Separating the contributions of the volume change upon mixing, permittivity contrast and molecular interactions in the excess relative permittivity of liquid mixtures

Literature Information

Publication Date 2015-04-20
DOI 10.1039/C4CP05987E
Impact Factor 3.676
Authors

T. P. Iglesias, João Carlos R. Reis


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Abstract

The excess relative permittivity of binary systems is separated into three parts. The excess molar volume is the basis for estimating the volume-change contribution. It is proposed to evaluate the electrical permittivity of liquid mixtures, which is solely due to the composition and the relative permittivities of pure components, named permittivity contrast contribution, using the classic local field approach in the case of point-dipoles contained in Lorentz's spherical cavities embedded in the corresponding ideal mixture. The effect of molecular interactions is simply estimated by the difference required to make up experimental excess relative permittivities. This analysis has been applied to 16 binary aqueous organic and organic–organic systems and the estimated values for the contribution of molecular interactions provide interesting insights into the molecular arrangement of these liquid mixtures and the suitability of solvents for determining solute dipole moments.

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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
Self-citation Rate: 10.3%
Articles per Year: 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.

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