0604404 - FZÚ 2026 RIV US eng J - Journal Article
Otta, Jaroslav - Mikuláštík, J. - Šípka, R. - Stein, M. - Kühne, Irina A. - Vrňata, M. - Vlček, Jan
Fullerene-doped poly(ionic liquids) as small molecular gas sensors─control of intermolecular interactions.
ACS Omega. Roč. 10, č. 1 (2025), s. 1364-1372. ISSN 2470-1343. E-ISSN 2470-1343
R&D Projects: GA MŠMT(CZ) EH22_008/0004596; GA ČR(CZ) GA23-05878S; GA MŠMT(CZ) EF16_019/0000760
Institutional support: RVO:68378271
Keywords : polymer ionic liquids * sensor * fullerene
OECD category: Physical chemistry
Impact factor: 3.7, year: 2023 ; AIS: 0.639, rok: 2023
Method of publishing: Open access
DOI: https://doi.org/10.1021/acsomega.4c08941

Here, we investigate the interactions between five representative gaseous analytes and two poly(ionic liquids) (PILs) based on the sulfopropyl acrylate polyanion in combination with the alkylphosphonium cations, P4,4,4,4 and P4,4,4,8, and their nanocomposites with fullerenes (C60, C70) to reveal the potential of PILs as sensitive layers for gas sensors. The gaseous analytes were chosen based on their molecular size (all of them containing two carbon atoms) and variation of functional groups: alcohol (ethanol), nitrile (acetonitrile), aldehyde (acetaldehyde), halogenated alkane (bromoethane), and carboxylic acid (acetic acid). The six variations of PILs-P4,4,4,4SPA (1), P4,4,4,4SPA + C60 (1 + C60), P4,4,4,4SPA + C70 (1 + C70), and P4,4,4,8SPA (2), P4,4,4,8SPA + C60 (2 + C60), P4,4,4,8SPA + C70 (2 + C70)-were characterized by UV−vis and Raman spectroscopy, and their interactions with each gaseous analyte were studied using electrochemical impedance spectroscopy. Exposure of all PIL samples to acetaldehyde, bromoethane, and ethanol leads to a decrease in the diffusion coefficient, while exposure to acetic acid reveals an increase. Fullerene-doping significantly enhances the response to the analyte. Semiempirical quantum mechanical xTB-GFN2 calculations revealed that hydrogen bonding and proton transfer events play an important role during the detection process.
Permanent Link: https://hdl.handle.net/11104/0361803


 
Scientific data in ASEP :
Dataset-PILs-Sensors ACS-Omega