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: | N2427 | |
|---|---|---|
| Name: | nonane, 1,3,4,6,7,8-hexahydro-1-methyl-2h-pyrimido[1,2-a]pyrimidine bis(pentafluoroethylsulfonyl)imide | |
| Description: | nonane [MTBDH]+[BETI]- | |
| Labels: | ||
| CAS: | ||
| InChi Code: | InChI=1S/C9H20.C8H16N3.C4F10NO4S2/c1-3-5-7-9-8-6-4-2;1-10-5-3-7-11-6-2-4-9-8(10)11;5-1(6,7)3(11,12)20(16,17)15-21(18,19)4(13,14)2(8,9)10/h3-9H2,1-2H3;9H,2-7H2,1H3;/q;+1;-1 |
Properties
logK: Gas-ionic liquid partition coefficient
| Value | Source or prediction |
|---|---|
| 2.458197980665847 |
experimental value |
| 2.342045854504393 |
MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR training predictions) |
| 2.49691196914539 |
RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF training predictions) |