Solvent-mediated molar conductivity of protic ionic liquids

文献情報

出版日 2014-11-05

DOI 10.1039/C4CP04591B

インパクトファクター 3.676

著者

Sachin Thawarkar, Nageshwar D. Khupse, Anil Kumar

原文を見る

要旨

The molar conductivity, Λm, of protic ionic liquids (PILs) in molecular solvents is measured at 298.15 K. The decrease in the Λm values of PILs is observed with an increase in the concentration of PILs. The limiting molar conductivities, Λ0m, were obtained for each PIL in different molecular solvents using a least squares method. The Λ0m data for PILs were correlated with the structural aspects of PILs and solvent properties. The polar protic solvents show poor ionic association as compared to the polar aprotic solvents, which is discussed on the basis of the hydrogen bond donating (HBD) ability of solvents and PILs. The alkyl chain substitution of anions plays a significant role in the ionic association of the PILs. The diffusion coefficient D0 and the transport number t were determined, which were consistent with the Λ0m values of PILs in water. The Λ0m and D0 values are dependent on the hydrodynamic radius of anions of these ionic liquids. The extent of ionic association for each PIL was discussed using temperature dependent Λm data for aqueous PIL systems in terms of the Walden plot.

掲載誌

Physical Chemistry Chemical Physics

CiteScore: 5.5

自己引用率: 10.3%

年間論文数: 3036

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.