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:	N2209
	Name:	1-octene, n-butyl-n-methylpiperidinium bis(trifluoromethylsulfonyl)imide
	Description:	1-octene [BMPip]+[(Tf)2N]-
	Labels:
	CAS:
	InChi Code:	InChI=1S/C10H22N.C8H16.C2F6NO4S2/c1-3-4-8-11(2)9-6-5-7-10-11;1-3-5-7-8-6-4-2;3-1(4,5)14(10,11)9-15(12,13)2(6,7)8/h3-10H2,1-2H3;3H,1,4-8H2,2H3;/q+1;;-1

Properties

logK: Gas-ionic liquid partition coefficient

Value	Source or prediction
2.346	experimental value
2.299733031922126	MLR: Multiple Linear Regression QSAR model for the gas-ionic liquid partition coefficient of organic solutes (MLR training predictions)
2.364708236741981	RF: Random Forest Regression QSAR model for gas-ionic liquid partition coefficient of organic solutes (RF training predictions)