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: | N1003 | |
|---|---|---|
| Name: | 2,2,4-trimethylpentane, 1-ethyl-3-methylimidazolium tris(pentafluoroethyl)trifluorophosphate | |
| Description: | 2,2,4-trimethylpentane [EMIm]+[FAP]- | |
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C8H18.C6F18P.C6H11N2/c1-7(2)6-8(3,4)5;7-1(8,9)4(16,17)25(22,23,24,5(18,19)2(10,11)12)6(20,21)3(13,14)15;1-3-8-5-4-7(2)6-8/h7H,6H2,1-5H3;;4-6H,3H2,1-2H3/q;-1;+1 |
Properties
logK: Gas-ionic liquid partition coefficient
| Value | Source or prediction |
|---|---|
| 1.688252933669616 |
experimental value |
| 1.518453054676002 |
MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR training predictions) |
| 1.673190350954898 |
RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF training predictions) |