Literature DB >> 23400088

Mutual diffusion in the ternary mixture of water + methanol + ethanol and its binary subsystems.

Stanislav Parez1, Gabriela Guevara-Carrion, Hans Hasse, Jadran Vrabec.   

Abstract

Mutual diffusion is investigated by means of experiment and molecular simulation for liquid mixtures containing water + methanol + ethanol. The Fick diffusion coefficient is measured by Taylor dispersion as a function of composition for all three binary subsystems under ambient conditions. For the aqueous systems, these data compare well with literature values. In the case of methanol + ethanol, experimental measurements of the Fick diffusion coefficient are presented for the first time. The Maxwell-Stefan diffusion coefficient and the thermodynamic factor are predicted for the ternary mixture as well as its binary subsystems by molecular simulation in a consistent manner. The resulting Fick diffusion coefficient is compared to present measurements and that obtained from the classical simulation approach, which requires experimental vapor-liquid equilibrium or excess enthalpy data. Moreover, the self-diffusion coefficients and the shear viscosity are predicted by molecular dynamics and are favorably compared to experimental literature values. The presented ternary diffusion data should facilitate the development of aggregated predictive models for diffusion coefficients of polar and hydrogen-bonding systems.

Entities:  

Year:  2013        PMID: 23400088     DOI: 10.1039/c3cp43785j

Source DB:  PubMed          Journal:  Phys Chem Chem Phys        ISSN: 1463-9076            Impact factor:   3.676


  5 in total

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Authors:  Huanshu Tan; Christian Diddens; Pengyu Lv; J G M Kuerten; Xuehua Zhang; Detlef Lohse
Journal:  Proc Natl Acad Sci U S A       Date:  2016-07-14       Impact factor: 11.205

2.  Finite-Size Effects of Binary Mutual Diffusion Coefficients from Molecular Dynamics.

Authors:  Seyed Hossein Jamali; Ludger Wolff; Tim M Becker; André Bardow; Thijs J H Vlugt; Othonas A Moultos
Journal:  J Chem Theory Comput       Date:  2018-04-30       Impact factor: 6.006

3.  Modeling Diffusive Mixing in Antisolvent Crystallization.

Authors:  Russell Miller; Jan Sefcik; Leo Lue
Journal:  Cryst Growth Des       Date:  2022-03-14       Impact factor: 4.076

4.  Generalized Form for Finite-Size Corrections in Mutual Diffusion Coefficients of Multicomponent Mixtures Obtained from Equilibrium Molecular Dynamics Simulation.

Authors:  Seyed Hossein Jamali; André Bardow; Thijs J H Vlugt; Othonas A Moultos
Journal:  J Chem Theory Comput       Date:  2020-05-08       Impact factor: 6.006

5.  Diffusion in multicomponent aqueous alcoholic mixtures.

Authors:  Gabriela Guevara-Carrion; Robin Fingerhut; Jadran Vrabec
Journal:  Sci Rep       Date:  2021-06-10       Impact factor: 4.379

  5 in total

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