PERFORMANCE OF THE YALKOWSKY & ROSEMAN AND JOUYBAN & ACREE MODELS ESTIMATING THE SOLUBILITY OF KETOPROFEN IN ETHANOL + WATER COSOLVENT MIXTURES

Abstract

Ketoprofen (KTP) is a widely used anti-inflammatory drug. In this paper the validity of a trained version of the Jouyban-Acree (J & A) model is evaluated to predict the solubility of KTP in ethanol + water cosolvent mixtures. The usefulness of the solubility log-linear equation proposed by Yalkowsky and Roseman (Y & R) is also evaluated for the same drug in this cosolvent system. The solubility estimation is studied as a function of temperature and cosolvent composition. The J & A and Y & R models require only the experimental solubility values in the pure solvents at all the temperatures evaluated. The calculated values by using both models deviate notoriously from experimental values in several cases.

Modeling the solubility of ketoprofen in mono-solvents at various temperatures

“…Its aqueous solubility at 37 °C is 0.45 mg/mL was increased to 34.88 mg/mL after converting as a sodium salt [3]. The solubility of ketoprofen was also increased by addition of ethanol [4] and propylene glycol [5] as the pharmaceutical cosolvents. Solubility of ketoprofen in organic solvents are available from the literature [6] but shows variability up to 300%.…”