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: | N6472 | |
|---|---|---|
| Name: | acetophenone, 1-hexyl-3-methylimidazolium tris(pentafluoroethyl)trifluorophosphate | |
| Description: | acetophenone [HMIm]+[FAP]- | |
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C10H19N2.C8H8O.C6F18P/c1-3-4-5-6-7-12-9-8-11(2)10-12;1-7(9)8-5-3-2-4-6-8;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/h8-10H,3-7H2,1-2H3;2-6H,1H3;/q+1;;-1 |
Properties
logK: Gas-ionic liquid partition coefficient
| Value | Source or prediction |
|---|---|
| 5.455891204018369 |
experimental value |
| 5.381186337708931 |
MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR training predictions) |
| 5.435369097029383 |
RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF training predictions) |