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: | N2024 | |
|---|---|---|
| Name: | nonane, 1-hexyl-3-methylimidazolium hexafluorophosphate | |
| Description: | nonane [MHIm]+[PF6]- | |
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C10H19N2.C9H20.F6P/c1-3-4-5-6-7-12-9-8-11(2)10-12;1-3-5-7-9-8-6-4-2;1-7(2,3,4,5)6/h8-10H,3-7H2,1-2H3;3-9H2,1-2H3;/q+1;;-1 |
Properties
logK: Gas-ionic liquid partition coefficient
| Value | Source or prediction |
|---|---|
| 2.252 |
experimental value |
| 2.079266319995885 |
MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR training predictions) |
| 2.296964094680783 |
RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF training predictions) |