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: | N103 | |
|---|---|---|
| Name: | propane, 1-hexyl-3-methylimidazolium tris(pentafluoroethyl)trifluorophosphate | |
| Description: | propane [HMIm]+[FAP]- | |
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C10H19N2.C6F18P.C3H8/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;1-3-2/h8-10H,3-7H2,1-2H3;;3H2,1-2H3/q+1;-1; |
Properties
logK: Gas-ionic liquid partition coefficient
| Value | Source or prediction |
|---|---|
| 0.513 |
experimental value |
| 1.069078709627382 |
MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR training predictions) |
| 0.4042400000000003 |
RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF training predictions) |