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: | N6175 | |
|---|---|---|
| Name: | 1,4-dioxane, 1-(2-hydroxyethyl)-3-methylimidazolium tris(pentafluoroethyl)trifluorophosphate | |
| Description: | 1,4-dioxane [ETOHMIm]+[FAP]- | |
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C6F18P.C6H11N2O.C4H8O2/c7-1(8,9)4(16,17)25(22,23,24,5(18,19)2(10,11)12)6(20,21)3(13,14)15;1-7-2-3-8(6-7)4-5-9;1-2-6-4-3-5-1/h;2-3,6,9H,4-5H2,1H3;1-4H2/q-1;+1; |
Properties
logK: Gas-ionic liquid partition coefficient
| Value | Source or prediction |
|---|---|
| 4.239 |
experimental value |
| 3.006487845956346 |
MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR training predictions) |
| 4.084839354918978 |
RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF training predictions) |