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: | N3757 | |
|---|---|---|
| Name: | acetonitrile, methyl(tributyl)ammonium bis(trifluoromethylsulfonyl)imide | |
| Description: | acetonitrile [MB3Am]+[(Tf)2N]- | |
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C13H30N.C2F6NO4S2.C2H3N/c1-5-8-11-14(4,12-9-6-2)13-10-7-3;3-1(4,5)14(10,11)9-15(12,13)2(6,7)8;1-2-3/h5-13H2,1-4H3;;1H3/q+1;-1; |
Properties
logK: Gas-ionic liquid partition coefficient
| Value | Source or prediction |
|---|---|
| 2.956463236183223 |
experimental value |
| 3.158824126658732 |
MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR training predictions) |
| 3.003300429336151 |
RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF training predictions) |