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: | N3022 | |
|---|---|---|
| Name: | 1-octyne, 1-ethyl-3-methylimidazolium triflate | |
| Description: | 1-octyne [MEIm]+[CF3SO3]- | |
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C8H14.C6H11N2.CHF3O3S/c1-3-5-7-8-6-4-2;1-3-8-5-4-7(2)6-8;2-1(3,4)8(5,6)7/h1H,4-8H2,2H3;4-6H,3H2,1-2H3;(H,5,6,7)/q;+1;/p-1 |
Properties
logK: Gas-ionic liquid partition coefficient
| Value | Source or prediction |
|---|---|
| 2.7061 |
experimental value |
| 2.522319587090787 |
MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR training predictions) |
| 2.584850249051746 |
RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF training predictions) |