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: | N4292 | |
|---|---|---|
| Name: | 1-octyne, 1-octyl-3-methylimidazolium hexafluorophosphate | |
| Description: | 1-octyne [MOIm]+[PF6]- | |
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C12H23N2.C8H14.F6P/c1-3-4-5-6-7-8-9-14-11-10-13(2)12-14;1-3-5-7-8-6-4-2;1-7(2,3,4,5)6/h10-12H,3-9H2,1-2H3;1H,4-8H2,2H3;/q+1;;-1 |
Properties
logK: Gas-ionic liquid partition coefficient
| Value | Source or prediction |
|---|---|
| 3.152 |
experimental value |
| 2.652770933267976 |
MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR training predictions) |
| 3.136225609435275 |
RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF training predictions) |