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RISS 인기검색어
- 검색키워드
- 저자 : Abolghasem Jouyban (검색결과 4 건)
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Density, viscosity, and surface tension of water+ethanol mixtures from 293 to 323K
Ibrahim Sadek Khattab,Abolghasem Jouyban,Farzana Bandarkar,Mohammad Amin Abolghassemi Fakhree 한국화학공학회 2012 Korean Journal of Chemical Engineering Vol.29 No.6
Density, viscosity, and surface tension of liquids are important physicochemical properties which affect mass and heat transfer in solutions. The density, viscosity, and surface tension of binary mixture of water+ethanol at 293, 298, 303, 308, 313, 318, and 323 K are reported and compared with the available literature data. The findings of these comparisons show how the measured data are reproducible from different laboratories. The molar volume of water+ethanol mixtures are also calculated using measured density values. The Jouyban-Acree model was used for mathematical correlation of the data. The relative deviation (RD) was used as an error criterion and the RD values for correlation of density, viscosity, surface tension and molar volume data at investigated temperatures are 0.1±0.1%, 10.4±9.5%,4.2±3.6%, and 0.3±0.3%, respectively. The corresponding RDs for the predicted properties after training using the experimental data at 298 K are 0.2±0.2%, 14.1±15.8%, 5.4±4.6% and 0.4±0.3%, respectively, for density, viscosity,surface tension, and molar volume data. This study shows that the Jouyban-Acree model can correlate/predict physicochemical properties of the mixtures of solvents at different temperatures with acceptable error in calculation.
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William Eugence Acree Jr.,Abolghasem Jouyban 한국화학공학회 2016 Korean Journal of Chemical Engineering Vol.33 No.5
Published solubility data for N-ethylcarbazole dissolved in binary (ethanol+petroleum ether) solvent mixtures has been reanalyzed by using the combined nearly ideal binary solvent/Redlich-Kister (CNIBS/R-K) and Jouyban- Acree models. The CIBS/R-K model was found to describe the observed solubility data to within an overall absolute mean deviation of 1.7%. Slightly larger mean deviations of approximately 6.6% were noted for the Jouyban-Acree model. Mathematical expressions are derived for predicting the solubility N-ethylcarbazole dissolved in binary (ethanol+petroleum ether) solvent mixtures as a function of both temperature and binary solvent composition.
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Parisa Jafari,Mohammad Barzegar-Jalali,Abolghasem Jouyban 한국화학공학회 2023 Korean Journal of Chemical Engineering Vol.40 No.4
Solubility of salicylic acid in binary mixtures of water and betaine/propylene glycol (Bet/PG, molar ratio of 1:5), betaine/ethylene glycol (Bet/EG, molar ratio of 1:3) or betaine/glycerol (Bet/Gly, molar ratio of 1:3) deep eutectic solvents (DESs) was investigated via the shake flask method at 293.15–313.15 K under atmospheric pressure (≈85 kPa). The results indicate that the solubility values are enhanced with mass fraction of each DES and temperature and DES containing PG is the best cosolvent. The Hansen solubility parameter (HSP) of salicylic acid, neat solvents of each DES and water was calculated and used to predict the solubility of drug in each neat solvent. The experimental solubility values were in good agreement with the ones predicted from HSPs. Three cosolvency models (Jouyban-Acree, Jouyban-Acree-van’t Hoff and the modified version of Jouyban-Acree-van’t Hoff) and two activity coefficient models (NRTL and UNIQUAC) were selected to correlate the solubility data. Based on the obtained percentage mean relative deviations (MRD%) for back-calculated data, all the investigated models show good correlation and validation. Additionally, investigation of the apparent thermodynamic analysis presented an endothermic and entropy-driven dissolution of salicylic acid in all cosolvent compositions including neat DESs and water.
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Sarah Nozohouri,Ali Shayanfar,Zaira Johanna Cárdenas,Fleming Martinez,Abolghasem Jouyban 한국화학공학회 2017 Korean Journal of Chemical Engineering Vol.34 No.5
Solubility is one of the most significant physicochemical properties of drugs, and improving the solubility of drugs is still a challenging subject in pharmaceutical sciences due to requirements of enhancing their bioavailability. Celecoxib, according to the biopharmaceutics classification system (BCS), is a class 2 drug, possessing low water solubility (<5 μg·mL−1) and high permeability. Increasing the solubility of this group can lead to improved bioavailability, dose reduction and subsequently, increased efficiency and reduced side effects. In this study, celecoxib solubility was determined in binary mixtures of N-methyl-2-pyrrolidone (NMP)+water at 293.2, 298.2, 303.2, 308.2 and 313.2 K. The solubility of celecoxib is increased with the addition of NMP to the aqueous solutions and reaches a maximum value in neat NMP. In addition, increased temperature leads to enhanced solubility of celecoxib in a given solvent composition. The solubility data of celecoxib in NMP+water at different temperatures were correlated using different mathematical models including, the Jouyban-Acree model and a combination of the Jouyban-Acree and van’t Hoff models. Thermodynamic parameters, Gibbs energy, enthalpy and entropy of dissolution processes were performed based on Gibbs and van’t Hoff equations. Thermodynamic analysis allowed observing two main entropy or enthalpy-driven dissolution mechanisms, varying according to the composition of aqueous mixtures. Moreover, preferential solvation of celecoxib by water is observed in water-rich mixtures but preferential solvation by NMP was seen in mixtures with similar composition and also in NMP-rich mixtures.
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