Toots, K. M.; Sild, S.; Leis, J.; Acree, W. E.; Maran, U. A multicomponent QSPR approach to describe and predict gas-ionic liquid distribution of organic solutes using machine learning. J. Mol. Liq. 2025, 436, 128184.
Compound
| ID: | N92 | |
|---|---|---|
| Name: | 2,2,4-trimethylpentane, 1-ethyl-3-methylimidazolium methanesulfonate | |
| Description: | 2,2,4-trimethylpentane [EMIm]+[MeSO3]- | |
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C8H18.C6H11N2.CH4O3S/c1-7(2)6-8(3,4)5;1-3-8-5-4-7(2)6-8;1-5(2,3)4/h7H,6H2,1-5H3;4-6H,3H2,1-2H3;1H3,(H,2,3,4)/q;+1;/p-1 |
Properties
logK: Gas-ionic liquid partition coefficient
| Value | Source or prediction |
|---|---|
| 0.4715942405266365 |
experimental value |
| 1.1098139642596 |
MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR training predictions) |
| 0.5942525190411727 |
RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF training predictions) |