Unknown

Dataset Information

Molecular insights on the solvent screening for the benzene extraction from fuels using ionic liquids via QSPR method.


ABSTRACT: Benzene separation from hydrocarbon mixtures is a challenge in the refining and petrochemical industries. The application of liquid-liquid extraction process using ionic liquids (I.Ls) is an option for this separation. The selection of the most appropriate I.L. for this application is a challenging task due to the variety of anion and cation structures. In the current study, the benzene distribution between the aliphatic hydrocarbon-rich and I.L.-rich phases has been evaluated using the Quantitative Structure-Property Relationship (QSPR) method. A dataset comprising of 112 ternary systems (namely, I.L., benzene, and aliphatic hydrocarbon) was compiled after an extensive review of literature. The primary dataset consists of 17 anions, 20 cations, and 12 aliphatic hydrocarbons. Therefore, th

SUBMITTER: Amereh M 

PROVIDER: S-EPMC11680586 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature