Prediction of Xanthine Solubilities Using Statistical Techniques

Mixture response-surface methodology can be used as a technique to predict solubility in mixed solvent systems. The present report shows that if the intent is to predict solubility in nonideal solutions, mixture response-surface methodology is a better technique than one which assumes a particular m...

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Veröffentlicht in:Journal of pharmaceutical sciences 1985-02, Vol.74 (2), p.132-135
Hauptverfasser: Ochsner, Allison B., Belloto, Robert J., Sokoloski, Theodore D.
Format: Artikel
Sprache:eng
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Zusammenfassung:Mixture response-surface methodology can be used as a technique to predict solubility in mixed solvent systems. The present report shows that if the intent is to predict solubility in nonideal solutions, mixture response-surface methodology is a better technique than one which assumes a particular mechanism to hold true. This is demonstrated by comparing the predictive ability of the mixture response-surface model with that of an extended Hildebrand approach to nonideal solutions. The nonideal systems are those used by Martin and co-workers involving the solubility of theobromine, caffeine, and theophylline in dioxane–water mixtures.
ISSN:0022-3549
1520-6017
DOI:10.1002/jps.2600740206