The Experts below are selected from a list of 1887 Experts worldwide ranked by ideXlab platform
Shui Wang - One of the best experts on this subject based on the ideXlab platform.
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Solubility of Florfenicol in Different Solvents at Temperatures from (278 to 318) K
Journal of Chemical & Engineering Data, 2011Co-Authors: Shui Wang, Na ChenAbstract:The solubilities of florfenicol in water, methanol, ethanol, acetone, tetrahydrofuran, 1-propanol, and water + acetone solvent mixtures from (278 to 318) K were measured with the mole fraction at atmospheric pressure. The light extinction method was used to determine the dissolution process. Results of these measurements were correlated with a Semiempirical Equation. For all systems, the Semiempirical Equation provided an accurate mathematical representation of the experimental data.
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Solubility of D-Aspartic Acid and L-Aspartic Acid in Aqueous Salt Solutions from (293 to 343) K
Journal of Chemical & Engineering Data, 2010Co-Authors: Jianhong Wang, Jidong Wang, Jisheng Liu, Shui Wang, Jie PeiAbstract:The solubility of d-aspartic acid and l-aspartic acid in aqueous solutions of various molalities of sodium chloride and potassium chloride was measured by using a laser technique from (293 to 343) K at atmospheric pressure. Results showed that sodium chloride and potassium chloride have a salting-in effect on the solubility of d-aspartic acid and l-aspartic acid has the same phenomenon in sodium chloride solution. The solubility data were correlated by a Semiempirical Equation.
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Solubility of N-(Phosphonomethyl) Iminodiacetic Acid in Aqueous Sodium Chloride Solutions from (292 to 353) K
Journal of Chemical & Engineering Data, 2010Co-Authors: Shui WangAbstract:The solubility of N-(phosphonomethyl) iminodiacetic acid in aqueous sodium chloride solutions were measured using a laser technique with a temperature range from (292 to 353) K. The results of these measurements were correlated with a Semiempirical Equation.
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solubility of n phosphonomethyl iminodiacetic acid in different binary mixtures
Journal of Chemical & Engineering Data, 2010Co-Authors: Na Chen, Shui Wang, Yixin QuAbstract:The solubilities of N-(phosphonomethyl)iminodiacetic acid in water, ethanol + water, propan-1-ol + water, and propan-2-ol + water were measured in the temperature range from (293 to 333) K at atmospheric pressure. A laser monitoring observation technique was used to determine the dissolution process. A Semiempirical Equation was found to provide an accurate mathematical representation of the experimental data.
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Solubilities of Terephthalic Acid, Phthalic Acid, and Isophthalic Acid in Tetrahydrofuran, Cyclohexanone, 1,2-Diethoxyethane, and Acetophenone
Journal of Chemical & Engineering Data, 2009Co-Authors: Yao-kun Che, Shui WangAbstract:Using a laser monitoring technique, the solubilities of terephthalic acid, phthalic acid, and isophthalic acid in tetrahydrofuran, cyclohexanone, 1,2-diethoxyethane, and acetophenone were determined from (293.15 to 343.85) K. The solubility data were correlated with a Semiempirical Equation.
Jingkang Wang - One of the best experts on this subject based on the ideXlab platform.
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Solubility of Form B Pravastatin Sodium in (Water + 2-Propanol)
Journal of Chemical & Engineering Data, 2009Co-Authors: Chun-yan Jia, Qiuxiang Yin, Junbo Gong, Jingkang WangAbstract:The solubilities of pravastatin sodium of form B in (water + 2-propanol) from (278 to 323) K were measured. A laser-monitoring observation technique was used to determine the dissolution of the solid phase in the solid + liquid mixtures. The experimental data were correlated with a Semiempirical Equation.
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Solubility of Form A Pravastatin Sodium in Aqueous 2-Propanol Mixtures
Journal of Chemical & Engineering Data, 2009Co-Authors: Chun-yan Jia, Qiuxiang Yin, Junbo Gong, Jingkang WangAbstract:The solubilities of pravastatin sodium of form A in aqueous 2-propanol mixtures from (278 to 323) K were measured. A laser monitoring observation technique was used to determine the dissolution of the solid phase in the solid + liquid mixtures. The experimental data were correlated with a Semiempirical Equation.
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Solubility of Lovastatin in Acetone + Water Solvent Mixtures
Journal of Chemical & Engineering Data, 2008Co-Authors: Hua Sun, Jingkang WangAbstract:The solubilities of lovastatin in binary acetone + water solvent mixtures were determined by the synthetic method from (277.35 to 310.05) K by a laser monitoring observation technique. Results of these measurements were correlated by the Semiempirical Equation. For the nine mole fractions of acetone studied, a Semiempirical Equation was found to provide an accurate mathematical representation of the experimental data.
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Solubility of Irbesartan (Form A) in Different Solvents between 278 K and 323 K
Journal of Chemical & Engineering Data, 2007Co-Authors: Lin Wang, Jingkang Wang, Ying BaoAbstract:The solubilities of irbesartan (form A) in ethanol, acetone, chloroform, dioxane, and tetrahydrofuran between 278 K and 323 K are measured by a synthetic method. A laser technique is used to determine the disappearance of undissolved solute particles. Results are correlated by a Semiempirical Equation, the calculated results of which are proved to show fine representation of experimental data.
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Solubility of acephate in different solvents from (292.90 to 327.60) K
Journal of Chemical & Engineering Data, 2007Co-Authors: Lingtao Wang, Qiuxiang Yin, And Meijing Zhang, Jingkang WangAbstract:The solubility of acephate in ethyl acetate, acetone, 2-propanol, and dichloromethane from (292.90 to 327.60) K were measured using a laser-monitoring observation under the atmospheric pressure. The experimental solubility data were correlated with a Semiempirical Equation. The results show that the solubilities of acephate in these four solvents all increase with the increase of temperature and that dichloromethane is the best solvent for the crystallization process of acephate.
Hossein Salehfar - One of the best experts on this subject based on the ideXlab platform.
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Semiempirical model based on thermodynamic principles for determining 6 kw proton exchange membrane electrolyzer stack characteristics
Journal of Power Sources, 2008Co-Authors: Nilesh Dale, Michael D Mann, Hossein SalehfarAbstract:Abstract The performance of a 6 kW proton exchange membrane (PEM) electrolyzer was modeled using a Semiempirical Equation. Total cell voltage was represented as a sum of the Nernst voltage, activation overpotential and ohmic overpotential. A temperature and pressure dependent Nernst potential, derived from thermodynamic principles, was used to model the 20 cell PEM electrolyzer stack. The importance of including the temperature dependence of various model components is clearly demonstrated. The reversible potential without the pressure effect decreases with increasing temperature in a linear fashion. The exchange current densities at both the electrodes and the membrane conductivity were the coefficients of the Semiempirical Equation. An experimental system designed around a 6 kW PEM electrolyzer was used to obtain the current–voltage characteristics at different stack temperatures. A nonlinear curve fitting method was employed to determine the Equation coefficients from the experimental current–voltage characteristics. The modeling results showed an increase in the anode and cathode exchange current densities with increasing electrolyzer stack temperature. The membrane conductivity was also increased with increasing temperature and was modeled as a function of temperature. The electrolyzer energy efficiencies at different temperatures were evaluated using temperature dependent higher heating value voltages instead of a fixed value of 1.48 V.
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Semiempirical Model for Determining PEM Electrolyzer Stack Characteristics
Journal of Fuel Cell Science and Technology, 2005Co-Authors: Kevin W. Harrison, Eduardo Hernández-pacheco, Michael D Mann, Hossein SalehfarAbstract:A Semiempirical Equation was used to represent the performance characteristics of a 20-cell proton exchange membrane electrolyzer stack. The coefficients of the Equation are the exchange current densities and membrane conductivity. These coefficients were determined using experimental data and a nonlinear curve fitting method. The anode exchange current density was found to be 1.65× 10 -8 A cm -2 , the cathode exchange current density 0.09 A cm -2 , and the membrane conductivity 0.075 S cm -1 . External programmable power supplies were used to obtain the (I-V) characteristic curve of a commercial proton exchange membrane electrolyzer. Stack current, voltage, and system temperature were monitored while 1 A current steps were applied to the electrolyzer stack.
Shin-min Shih - One of the best experts on this subject based on the ideXlab platform.
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Semiempirical Equation for liquid phase mass transfer coefficient for drops
Aiche Journal, 1993Co-Authors: Chien-t'ai Hsu, Shin-min ShihAbstract:We use the data reported in the literature to study the relation between the liquid-phase mass-transfer coefficient and drop diameter, and propose a Semiempirical Equation which is based on the surface stretch model to correlate the experimental data available
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Semiempirical Equation for liquid‐phase mass‐transfer coefficient for drops
AIChE Journal, 1993Co-Authors: Chien-t'ai Hsu, Shin-min ShihAbstract:We use the data reported in the literature to study the relation between the liquid-phase mass-transfer coefficient and drop diameter, and propose a Semiempirical Equation which is based on the surface stretch model to correlate the experimental data available
Chun-yan Jia - One of the best experts on this subject based on the ideXlab platform.
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Solubility of Form B Pravastatin Sodium in (Water + 2-Propanol)
Journal of Chemical & Engineering Data, 2009Co-Authors: Chun-yan Jia, Qiuxiang Yin, Junbo Gong, Jingkang WangAbstract:The solubilities of pravastatin sodium of form B in (water + 2-propanol) from (278 to 323) K were measured. A laser-monitoring observation technique was used to determine the dissolution of the solid phase in the solid + liquid mixtures. The experimental data were correlated with a Semiempirical Equation.
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Solubility of Form A Pravastatin Sodium in Aqueous 2-Propanol Mixtures
Journal of Chemical & Engineering Data, 2009Co-Authors: Chun-yan Jia, Qiuxiang Yin, Junbo Gong, Jingkang WangAbstract:The solubilities of pravastatin sodium of form A in aqueous 2-propanol mixtures from (278 to 323) K were measured. A laser monitoring observation technique was used to determine the dissolution of the solid phase in the solid + liquid mixtures. The experimental data were correlated with a Semiempirical Equation.
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Solubility of Pravastatin Sodium in Water, Methanol, Ethanol, 2-Propanol, 1-Propanol, and 1-Butanol from (278 to 333) K
Journal of Chemical & Engineering Data, 2008Co-Authors: Chun-yan Jia, Qiuxiang Yin, Jingjing Song, Guangyang Hou, Meijing ZhangAbstract:The solubilities of pravastatin sodium in water, methanol, ethanol, 2-propanol, 1-propanol, and 1-butanol from (278 to 333) K were measured. A laser monitoring observation technique was used to determine the dissolution of the solid phase in the solid + liquid mixture. The experimental data were correlated with a Semiempirical Equation. The solubilities in the six solvents decrease in the following order: water > methanol > ethanol > 1-propanol > 1-butanol > 2-propanol.
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Solubility of Potassium Clavulanate in Ethanol, 1-Propanol, 1-Butanol, 2-Propanol, and 2-Methyl-1-propanol between 273 K and 305 K
Journal of Chemical & Engineering Data, 2005Co-Authors: Bao-shu Liu, Jingkang Wang, Junbo Gong, Chun-yan JiaAbstract:The solubility of potassium clavulanate in ethanol, 1-propanol, 1-butanol, 2-propanol, and 2-methyl-1-propanol between 273 K and 305 K were measured using a laser technique. This method was used to determine the dissolution of the solid phase in a solid + liquid mixture. Results of these measurements were correlated with a Semiempirical Equation.
