Literature DB >> 20969403

The nonmonotonic concentration dependence of the mean activity coefficient of electrolytes is a result of a balance between solvation and ion-ion correlations.

Julianna Vincze1, Mónika Valiskó, Dezso Boda.   

Abstract

We propose a simple model to explain the nonmonotonic concentration dependence of the mean activity coefficient of simple electrolytes without using any adjustable parameters. The primitive model of electrolytes is used to describe the interaction between ions computed by the adaptive grand canonical Monte Carlo method. For the dielectric constant of the electrolyte, we use experimental concentration dependent values. This is included through a solvation term in our treatment to describe the interaction between ions and water that changes as the dielectric constant changes with concentration. This term is computed by a Born-treatment fitted to experimental hydration energies. Our results for LiCl, NaCl, KCl, CsCl, NaBr, NaI, MgCl(2), CaCl(2), SrCl(2), and BaCl(2) demonstrate that the principal reason of the nonmonotonic behavior of the activity coefficient is a balance between the solvation and ion-ion correlation terms. This conclusion differs from previous studies that assumed that it is the balance of hard sphere repulsion and electrostatic attraction that produces the nonmonotonic behavior. Our results indicate that the earlier assumption that solvation can be taken into account by a larger, "solvated" ionic radius should be reconsidered. To explain second order effects (such as dependence on ionic size), we conclude that explicit water models are needed.

Entities:  

Year:  2010        PMID: 20969403     DOI: 10.1063/1.3489418

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  5 in total

1.  A method for treating the passage of a charged hard sphere ion as it passes through a sharp dielectric boundary.

Authors:  Dezso Boda; Douglas Henderson; Bob Eisenberg; Dirk Gillespie
Journal:  J Chem Phys       Date:  2011-08-14       Impact factor: 3.488

Review 2.  Interacting ions in biophysics: real is not ideal.

Authors:  Bob Eisenberg
Journal:  Biophys J       Date:  2013-05-07       Impact factor: 4.033

3.  Ionizable side chains at catalytic active sites of enzymes.

Authors:  David Jimenez-Morales; Jie Liang; Bob Eisenberg
Journal:  Eur Biophys J       Date:  2012-04-07       Impact factor: 1.733

4.  An electric field-based approach for quantifying effective volumes and radii of chemically affected space.

Authors:  Austin M Mroz; Audrey M Davenport; Jasper Sterling; Joshua Davis; Christopher H Hendon
Journal:  Chem Sci       Date:  2022-05-11       Impact factor: 9.969

5.  Ion correlations in nanofluidic channels: effects of ion size, valence, and concentration on voltage- and pressure-driven currents.

Authors:  Jordan Hoffmann; Dirk Gillespie
Journal:  Langmuir       Date:  2013-01-15       Impact factor: 3.882

  5 in total

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