10967/266 - QDB Compounds

QsarDB Repository

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:N1560
Name:nonane, 1-​(methylethylether)​-​3-​methylimidazolium bis(trifluoromethylsulfonyl)imide
Description:nonane [MeoeMIm]+[Tf2N]-
Labels:
CAS:
InChi Code:InChI=1S/C9H20.C7H13N2O.C2F6NO4S2/c1-3-5-7-9-8-6-4-2;1-8-3-4-9(7-8)5-6-10-2;3-1(4,5)14(10,11)9-15(12,13)2(6,7)8/h3-9H2,1-2H3;3-4,7H,5-6H2,1-2H3;/q;+1;-1

Properties

logK: Gas-ionic liquid partition coefficient

ValueSource or prediction
2.00568158977832

experimental value

2.042720180836515

MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR training predictions)

2.025208620158042

RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF training predictions)