Literature DB >> 34112852

Diffusion in multicomponent aqueous alcoholic mixtures.

Gabriela Guevara-Carrion1, Robin Fingerhut1, Jadran Vrabec2.   

Abstract

The Fick diffusion coefficient matrix of the highly associating quaternary mixture water + methanol + ethanol + 2-propanol as well as its ternary and binary subsystems is analyzed with molecular dynamics simulation techniques. Three of the ternary subsystems are studied in this sense for the first time. The predictive capability of the employed force fields, which were sampled with the Green-Kubo formalism and Kirkwood-Buff integration, is confirmed by comparison with experimental literature data on vapor-liquid equilibrium, shear viscosity and Fick diffusion coefficient, wherever possible. A thorough analysis of the finite size effects on the simulative calculation of diffusion coefficients of multicomponent systems is carried out. Moreover, the dependence of the Fick diffusion coefficient matrix on the velocity reference frame and component order is analyzed. Their influence is found to be less significant for the main matrix elements, reaching a maximum variation of 19%. The large differences found for the cross elements upon variation of the reference frame hinder a straightforward interpretation of the Fick diffusion coefficient matrix with respect to the presence of diffusive coupling effects.

Entities:  

Year:  2021        PMID: 34112852     DOI: 10.1038/s41598-021-91727-w

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  22 in total

1.  Computational model of interstitial transport in the spinal cord using diffusion tensor imaging.

Authors:  Malisa Sarntinoranont; Xiaoming Chen; Jianbing Zhao; Thomas H Mareci
Journal:  Ann Biomed Eng       Date:  2006-07-11       Impact factor: 3.934

Review 2.  Uphill diffusion in multicomponent mixtures.

Authors:  Rajamani Krishna
Journal:  Chem Soc Rev       Date:  2015-03-12       Impact factor: 54.564

3.  Multicomponent diffusion coefficients from microfluidics using Raman microspectroscopy.

Authors:  Christine Peters; Ludger Wolff; Sandra Haase; Julia Thien; Thorsten Brands; Hans-Jürgen Koß; André Bardow
Journal:  Lab Chip       Date:  2017-08-08       Impact factor: 6.799

4.  A predictive model for the diffusion of a highly non-ideal ternary system.

Authors:  Tariq Allie-Ebrahim; Vincenzo Russo; Ornella Ortona; Luigi Paduano; Riccardo Tesser; Martino Di Serio; Pranav Singh; Qingyu Zhu; Geoff D Moggridge; Carmine D'Agostino
Journal:  Phys Chem Chem Phys       Date:  2018-07-11       Impact factor: 3.676

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

Authors:  Stanislav Parez; Gabriela Guevara-Carrion; Hans Hasse; Jadran Vrabec
Journal:  Phys Chem Chem Phys       Date:  2013-03-21       Impact factor: 3.676

6.  Molecular Insight into the Liquid Propan-2-ol + Water Mixture.

Authors:  Y Mauricio Muñoz-Muñoz; Gabriela Guevara-Carrion; Jadran Vrabec
Journal:  J Phys Chem B       Date:  2018-09-05       Impact factor: 2.991

7.  Mutual diffusion of binary liquid mixtures containing methanol, ethanol, acetone, benzene, cyclohexane, toluene, and carbon tetrachloride.

Authors:  Gabriela Guevara-Carrion; Tatjana Janzen; Y Mauricio Muñoz-Muñoz; Jadran Vrabec
Journal:  J Chem Phys       Date:  2016-03-28       Impact factor: 3.488

8.  Fick Diffusion Coefficient Matrix of a Quaternary Liquid Mixture by Molecular Dynamics.

Authors:  Gabriela Guevara-Carrion; Robin Fingerhut; Jadran Vrabec
Journal:  J Phys Chem B       Date:  2020-04-06       Impact factor: 2.991

9.  Do ternary liquid mixtures exhibit negative main Fick diffusion coefficients?

Authors:  S Kozlova; A Mialdun; I Ryzhkov; T Janzen; J Vrabec; V Shevtsova
Journal:  Phys Chem Chem Phys       Date:  2019-01-23       Impact factor: 3.676

10.  Diffusion in Multicomponent Liquids: From Microscopic to Macroscopic Scales.

Authors:  G Guevara-Carrion; Y Gaponenko; T Janzen; J Vrabec; V Shevtsova
Journal:  J Phys Chem B       Date:  2016-11-21       Impact factor: 2.991

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