Literature DB >> 3989680

Prediction of xanthine solubilities using statistical techniques.

A B Ochsner, R J Belloto, T D Sokoloski.   

Abstract

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.

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Year:  1985        PMID: 3989680     DOI: 10.1002/jps.2600740206

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  2 in total

1.  Quantitative solubility relationships and the effect of water uptake in triglyceride/monoglyceride microemulsions.

Authors:  Sagar S Rane; Yichen Cao; Bradley D Anderson
Journal:  Pharm Res       Date:  2007-12-19       Impact factor: 4.200

2.  Solubility Study of Acetylsalicylic Acid in Ethanol + Water Mixtures: Measurement, Mathematical Modeling, and Stability Discussion.

Authors:  Ali Nokhodchi; Taravat Ghafourian; Nour Nashed; Kofi Asare-Addo; Elmira Behboudi; Yasaman Sefid-Sefidehkhan; Aynaz Zarghampour; Elaheh Rahimpour; Abolghasem Jouyban
Journal:  AAPS PharmSciTech       Date:  2021-12-28       Impact factor: 3.246

  2 in total

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