Unravelling free volume in branched-cation ionic liquids based on silicon

Eduards Baķis (Corresponding Author), Kateryna Goloviznina, Inês C.M. Vaz, Diana Sloboda, Daniels Hazens, Valda Valkovska, Igors Klimenkovs, Agilio Padua, Margarida Costa Gomes (Corresponding Author)

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)
11 Downloads (Pure)

Abstract

The branching of ionic liquid cation sidechains utilizing silicon as the backbone was explored and it was found that this structural feature leads to fluids with remarkably low density and viscosity. The relatively low liquid densities suggest a large free volume in these liquids. Argon solubility was measured using a precise saturation method to probe the relative free volumes. Argon molar solubilities were slightly higher in ionic liquids with alkylsilane and siloxane groups within the cation, compared to carbon-based branched groups. The anion size, however, showed by far the dominant effect on argon solubility. Thermodynamic solvation parameters were derived from the solubility data and the argon solvation environment was modelled utilizing the polarizable CL&Pol force field. Semiquantitative analysis was in agreement with trends established from the experimental data. The results of this investigation demonstrate design principles for targeted ionic liquids when optimisation for the free volume is required, and demonstrate the utility of argon as a simple, noninteracting probe. As more ionic liquids find their way into industrial processes of scale, these findings are important for their utilisation in the capture of any gaseous solute, gas separation, or in processes involving the transformation of gases or small molecules.

Original languageEnglish
Pages (from-to)9062-9073
Number of pages12
JournalChemical Science
Volume13
Issue number31
DOIs
Publication statusPublished - 5 Jul 2022
Externally publishedYes

Field of Science*

  • 1.4 Chemical sciences

Publication Type*

  • 1.1. Scientific article indexed in Web of Science and/or Scopus database

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