Artículo

High throughput method to characterize acid-base properties of insoluble drug candidates in water

Benito, Damián Ezequiel Icon; Acquaviva, Agustín Icon; Castells, Cecilia Beatriz Marta Icon; Gagliardi, Leonardo Gabriel Icon

Otros responsables

Fecha

05/2018

Editorial

Elsevier Science

Revista

Journal of Pharmaceutical and Biomedical Analysis

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Institución organizadora

ISSN

0731-7085

eISSN

ISBN

Idioma

Inglés

Tipo del evento

Clasificación temática

Resumen

In drug design experimental characterization of acidic groups in candidate molecules is one of the more important steps prior to the in-vivo studies. Potentiometry combined with Yasuda-Shedlovsky extrapolation is one of the more important strategy to study drug candidates with low solubility in water, although, it requires a large number of sequences to determine pKa values at different solvent-mixture compositions to, finally, obtain the pKa in water (pwwKa) by extrapolation. We have recently proposed a method which requires only two sequences of additions to study the effect of organic solvent content in liquid chromatography mobile phases on the acidity of the buffer compounds usually dissolved in it along wide ranges of compositions. In this work we propose to apply this method to study thermodynamic pwwKa of drug candidates with low solubilities in pure water. Using methanol/water solvent mixtures we study six pharmaceutical drugs at 25 °C. Four of them: ibuprofen, salicylic acid, atenolol and labetalol, were chosen as members of carboxylic, amine and phenol families, respectively. Since these compounds have known pwwKa values, they were used to validate the procedure, the accuracy of Yasuda-Shedlovsky and other empirical models to fit the behaviors, and to obtain pwwKa by extrapolation. Finally, the method is applied to determine unknown thermodynamic pwwKa values of two pharmaceutical drugs: atorvastatin calcium and the two dissociation constants of ethambutol. The procedure proved to be simple, very fast and accurate in all of the studied cases.

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