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Ionic liquids (ILs) are used in various fields of chemistry. One of them is CO 2 capture, a process that is quite well described. The solubility of CO 2 in ILs can be used as a model to investigate gas absorption processes. The aim is to find the relationships between the solubility of CO 2 and other variables-physicochemical properties and parameters related to greenness. In this study, 12 variables are used to describe a dataset consisting of 26 ILs and 16 molecular solvents. We used a cluster analysis, a principal component analysis, and a K-means hierarchical clustering to find the patterns in the dataset and the discriminators between the clusters of compounds. The results showed that ILs and molecular solvents form two well-separated groups, and the variables were well separated into greenness-related and physicochemical properties. Such patterns suggest that the modeling of greenness properties and of the solubility of CO 2 on physicochemical properties can be difficult.

Searching for Solvents with an Increased Carbon Dioxide Solubility Using Multivariate Statistics