Imidazolium-based co-poly(ionic liquid) membranes for CO2/N2 separation

Unformatted post printThe development of efficient carbon dioxide capture and separation technologies is at the fore front of the priorities in the climate change policies. Poly(ionic liquid)s (PILs) have been emerging as extremely promising materials for the fabrication of membranes for CO2 separation. This work is a step forward to evaluate the performance of PIL-based copolymers in the preparation of membranes for CO2/N2 separation. In particular, imidazolium-based homo and copolymers were synthesized by RAFT co-polymerization of different imidazolium salts and characterized by nuclear magnetic resonance (NMR), differential scanning calorimetry (DSC) and thermogravimetric analysis (TGA) analysis. The membrane forming ability of the synthesized PILs, as well as the influence of different side chain groups (ethyl, pentyl, benzyl and napthyl) at imidazolium ring, were evaluated using the solvent casting technique. In order to improve membrane forming ability and CO2 separation performance, different amounts of free ionic liquid (IL), [C2mim][NTf2], were added into the synthesized homo and copolymers, and PIL–IL composite membranes were prepared. The CO2 and N2 permeation properties of the obtained free standing PIL–IL membranes were measured at 20 ºC and 100 kPa and the results obtained compared through the Robeson plot.K. Vijayakrishna and N. Pothanagandhi thank “International Research Staff Exchange Scheme (IRSES) 7th Framework of European Union People-2012-IRSES” (Project No: 318873), for exchange programme. K. Vijayakrishna also thank DST-SERB, India (Project NO: SR/S1/OC-22/2012) for the financial support. L.C. Tomé is grateful to FCT (Fundação para a Ciência e a Tecnologia) for her Post-doctoral research grant (SFRH/BPD/101793/2014). This work was supported by FCT through the project PTDC/CTM-POL/2676/2014 and R&D units UID/Multi/04551/2013 (GreenIT) and UID/QUI/00100/2013 (CQE). This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 745734