Multivariate Statistical Evaluation of Ionic Liquids Features for CO2 Capture

The main goal of this work is to verify the possibility of the improving the process variables in CO2 capture process using ionic liquids as sorbent, by changing the anions and/or cation type of the Ionic liquids. ANOVA models a PCA were performed for CO2 capture capacity, viscosity, melting degradation temperature and chemical information of the ionic liquids. The results shows that tunning of ionic liquids are statistically significant and the resultants insights could be used to predict new sorbents.