Application of a new statistical mechanical model for calculating Kirkwood factors in self associating liquid systems to alkanol + CCl4 mixtures

Literature Information

Publication Date 2009-02-13
DOI 10.1039/B818532H
Impact Factor 3.676
Authors

Tatiana Vasiltsova, Andreas Heintz, Holger Nadolny, Hermann Weingärtner


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Abstract

A recently developed statistical–mechanical model for calculating Kirkwood correlation factors gK in self associating liquids and liquid mixtures has been applied for the simultaneous description of gK derived from dielectric constant data, the molar enthalpy of mixing HEm, and the infrared absorbtion of monomeric alcoholic species as function of the composition in alkanol + CCl4 mixtures. The alkanols are methanol, ethanol, propanol, butan-1-ol, pentan-1-ol, hexan-1-ol, octan-1-ol, sec-butanol, tert-butanol and pentan-3-ol. The majority of parameters involved in the theory are obtained by independent quantum mechanical ab initio calculations of molecular clusters consisting of up to four alcohol molecules. As a consequence only two parameters have to be adjusted freely to each binary system, a third parameter responsible for the non-specific intermolecular dispersion interaction has been adjusted within a limited range of possible values given by physical arguments. Excellent agreement between theory and experimental data for gK, HEm and IR absorbance is obtained covering the whole range of concentration. The theory also rationalizes the temperature dependence of these properties without adjusting further parameters. The Kirkwood correlation factor gK turns out to be a sensitive response to peculiarities of the molecular structure of hydrogen-bonded systems in the condensed liquid state.

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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics
CiteScore: 5.5
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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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