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: | N5913 | |
|---|---|---|
| Name: | 1-chlorooctane, n-propyl-n-methylpiperidinium bis(trifluoromethylsulfonyl)imide | |
| Description: | 1-chlorooctane [PMPip]+[(Tf)2N]- | |
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C9H20N.C8H17Cl.C2F6NO4S2/c1-3-7-10(2)8-5-4-6-9-10;1-2-3-4-5-6-7-8-9;3-1(4,5)14(10,11)9-15(12,13)2(6,7)8/h3-9H2,1-2H3;2-8H2,1H3;/q+1;;-1 |
Properties
logK: Gas-ionic liquid partition coefficient
| Value | Source or prediction |
|---|---|
| 3.892098280635107 |
experimental value |
| 3.602246068771204 |
MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR training predictions) |
| 3.864371924457692 |
RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF training predictions) |