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: | N6387 | |
|---|---|---|
| Name: | acetophenone, trimethyl(hexyl)ammonium bis(trifluoromethylsulfonyl)imide | |
| Description: | acetophenone [HexM3Am]+[Tf2N]- | |
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C9H22N.C8H8O.C2F6NO4S2/c1-5-6-7-8-9-10(2,3)4;1-7(9)8-5-3-2-4-6-8;3-1(4,5)14(10,11)9-15(12,13)2(6,7)8/h5-9H2,1-4H3;2-6H,1H3;/q+1;;-1 |
Properties
logK: Gas-ionic liquid partition coefficient
| Value | Source or prediction |
|---|---|
| 5.121045936424685 |
experimental value |
| 5.260108833439517 |
MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR training predictions) |
| 5.136493672152961 |
RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF training predictions) |