Literature DB >> 12674596

Overcharging in colloids: beyond the Poisson-Boltzmann approach.

Manuel Quesada-Pérez1, Enrique González-Tovar, Alberto Martín-Molina, Marcelo Lozada-Cassou, Roque Hidalgo-Alvarez.   

Abstract

A broad range of manufactured products and biological fluids are colliods. The ability to understand and control the processes (of scientific, technological and industrial interest) in which such colloids are involved relies upon a precise knowledge of the electrical double layer. The traditional approach to describing this ion cloud around colloidal particles has been the Gouy-Chapman model developed on the basis of the Poisson-Boltzmann equation. Since the early 1980s, however, more sophisticated theoretical treatments have revealed both quantitative and qualitative deficiencies in the Poisson-Boltzmann theory, particularly at high ionic strengths and/or high surface charge densities. This review deals with these novel approaches, which are mostly computer simulations and approximate integral equation theories based on the so-called primitive model. Special attention is paid to phenomena that cannot be accounted for by the classic theory as a result of neglecting ion size correlations, such as overcharging, namely, the counterion concentration in the immediate neighborhood of the surface is so large that the particle surface is overcompensated. Other illustrative examples are the nonmonotonic behavior of the electrostatic potential and attractive interactions between equally charged surfaces. These predictions are certainly remarkable and, on paper, they can have an effect on experimentally measurable quantities (for instance, electrophoretic mobility). Even so, these new approaches have scarcely been applied in practice. Thus a critical survey on the relevance of ion size correlation in real systems is also included. Overcharging of macroions can also be brought about by adsorption of oppositely charged polyelectrolytes. Noteworthy examples and theoretical approaches for them are also briefly reviewed.

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Year:  2003        PMID: 12674596     DOI: 10.1002/cphc.200390040

Source DB:  PubMed          Journal:  Chemphyschem        ISSN: 1439-4235            Impact factor:   3.102


  11 in total

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3.  Competitive adsorption and ordered packing of counterions near highly charged surfaces: From mean-field theory to Monte Carlo simulations.

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Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2012-04-26

4.  Quantitative and comprehensive decomposition of the ion atmosphere around nucleic acids.

Authors:  Yu Bai; Max Greenfeld; Kevin J Travers; Vincent B Chu; Jan Lipfert; Sebastian Doniach; Daniel Herschlag
Journal:  J Am Chem Soc       Date:  2007-11-09       Impact factor: 15.419

5.  Excluded volume and ion-ion correlation effects on the ionic atmosphere around B-DNA: theory, simulations, and experiments.

Authors:  Zaven Ovanesyan; Bharat Medasani; Marcia O Fenley; Guillermo Iván Guerrero-García; Mónica Olvera de la Cruz; Marcelo Marucho
Journal:  J Chem Phys       Date:  2014-12-14       Impact factor: 3.488

6.  The complex nature of calcium cation interactions with phospholipid bilayers.

Authors:  Adéla Melcrová; Sarka Pokorna; Saranya Pullanchery; Miriam Kohagen; Piotr Jurkiewicz; Martin Hof; Pavel Jungwirth; Paul S Cremer; Lukasz Cwiklik
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7.  Single Molecular Demonstration of Modulating Charge Inversion of DNA.

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Journal:  Sci Rep       Date:  2016-12-08       Impact factor: 4.379

8.  The effect of saliva on the fate of nanoparticles.

Authors:  Birgit J Teubl; Biljana Stojkovic; Dominic Docter; Elisabeth Pritz; Gerd Leitinger; Igor Poberaj; Ruth Prassl; Roland H Stauber; Eleonore Fröhlich; Johannes G Khinast; Eva Roblegg
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Review 9.  Multivalent ions and biomolecules: Attempting a comprehensive perspective.

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Journal:  Chemphyschem       Date:  2020-07-20       Impact factor: 3.102

Review 10.  Effects of Ionic Liquids on Metalloproteins.

Authors:  Aashka Y Patel; Keertana S Jonnalagadda; Nicholas Paradis; Timothy D Vaden; Chun Wu; Gregory A Caputo
Journal:  Molecules       Date:  2021-01-19       Impact factor: 4.411

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