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: | N6164 | |
|---|---|---|
| Name: | acetic acid, n-butyl-n-methylpyrrolidinium tetracyanoborate | |
| Description: | acetic acid [BMPyrr]+[B(CN)4]- | |
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C9H20N.C4BN4.C2H4O2/c1-3-4-7-10(2)8-5-6-9-10;6-1-5(2-7,3-8)4-9;1-2(3)4/h3-9H2,1-2H3;;1H3,(H,3,4)/q+1;-1; |
Properties
logK: Gas-ionic liquid partition coefficient
| Value | Source or prediction |
|---|---|
| 4.217737317767766 |
experimental value |
| 3.169017358501861 |
MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR training predictions) |
| 4.372032362931199 |
RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF training predictions) |