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: | N5090 | |
|---|---|---|
| Name: | undecane, 1-hexyl-3-methylimidazolium tris(pentafluoroethyl)trifluorophosphate | |
| Description: | undecane [HMIm]+[FAP]- | |
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C11H24.C10H19N2.C6F18P/c1-3-5-7-9-11-10-8-6-4-2;1-3-4-5-6-7-12-9-8-11(2)10-12;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/h3-11H2,1-2H3;8-10H,3-7H2,1-2H3;/q;+1;-1 |
Properties
logK: Gas-ionic liquid partition coefficient
| Value | Source or prediction |
|---|---|
| 3.454645213076478 |
experimental value |
| 3.158588972439444 |
MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR training predictions) |
| 3.485832803831303 |
RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF training predictions) |