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: | N6499 | |
|---|---|---|
| Name: | naphthalene, 1-butyl-3-methylimidazolium octylsulfate | |
| Description: | naphthalene [MBIm]+[OtSO4]- | |
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C10H8.C8H15N2.C8H18O4S/c1-2-6-10-8-4-3-7-9(10)5-1;1-3-4-5-10-7-6-9(2)8-10;1-2-3-4-5-6-7-8-12-13(9,10)11/h1-8H;6-8H,3-5H2,1-2H3;2-8H2,1H3,(H,9,10,11)/q;+1;/p-1 |
Properties
logK: Gas-ionic liquid partition coefficient
| Value | Source or prediction |
|---|---|
| 5.575 |
experimental value |
| 5.559282387396328 |
MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR training predictions) |
| 5.523455549938258 |
RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF training predictions) |