Solid-liquid equilibrium solubility prediction of sulfanilamide in four binary solvent mixtures by using pure solvents solubility data from 278.15 to 318.15 K with the Abraham solvation parameter model, Yalkowsky Log-Linear and extended log-linear solubility thermodynamic models

被引:7
|
作者
Kodide, Kalyani [1 ]
Asadi, Prashanth [1 ]
Thati, Jyothi [1 ]
机构
[1] Osmania Univ, Univ Coll Technol A, Dept Chem Engn & Technol, Hyderabad 500007, India
关键词
Solid-liquid equilibrium; Sulfanilamide solubility; Jouyban-Acree-Abraham solvation; Parameters; Jouyban-Acree-Abraham solute parameters; Jouyban-Acree-Hansen; Solubility parameters; Yalkowsky Log-Linear model; CARBOXYLIC-ACID SOLUTES; CRYSTALLINE NONELECTROLYTE SOLUTES; JOUYBAN-ACREE MODEL; ORGANIC-SOLVENTS; MATHEMATICAL CORRELATION; THERMOCHEMICAL BEHAVIOR; INFINITE DILUTION; IONIC LIQUIDS; ACTIVITY-COEFFICIENTS; COSOLVENCY MODELS;
D O I
10.1016/j.molliq.2022.120634
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
The industrial application of sulfanilamide solubility in binary solvent mixtures is a critical factor in drug development, assessment, as well as future improvement. The current work eliminates the substantial experimental work, as well as the ability to apply improved and upgraded computed models that include solute physicochemical properties and activity coefficients. The predicted solid-liquid equilibrium data of sulfanilamide in acetone containing binary solvent mixtures at temperatures ranging from 278.15 to 318.15 K were calculated by applying the combined version of Jouyban-Acree model with Abraham solute parameter model, combined version of Jouyban-Acree model with Abraham solvation parameter model, combined version of Jouyban-Acree model with Hansen solubility parameter model, the Yalkowsky Log-Linear model, Extended log-linear model. In comparison to previously published binary solvent solubility data, this paper provides predicted binary solubility data using only mono-solvent sol-ubility data as well as from the computed models. From the solubility trained model the %ARD can be ranked as the combined version of combined version of the Jouyban-Acree model with Abraham Solute parameter model (19.47 %) < the Jouyban-Acree model with Hansen solubility parameter model (23.76 %) < the Yalkowsky model (50.54 %) < the combined version of Jouyban-Acree model with Abraham solvation parameter model (68.83 %) < the Extended log-linear model (615.78 %). The combined version of Jouyban-Acree model with Abraham Solute parameter model giving most reliable predicted solubility results compared to other computed models. The most important outcome of this research will be immensely beneficial in calculating binary solubility data utilizing only mono-solvent solubility data as well as from computed models. The binary solubility predictions were calculated from already reported mono-solvent solubility data from experimentally determined, Hildebrand-Scatchard equation-1 and Hildebrand-Scatchard equation-2.(c) 2022 Elsevier B.V. All rights reserved.
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页数:13
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