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: | N3451 | |
|---|---|---|
| Name: | methyl propanoate, tetraoctylphosphonium bis(trifluoromethylsulfonyl)imide | |
| Description: | methyl propanoate [O4P]+[(Tf)2N]- | |
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C32H68P.C4H8O2.C2F6NO4S2/c1-5-9-13-17-21-25-29-33(30-26-22-18-14-10-6-2,31-27-23-19-15-11-7-3)32-28-24-20-16-12-8-4;1-3-4(5)6-2;3-1(4,5)14(10,11)9-15(12,13)2(6,7)8/h5-32H2,1-4H3;3H2,1-2H3;/q+1;;-1 |
Properties
logK: Gas-ionic liquid partition coefficient
| Value | Source or prediction |
|---|---|
| 2.852003894070483 |
experimental value |
| 2.964292235020782 |
MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR holdout predictions) |
| 2.801347529054778 |
RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF holdout predictions) |