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:	N794
	Name:	1-heptene, 1-ethyl-3-methylimidazolium triflate
	Description:	1-heptene [MEIm]+[CF3SO3]-
	Labels:
	CAS:
	InChi Code:	InChI=1S/C7H14.C6H11N2.CHF3O3S/c1-3-5-7-6-4-2;1-3-8-5-4-7(2)6-8;2-1(3,4)8(5,6)7/h3H,1,4-7H2,2H3;4-6H,3H2,1-2H3;(H,5,6,7)/q;+1;/p-1

Properties

logK: Gas-ionic liquid partition coefficient

Value	Source or prediction
1.542	experimental value
1.59107310240248	MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR training predictions)
1.53699	RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF training predictions)