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: | N267 | |
|---|---|---|
| Name: | nonane, 1-propyl-2,3-dimethylimidazolium tetrafluoroborate | |
| Description: | nonane [PM2Im]+[BF4]- | |
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C9H20.C8H15N2.BF4/c1-3-5-7-9-8-6-4-2;1-4-5-10-7-6-9(3)8(10)2;2-1(3,4)5/h3-9H2,1-2H3;6-7H,4-5H2,1-3H3;/q;+1;-1 |
Properties
logK: Gas-ionic liquid partition coefficient
| Value | Source or prediction |
|---|---|
| 0.96 |
experimental value |
| 2.154070804101504 |
MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR training predictions) |
| 1.157417493254349 |
RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF training predictions) |