Application of machine learning techniques to the modeling of solubility of sugar alcohols in ionic liquids.

ABSTRACT: The current trend of chemical industries demands green processing, in particular with employing natural substances such as sugar-derived compounds. This matter has encouraged academic and industrial sections to seek new alternatives for extracting these materials. Ionic liquids (ILs) are currently paving the way for efficient extraction processes. To this end, accurate estimation of solubility data is of great importance. This study relies on machine learning methods for modeling the solubility data of sugar alcohols (SAs) in ILs. An initial relevancy analysis approved that the SA-IL equilibrium governs by the temperature, density and molecular weight of ILs, as well as the molecular weight, fusion temperature, and fusion enthalpy of SAs. Also, temperature and fusion temperature have the s

SUBMITTER: Bakhtyari A 

PROVIDER: S-EPMC10374917 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature