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: | N2160 | |
|---|---|---|
| Name: | trichloromethane, 1-hexyl-3-methylimidazolium tris(pentafluoroethyl)trifluorophosphate | |
| Description: | trichloromethane [HMIm]+[FAP]- | |
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C10H19N2.C6F18P.CHCl3/c1-3-4-5-6-7-12-9-8-11(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;2-1(3)4/h8-10H,3-7H2,1-2H3;;1H/q+1;-1; |
Properties
logK: Gas-ionic liquid partition coefficient
| Value | Source or prediction |
|---|---|
| 2.323922070971797 |
experimental value |
| 2.643257109385744 |
MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR training predictions) |
| 2.481598959360704 |
RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF training predictions) |