What is it about?

Multivariate data-driven approaches taking into account the simultaneous variation of both anionic and cationic counterparts of ILs turn out to be suitable to predict ILs toxicities as well as physico-chemical properties by means of Partial Least Squares (PLS) modelling.

Featured Image

Why is it important?

The expanding applications of Ionic Liquids (ILs) urge the need to combine their efficiency with their environmental and economic sustainability. Experimental investigations can explore only a tiny portion of the enormous chemical space covered by ILs cations and anions combinations. Experimental design allows to explore a wider experimental space.

Perspectives

The proposed descriptors may turn out to be suitable to predict many other toxicity and physico-chemical properties of ionic liquids

Professor Giuseppe Musumarra
Universita degli Studi di Catania

Read the Original

This page is a summary of: Smart Design of Sustainable and Efficient ILs, September 2017, Royal Society of Chemistry,
DOI: 10.1039/9781788011839-00168.
You can read the full text:

Read

Contributors

The following have contributed to this page