Abstract
Poor aqueous solubility of drugs is still a challenging aspect in drug discovery and development. Solubilization techniques such as cosolvency and complexation are used to solubilize poorly soluble drugs. A number of mathematical models presented for predicting the solubility of drugs in water+cosolvent mixtures and the Jouyban-Acree model promises more accuracy when compared with other algorithms. Methods: Solubility of sodium phenytoin in binary mixtures of propylene glycol + water in the presence of beta-cyclodextrin (b-CD) along with the solubility of sodium phenytoin in this solvent mixture in the absence of b-CD using saturating shake flask method were studied. The generated solubility data was fitted to the Jouyban-Acree model and the solubility profile of drug in the presence of b-CD was compared with solubility data in the absence of b-CD. Results: The solubility was increased by addition of propylene glycol and was decreased by addition of beta-cyclodextrin. The measured solubility data were used to evaluate the correlation ability of the Jouyban-Acree model employing the solubility data in monosolvent. These findings are supported by acceptable mean relative deviations values obtained when comparing the estimated and experimental solubilities. Conclusion: The addition of b-CD was decreased the solubilization power of propylene glycol.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.