Mapping and Multivariate Analysis for a Rapid Evaluation of New Green Solvents Characteristics and Efficiency

Abstract

Current regulations require the substitution of toxic solvents by safer ones. Succinic acid diesters, which are among promising bio-based candidates, have been compared to petrochemical solvents through two complementary approaches. The first one deals with a prediction of solvents dissolution power based on Hansen Solubility Parameters (HSP). HSP values obtained with the model developed by Stefanis-Panayiotou showed good agreement with experimental miscibility maps. The second one explores the physicochemical properties with multivariate statistical methods. Principal Components Analysis and Agglomerative Hierarchical Clustering led to a partition of green solvents into clusters together with toxic solvents, suggesting favourable substitutions in further applications.

Keywords:

• Green solvents
• Hansen Solubility Parameters
• multivariate statistical analysis
• solvent substitution

Acknowledgments

The authors would like to thank Dr. Charles M. Hansen and Pr. Steven Abbott, as well as Pr. Costas Panayiotou and Dr. Emmanuel Stefanis from the Aristotle University of Thessaloniki, for their very helpful advice.

This study was carried out in the framework of the Agrosolvant project managed by Agro Industrie Recherches et Développements (ARD, France), accredited by the global-scale cluster Industries et Agro Ressources (IAR) and supported by FUI (Fonds Unique Interministériel), Région Picardie and Région Champagne Ardennes.

Notes

From the Proceedings from Formula VI in Stockholm 2010.