Mixture Experimental Design Applied to Solubility Predictions

Abstract The solubility of theophylline (as a model drug) was studied in four-component systems, using an a priori experimental strategy. Ethanol, polyethylenglycol, propylenglycol, and water were chosen as cosolvents. A reduced cubic model was postulated to describe the solubility as a junction of...

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Published in:Drug development and industrial pharmacy 1997, Vol.23 (7), p.639-645
Main Authors: Vojnovic, Dario, Chicco, Daniela
Format: Article
Language:English
Subjects:
Biological and medical sciences
General pharmacology
Medical sciences
Pharmacology. Drug treatments
Physicochemical properties. Structure-activity relationships
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description Abstract The solubility of theophylline (as a model drug) was studied in four-component systems, using an a priori experimental strategy. Ethanol, polyethylenglycol, propylenglycol, and water were chosen as cosolvents. A reduced cubic model was postulated to describe the solubility as a junction of mixture composition. A priori criteria in combination with an exchange algorithm were used to select, from a set of 31 candidate points, the optimal design with the least number of experiments. A weighting was assigned to each of the 31 experiments, on the basis of the cost, in order to obtain a design that would be optimal also from an economic point of view. Such a methodology made it possible to obtain, with the minimum number of experiments and with a low cost, a model which was validated and found suitable for accurate prediction of solubility.
doi_str_mv 10.3109/03639049709150764
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subjects Biological and medical sciences
General pharmacology
Medical sciences
Pharmacology. Drug treatments
Physicochemical properties. Structure-activity relationships
title Mixture Experimental Design Applied to Solubility Predictions
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