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: | N90 | |
|---|---|---|
| Name: | heptane, 1-propyl-2,3-dimethylimidazolium tetrafluoroborate | |
| Description: | heptane [PM2Im]+[BF4]- | |
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C8H15N2.C7H16.BF4/c1-4-5-10-7-6-9(3)8(10)2;1-3-5-7-6-4-2;2-1(3,4)5/h6-7H,4-5H2,1-3H3;3-7H2,1-2H3;/q+1;;-1 |
Properties
logK: Gas-ionic liquid partition coefficient
| Value | Source or prediction |
|---|---|
| 0.467 |
experimental value |
| 1.478175730468408 |
MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR training predictions) |
| 0.6145386382290873 |
RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF training predictions) |