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:	N4277
	Name:	acetonitrile, n,n-diethyl-n-methyl-n-(2-methoxyethyl)ammonium bis(trifluoromethylsulfonyl)imide
	Description:	acetonitrile [MeoeE2MAm]+[(Tf)2N]-
	Labels:
	CAS:
	InChi Code:	InChI=1S/C8H20NO.C2F6NO4S2.C2H3N/c1-5-9(3,6-2)7-8-10-4;3-1(4,5)14(10,11)9-15(12,13)2(6,7)8;1-2-3/h5-8H2,1-4H3;;1H3/q+1;-1;

Properties

logK: Gas-ionic liquid partition coefficient

Value	Source or prediction
3.148	experimental value
2.978854672359927	MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR training predictions)
3.137147388648597	RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF training predictions)