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

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 Yalk...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Mauricio Gantiva, Alicia Yurquina, Fleming Martínez R.
Formato: article
Lenguaje:EN
Publicado: Universidad de Antioquia 2009
Materias:
Acceso en línea:https://doaj.org/article/fcf46babe3f4428bbf4c2c16f1116753
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
Descripción
Sumario: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.