982 resultados para Fração
Resumo:
This study was developed in an area located on the outer shelf in the Potiguar Basin, Brazilian equatorial margin; this tropical shelf represents a modern, highly dynamic mixed carbonate-siliciclastic system. Field sampling was carried out during 3 cruises surrounding a shallow-water exploratory well to compare sediment properties of the seafloor, including grainsize, texture, mineral composition, carbonate content, and organic matter. Cruise 1 (C1) was carried prior to drilling, while Cruise 2(C2) and 3 (C3) respectivelly 3 and 12 months after drilling. The sample grid used had 16 stations located along 4 radials from 50 m the well up to a distance of 500 m. Sediments were analyzed in the first 0-2 cm, and 0-10 cm layers. The results show that sedimentary cover around the well is poor to very poorly sorted, with the particle size predominantly in the medium to coarse sand fraction, followed by gravel and mud. The content of calcium carbonate is greater than 96%, associated to bioclastic sediments, and the content of organic matter is less than 12%. Only minor sedimentological variations occured in the area affected by drilling operations. Mainly observed during the second cruise, in terms of a change in grain size distribution associated to an increase in siliciclastic content, This impact occurred in the most surficial sediment (0-2 cm), in the radial closest to the well (50 m), and could suggest the effects of drilling. However, in the third cruise, one year after drilling, the sediments return to show the same characteristics as in the first cruise. These results show no significant sedimentological variations due to drilling activity, and indicate that ocean dynamics in this area was high enough to recover the environment original characteristics.
Resumo:
The thermodynamic performance of a refrigeration system can be improved by reducing the compression work by a particular technique for a specific heat removal rate. This study examines the effect of small concentrations of Al2O3 (50 nm) nanoparticles dispersion in the mineral oil based lubricant on the: viscosity, thermal conductivity, and lubrication characteristics as well as the overall performance (based on the Second Law of Thermodynamics) of the refrigerating system using R134a or R600a as refrigerants. The study looked at the influences of variables: i) refrigerant charge (100, 110, 120 and 130 g), ii) rotational speed of the condenser blower (800 and 1100 RPM) and iii) nanoparticle concentration (0.1 and 0.5 g/l) on the system performance based on the Taguchi method in a matrix of L8 trials with the criterion "small irreversibility is better”. They were carried pulldown and cycling tests according to NBR 12866 and NBR 12869, respectively, to evaluate the operational parameters: on-time ratio, cycles per hour, suction and discharge pressures, oil sump temperature, evaporation and condensation temperatures, energy consumption at the set-point, total energy consumption and compressor power. In order to evaluate the nanolubricant characteristics, accelerated tests were performed in a HFRR bench. In each 60 minutes test with nanolubricants at a certain concentration (0, 0.1 and 0.5 g/l), with three replications, the sphere (diameter 6.00 ± 0.05 mm, Ra 0.05 ± 0.005 um, AISI 52100 steel, E = 210 GPa, HRC 62 ± 4) sliding on a flat plate (cast iron FC200, Ra <0.5 ± 0.005 um) in a reciprocating motion with amplitude of 1 mm, frequency 20 Hz and a normal load of 1,96 N. The friction coefficient signals were recorded by sensors coupled to the HFRR system. There was a trend commented bit in the literature: a nanolubricant viscosity reduction at the low nanoparticles concentrations. It was found the dominant trend in the literature: increased thermal conductivity with increasing nanoparticles mass fraction in the base fluid. Another fact observed is the significant thermal conductivity growth of nanolubricant with increasing temperature. The condenser fan rotational speed is the most influential parameter (46.192%) in the refrigerator performance, followed by R600a charge (38.606%). The Al2O3 nanoparticles concentration in the lubricant plays a minor influence on system performance, with 12.44%. The results of power consumption indicates that the nanoparticles addition in the lubricant (0.1 g/L), together with R600a, the refrigerator consumption is reduced of 22% with respect to R134a and POE lubricant. Only the Al2O3 nanoparticles addition in the lubricant results in a consumption reduction of about 5%.
Resumo:
The thermodynamic performance of a refrigeration system can be improved by reducing the compression work by a particular technique for a specific heat removal rate. This study examines the effect of small concentrations of Al2O3 (50 nm) nanoparticles dispersion in the mineral oil based lubricant on the: viscosity, thermal conductivity, and lubrication characteristics as well as the overall performance (based on the Second Law of Thermodynamics) of the refrigerating system using R134a or R600a as refrigerants. The study looked at the influences of variables: i) refrigerant charge (100, 110, 120 and 130 g), ii) rotational speed of the condenser blower (800 and 1100 RPM) and iii) nanoparticle concentration (0.1 and 0.5 g/l) on the system performance based on the Taguchi method in a matrix of L8 trials with the criterion "small irreversibility is better”. They were carried pulldown and cycling tests according to NBR 12866 and NBR 12869, respectively, to evaluate the operational parameters: on-time ratio, cycles per hour, suction and discharge pressures, oil sump temperature, evaporation and condensation temperatures, energy consumption at the set-point, total energy consumption and compressor power. In order to evaluate the nanolubricant characteristics, accelerated tests were performed in a HFRR bench. In each 60 minutes test with nanolubricants at a certain concentration (0, 0.1 and 0.5 g/l), with three replications, the sphere (diameter 6.00 ± 0.05 mm, Ra 0.05 ± 0.005 um, AISI 52100 steel, E = 210 GPa, HRC 62 ± 4) sliding on a flat plate (cast iron FC200, Ra <0.5 ± 0.005 um) in a reciprocating motion with amplitude of 1 mm, frequency 20 Hz and a normal load of 1,96 N. The friction coefficient signals were recorded by sensors coupled to the HFRR system. There was a trend commented bit in the literature: a nanolubricant viscosity reduction at the low nanoparticles concentrations. It was found the dominant trend in the literature: increased thermal conductivity with increasing nanoparticles mass fraction in the base fluid. Another fact observed is the significant thermal conductivity growth of nanolubricant with increasing temperature. The condenser fan rotational speed is the most influential parameter (46.192%) in the refrigerator performance, followed by R600a charge (38.606%). The Al2O3 nanoparticles concentration in the lubricant plays a minor influence on system performance, with 12.44%. The results of power consumption indicates that the nanoparticles addition in the lubricant (0.1 g/L), together with R600a, the refrigerator consumption is reduced of 22% with respect to R134a and POE lubricant. Only the Al2O3 nanoparticles addition in the lubricant results in a consumption reduction of about 5%.
Resumo:
The medicinal plants constitute a rich source of biologically active compounds used for the treatment of many psychiatric disorders, such as anxiety disorders and depression. Generalized anxiety disorder has increased significantly, being the second most prevalent disorder in care facilities to public health. Depression is considered a chronic and common psychiatric disorder that affects 350 million people of all ages around the world. In this context, the pharmacological intervention conduits have been employed, effective, although leave to be desired when observed adverse effects. The genus Passiflora is commonly commercially known by its fruit, but is also widely used in traditional Brazilian medicine. Passiflora edulis displays considerable morphological variability. This plant produces two types of fruit: Purple (Passiflora edulis Sims fo. edulis) and yellow (Passiflora edulis fo. flavicarpa Degener). This study investigated the central effects of aqueous extract of the leaves of the two varieties of the species Passiflora edulis in tests used to assess behavior related to anxiety and depression, as well as investigating the potential effect of the antidepressant-like fractions of edulis fo. edulis and neuropharmacological mechanisms responsible for this action. To conduct this study used male Swiss mice (2 months old, weighing 30-35 g). The animals received the aqueous extract of the leaves of the two species of Passiflora: edulis fo. edulis (100, 300, 1000 mg / kg) and fractions ethyl acetate, butanol and aqueous waste (25, 50, 75, 100 mg / kg) and edulis fo. flavicarpa (30, 100, 300, 1000 mg / kg) or saline by gavage 60 minutes prior to the maze tests at high cross the open field test, test forced swim test and sedation induced by thiopental. To investigate the mechanism of action of the activity of antidepressant type of fractions the following drugs were used: PCPA (inhibitor of 5-HT synthesis) AMPT (inhibitor of catecholamine synthesis), DSP-4 (noradrenergic neurotoxin) and Sulpiride (antagonist selective dopamine D2 receptor). They were used as a standard positive control, fluoxetine and nortriptyline. The results of the phytochemical profile show very different characteristics to the aqueous extract of the varieties of Passiflora edulis "flavicarpa" and "edulis". The aqueous extracts of both varieties of Passiflora edulis share anxiolytic activity type (edulis fo. edulis 300 mg/kg; edulis fo. flavicarpa 300 and 1000 mg/kg) and antidepressant (edulis fo. edulis 300 mg/kg; edulis fo flavicarpa 1000 mg/kg), while the effect hipolocomotor/sedative was only seen for edulis fo. edulis (1000 mg/kg). Both fractions ethyl acetate, butanol aqueous extract edulis fo. edulis showed activity type antidepressant at a dose of 50 mg/kg in the forced swim test. The data suggest that the effect of antidepressant-like fractions edulis fo. edulis involves catecholaminergic and serotonergic neurotransmission, particularly dopaminergic, there is seen that pre-treatment DSP-4 is not affected antidepressant action of fractions as was dependent activation of dopamine D2 receptors.
Resumo:
The medicinal plants constitute a rich source of biologically active compounds used for the treatment of many psychiatric disorders, such as anxiety disorders and depression. Generalized anxiety disorder has increased significantly, being the second most prevalent disorder in care facilities to public health. Depression is considered a chronic and common psychiatric disorder that affects 350 million people of all ages around the world. In this context, the pharmacological intervention conduits have been employed, effective, although leave to be desired when observed adverse effects. The genus Passiflora is commonly commercially known by its fruit, but is also widely used in traditional Brazilian medicine. Passiflora edulis displays considerable morphological variability. This plant produces two types of fruit: Purple (Passiflora edulis Sims fo. edulis) and yellow (Passiflora edulis fo. flavicarpa Degener). This study investigated the central effects of aqueous extract of the leaves of the two varieties of the species Passiflora edulis in tests used to assess behavior related to anxiety and depression, as well as investigating the potential effect of the antidepressant-like fractions of edulis fo. edulis and neuropharmacological mechanisms responsible for this action. To conduct this study used male Swiss mice (2 months old, weighing 30-35 g). The animals received the aqueous extract of the leaves of the two species of Passiflora: edulis fo. edulis (100, 300, 1000 mg / kg) and fractions ethyl acetate, butanol and aqueous waste (25, 50, 75, 100 mg / kg) and edulis fo. flavicarpa (30, 100, 300, 1000 mg / kg) or saline by gavage 60 minutes prior to the maze tests at high cross the open field test, test forced swim test and sedation induced by thiopental. To investigate the mechanism of action of the activity of antidepressant type of fractions the following drugs were used: PCPA (inhibitor of 5-HT synthesis) AMPT (inhibitor of catecholamine synthesis), DSP-4 (noradrenergic neurotoxin) and Sulpiride (antagonist selective dopamine D2 receptor). They were used as a standard positive control, fluoxetine and nortriptyline. The results of the phytochemical profile show very different characteristics to the aqueous extract of the varieties of Passiflora edulis "flavicarpa" and "edulis". The aqueous extracts of both varieties of Passiflora edulis share anxiolytic activity type (edulis fo. edulis 300 mg/kg; edulis fo. flavicarpa 300 and 1000 mg/kg) and antidepressant (edulis fo. edulis 300 mg/kg; edulis fo flavicarpa 1000 mg/kg), while the effect hipolocomotor/sedative was only seen for edulis fo. edulis (1000 mg/kg). Both fractions ethyl acetate, butanol aqueous extract edulis fo. edulis showed activity type antidepressant at a dose of 50 mg/kg in the forced swim test. The data suggest that the effect of antidepressant-like fractions edulis fo. edulis involves catecholaminergic and serotonergic neurotransmission, particularly dopaminergic, there is seen that pre-treatment DSP-4 is not affected antidepressant action of fractions as was dependent activation of dopamine D2 receptors.
Resumo:
Advanced Oxidation Processes (AOP) are techniques involving the formation of hydroxyl radical (HO•) with high organic matter oxidation rate. These processes application in industry have been increasing due to their capacity of degrading recalcitrant substances that cannot be completely removed by traditional processes of effluent treatment. In the present work, phenol degrading by photo-Fenton process based on addition of H2O2, Fe2+ and luminous radiation was studied. An experimental design was developed to analyze the effect of phenol, H2O2 and Fe2+ concentration on the fraction of total organic carbon (TOC) degraded. The experiments were performed in a batch photochemical parabolic reactor with 1.5 L of capacity. Samples of the reactional medium were collected at different reaction times and analyzed in a TOC measurement instrument from Shimadzu (TOC-VWP). The results showed a negative effect of phenol concentration and a positive effect of the two other variables in the TOC degraded fraction. A statistical analysis of the experimental design showed that the hydrogen peroxide concentration was the most influent variable in the TOC degraded fraction at 45 minutes and generated a model with R² = 0.82, which predicted the experimental data with low precision. The Visual Basic for Application (VBA) tool was used to generate a neural networks model and a photochemical database. The aforementioned model presented R² = 0.96 and precisely predicted the response data used for testing. The results found indicate the possible application of the developed tool for industry, mainly for its simplicity, low cost and easy access to the program.
Resumo:
Advanced Oxidation Processes (AOP) are techniques involving the formation of hydroxyl radical (HO•) with high organic matter oxidation rate. These processes application in industry have been increasing due to their capacity of degrading recalcitrant substances that cannot be completely removed by traditional processes of effluent treatment. In the present work, phenol degrading by photo-Fenton process based on addition of H2O2, Fe2+ and luminous radiation was studied. An experimental design was developed to analyze the effect of phenol, H2O2 and Fe2+ concentration on the fraction of total organic carbon (TOC) degraded. The experiments were performed in a batch photochemical parabolic reactor with 1.5 L of capacity. Samples of the reactional medium were collected at different reaction times and analyzed in a TOC measurement instrument from Shimadzu (TOC-VWP). The results showed a negative effect of phenol concentration and a positive effect of the two other variables in the TOC degraded fraction. A statistical analysis of the experimental design showed that the hydrogen peroxide concentration was the most influent variable in the TOC degraded fraction at 45 minutes and generated a model with R² = 0.82, which predicted the experimental data with low precision. The Visual Basic for Application (VBA) tool was used to generate a neural networks model and a photochemical database. The aforementioned model presented R² = 0.96 and precisely predicted the response data used for testing. The results found indicate the possible application of the developed tool for industry, mainly for its simplicity, low cost and easy access to the program.
