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: | N5597 | |
|---|---|---|
| Name: | pyridine, 1,3-didecyl-2-methylimidazolium bis(trifluoromethylsulfonyl)imide | |
| Description: | pyridine [D2MIm]+[(Tf)2N]- | |
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C24H47N2.C5H5N.C2F6NO4S2/c1-4-6-8-10-12-14-16-18-20-25-22-23-26(24(25)3)21-19-17-15-13-11-9-7-5-2;1-2-4-6-5-3-1;3-1(4,5)14(10,11)9-15(12,13)2(6,7)8/h22-23H,4-21H2,1-3H3;1-5H;/q+1;;-1 |
Properties
logK: Gas-ionic liquid partition coefficient
| Value | Source or prediction |
|---|---|
| 3.698509560202609 |
experimental value |
| 4.016057963398621 |
MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR training predictions) |
| 3.652881317713855 |
RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF training predictions) |