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: | N3515 | |
|---|---|---|
| Name: | acetonitrile, 1,3-didecyl-2-methylimidazolium bis(trifluoromethylsulfonyl)imide | |
| Description: | acetonitrile [D2MIm]+[(Tf)2N]- | |
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C24H47N2.C2F6NO4S2.C2H3N/c1-4-6-8-10-12-14-16-18-20-25-22-23-26(24(25)3)21-19-17-15-13-11-9-7-5-2;3-1(4,5)14(10,11)9-15(12,13)2(6,7)8;1-2-3/h22-23H,4-21H2,1-3H3;;1H3/q+1;-1; |
Properties
logK: Gas-ionic liquid partition coefficient
| Value | Source or prediction |
|---|---|
| 2.874927023474929 |
experimental value |
| 3.200508511786734 |
MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR training predictions) |
| 2.851631786512406 |
RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF training predictions) |