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: | N3567 | |
|---|---|---|
| Name: | acetonitrile, 1-propyl-2,3-dimethylimidazolium tetrafluoroborate | |
| Description: | acetonitrile [PM2Im]+[BF4]- | |
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C8H15N2.C2H3N.BF4/c1-4-5-10-7-6-9(3)8(10)2;1-2-3;2-1(3,4)5/h6-7H,4-5H2,1-3H3;1H3;/q+1;;-1 |
Properties
logK: Gas-ionic liquid partition coefficient
| Value | Source or prediction |
|---|---|
| 2.89 |
experimental value |
| 2.897660869047217 |
MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR training predictions) |
| 3.015951719370543 |
RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF training predictions) |