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Tailor-made solvents for pharmaceutical use? Experimental and computational approach for determining solubility in deep eutectic solvents (DES)

Authors :
Henrik Palmelund
Martin P. Andersson
Camilla J. Asgreen
Ben J. Boyd
Jukka Rantanen
Korbinian Löbmann
Source :
International Journal of Pharmaceutics: X, Vol 1, Iss , Pp - (2019)
Publication Year :
2019
Publisher :
Elsevier, 2019.

Abstract

A deep eutectic solvent (DES) is a mixture of two or more chemicals that interact via hydrogen bonding and has a melting point far below that of the individual components. DESs have been proposed as alternative solvents for poorly soluble active pharmaceutical ingredients (API). In this study, the solvation capacities of six deep eutectic solvents were compared to water and three conventional pharmaceutical solvents (PEG 300, ethanol and glycerol) for 11 APIs. The experimentally determined solubilities were compared to computational solubilities predicted by the Conductor-like Screening Model for Real Solvents (COSMO-RS). While the conventional pharmaceutical solvents PEG 300 and ethanol were the best solvents for the majority of the studied APIs, API-DES combinations were identified, which exceeded the API solubility found in the conventional pharmaceutical solvents. Furthermore, it was also possible to obtain high solubilities in the DESs relative to water, suggesting DESs to be potential solvents for poorly water soluble APIs. In addition, the relative increase in solubility found in the experimental data could be well predicted ab initio using COSMO-RS. Hence, COSMO-RS may in the future be used to reduce the experimental screening of potential DESs for a given API. Keywords: Deep eutectic solvents, Pharmaceutical solvents, Excipients, COSMO-RS, Solubility, Drug delivery

Details

Language :
English
ISSN :
25901567
Volume :
1
Issue :
-
Database :
Directory of Open Access Journals
Journal :
International Journal of Pharmaceutics: X
Publication Type :
Academic Journal
Accession number :
edsdoj.720439bf8a1041a9b1dfb2eecf35bdc4
Document Type :
article
Full Text :
https://doi.org/10.1016/j.ijpx.2019.100034