• Presents a comprehensive database of solubility for pharmaceuticals in organic solvents and binary solvent mixtures
• Includes a summary of numerous numerical methods to predict the solubility in mono and mixed solvents
• Provides the model constants of the Jouyban–Acree model for each solute in binary solvents at various temperatures to predict unmeasured solubilities
• Offers user-friendly software to predict the solubility of drugs in mono and mixed solvents on the author’s website

Hand Book of Solubility Data for Pharmaceuticals

Abolghasem Jouyban

CRC Press, Taylor & Francis Group.  2010

Summary

Aqueous solubility is one of the major challenges in the early stages of drug discovery. One of the most common and effective methods for enhancing solubility is the addition of an organic solvent to the aqueous solution. Along with an introduction to cosolvency models, the Handbook of Solubility Data for Pharmaceuticals provides an extensive database of solubility for pharmaceuticals in mono solvents and binary solvents. Aqueous solubility data can be found in the Handbook of Aqueous Solubility Data by Samuel Yalkowsky and Yan He. Visit www.crcpress.com for more information.

In addition to the experimental efforts to measure the solubility of drugs in mono and mixed solvents, this book discusses the advantages and limitations of a number of mathematical models used to predict the solubility in mono or mixed solvent systems. It covers the pharmaceutical cosolvents and other organic solvents that are used in syntheses, separations, and other pharmaceutical processes. The solutes featured include the available data for official drugs, drug candidates, precursors of drugs, metabolites, and degradation products of pharmaceuticals. The author also presents the solubilities of amino acids since they play an important role in peptide drug properties.

Collecting drug solubilities in various cosolvents, this time-saving handbook includes the mixtures and model constants needed to predict undetermined solubilities. It describes mathematical models that enable data to be derived and provides estimates on how drugs are likely to behave in a given cosolvent. A software program and associated user manual are available on the author’s website.