Abstract
The experimental solubility data of various sulfonamides in the binary solvent systems at various temperatures are collected from the literature and fitted to Jouyban-Acree model as an accurate cosolvency model for providing solubility prediction tools. In order to obtain predictive cosolvency models, the Jouyban-Acree model is combined with physicochemical parameters of the Abraham solvation parameters and the Hansen solubility parameters. Based on these computations, the generally trained versions of the combined models are proposed which enable one to predict the solubility of sulfonamides in the binary solvent mixtures at various temperatures with reasonable error levels.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: 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.
