Predicting aqueous solubility: The role of crystallinity

Katherine A. Chu, Samuel H Yalkowsky

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

This paper revisits the role of crystallinity in predicting the aqueous solubility of a wide variety of organic compounds. Box and Comer (Current Drug Metabolism, 2008, 9, 869-878) fitted solubility data for 86 drugs to an equation based solely on log P. The General Solubility Equation of Jain and Yalkowsky, which accounts for the crystal lattice energy, was applied to the same data set and gives more accurate solubility predictions. In this simple comparison between two solubility prediction methods, we show that log P alone is only half of the solution, and that there is a need to include the melting point when dealing with crystalline solutes.

Original languageEnglish (US)
Pages (from-to)1184-1191
Number of pages8
JournalCurrent Drug Metabolism
Volume10
Issue number10
DOIs
StatePublished - 2009

Fingerprint

Solubility
Organic compounds
Metabolism
Crystal lattices
Pharmaceutical Preparations
Freezing
Melting point
Crystalline materials

Keywords

  • Aqueous
  • Aqueous solubility
  • Crystallinity
  • Log P
  • Melting point
  • Partition coefficient
  • Solubility

ASJC Scopus subject areas

  • Clinical Biochemistry
  • Pharmacology
  • Medicine(all)

Cite this

Predicting aqueous solubility : The role of crystallinity. / Chu, Katherine A.; Yalkowsky, Samuel H.

In: Current Drug Metabolism, Vol. 10, No. 10, 2009, p. 1184-1191.

Research output: Contribution to journalArticle

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