimental Simulation Analysis for Multiaxial Drilling Efforts in the Time Domain Model
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作者 Dionisio Jose Rodrigues da Costa Jose Flavio Feiteira +1 位作者 Jorge A. R. Duran Ladario da Silva 《材料科学与工程(中英文B版)》 2016年第1期1-13,共13页
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Characterization of atmospheric aerosol (PM10 and PM2.5) from a medium sized city in S?o Paulo state,Brazil 被引量:3
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作者 Bruno T.Franzin Filipe C.Guizellini +5 位作者 Diego V.de Babos Ossamu Hojo Ieda Ap.Pastre Mary R.R.Marchi Fernando L.Fertonani Cristina M.R.R.Oliveira 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2020年第3期238-251,共14页
Air pollution causes deleterious effects on human health with aerosols being among the most polluting agents.The objective of this work is the characterization of the PM2.5 and PM10 aerosol mass in the atmosphere.The ... Air pollution causes deleterious effects on human health with aerosols being among the most polluting agents.The objective of this work is the characterization of the PM2.5 and PM10 aerosol mass in the atmosphere.The methods of analysis include WD-XRF and EDS.Data were correlated with meteorological information and air mass trajectories(model HYSPLIT)by multivariate analysis.A morphological structural analysis was also carried out to identify the probable sources of atmospheric aerosols in the city of Sao Jose do Rio Preto,Brazil.The mean mass concentration values obtained were 24.54 μg/m^3 for PM10,above the WHO annual standard value of 20 μg/m^3 and 10.88 μg/m^3 for PM2.5 whose WHO recommended limit is10 μg/m^3.WD-XRF analysis of the samples revealed Si and Al as major components of the coarse fraction.In the fine fraction,the major elements were Al and S.The SEM-FEG characterization allowed identifying the morphology of the particles in agglomerates,ellipsoids and filaments in the PM10,besides spherical in the PM2.5.The analysis by EDS corroborated WD-XRF results,identifying the crustal elements,aluminosilicates and elements of anthropogenic origin in the coarse fraction.For the fine fraction crustal elements were also identified;aluminosilicates,black carbon and spherical particles(C and O) originating from combustion processes were predominant.The use of multivariate analysis to correlate air mass trajectories with the results of the morpho-structural characterization of the particulate matter allowed confirmation of the complex composition of the particles resulting from the combination of both local and long-distance sources. 展开更多
关键词 URBAN AEROSOL PM10 PM2.5 WD-XRF SEM-EDS
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