Models for predicting solubility of drugs in solvent mixtures have an important practical relevance in drug\r\nformulation. Satranidazole, BCS class II, whose physicochemical properties in solution have not been studied enormously.\r\nExtended hildebrand solubility approach (EHSA) is effectively applied to assess the equilibrium solubility of satranidazole in\r\nbinary solvent mixtures at 298.15 K. The equilibrium solubility of satranidazole in various water-PEG 600 mixtures was\r\nexplored in terms of solute-solvent interactions using a modified version of hildebrand-Scatchard treatment for regular\r\nsolutions. The solubility equation employs term interaction energy (W) to replace the geometric mean (?1?2), where ?1 and ?2\r\nare the cohesive energy densities for the solvent and solute, respectively. The new equation provides an accurate prophecy of\r\nequilibrium solubility once the interaction energy, W, is obtained. In this case, the energy term is regressed against a polynomial\r\nin ?1 of the binary mixture. Quadratic, cubic and quartic expressions of ââ?¬Ë?Wââ?¬â?¢ in terms of solvent solubility parameters were found\r\nfor prognosticating the solubility of satranidazole in water-PEG 600 mixtures. A satisfactory correlation-performance of EHSA\r\nwas found using a standard polynomial model in order fourth of the W interaction energy vs. solubility parameter of the\r\nmixtures (Overall mean percentage error was ~-8.2%). Therefore, this empirical model has latent expediency in preformulation\r\nand formulation studies during which solubility prophecy is important for drug design processes.
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