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: | N6442 | |
|---|---|---|
| Name: | 2-chloroaniline, 1-(2-hydroxyethyl)-3-methylimidazolium bis(trifluoromethylsulfonyl)imide | |
| Description: | 2-chloroaniline [EtOHMIM]+[Tf2N]- | |
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C6H6ClN.C6H11N2O.C2F6NO4S2/c7-5-3-1-2-4-6(5)8;1-7-2-3-8(6-7)4-5-9;3-1(4,5)14(10,11)9-15(12,13)2(6,7)8/h1-4H,8H2;2-3,6,9H,4-5H2,1H3;/q;+1;-1 |
Properties
logK: Gas-ionic liquid partition coefficient
| Value | Source or prediction |
|---|---|
| 5.366907655134291 |
experimental value |
| 4.73625428910344 |
MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR training predictions) |
| 5.386064961085197 |
RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF training predictions) |