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The Journal of Physical Chemistry B
Article . 2010 . Peer-reviewed
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Dynamic Theory of Membrane Potentials

Authors: Ward, K; Dickinson, E; Compton, R;

Dynamic Theory of Membrane Potentials

Abstract

An accurate understanding of the dynamics of membrane potential formation underpins modern electrophysiology and much of cell biochemistry. Computer simulations using a Nernst-Planck-Poisson (NPP) finite difference method are used to model the dynamic evolution of a series of membrane systems in which two reservoirs of electrolyte solution are separated by a thin membrane which is impermeable to selected species. Two specific examples are considered in detail. The first ("type 1") is the case in which the solutions are monophasic but of unequal concentration, and the second ("type 2") is the case in which the solutions are of equal concentrations but different phase, with a common impermeant ion (a bi-ionic membrane). The validity of the Goldman equation for membrane potential, as applied to each case, is investigated. The type 1 case is shown to reach a steady state, and strong agreement with the Donnan equation for potential difference is observed. For the type 2 case, it is shown that the potential difference consists of two separable components: a localized, Donnan-type potential that reaches a pseudosteady state and a dynamically expanding diffuse component, with properties similar to those of a liquid junction potential, that does not reach a steady state but rather discharges at constant potential difference. This is contrary to the classical interpretation of a static diffuse layer, due to Planck, Henderson, and Goldman.

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Keywords

Diffusion, Time Factors, Cell Membrane, Reproducibility of Results, Models, Biological, Membrane Potentials

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Top 10%
Average
Top 10%
Green
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