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Ion Flow through Narrow Membrane Channels: Part I

Authors: Victor Barcilon;

Ion Flow through Narrow Membrane Channels: Part I

Abstract

This paper is devoted to the study of the flow of ions through protein channels in physiological membranes. More specifically, it is concerned with the role of the electrical properties of the channel in determining that flow. For the case of long channels, it is shown that, when the channels have a small permittivity (compared to that of the aqueous solution), the potential down the channel is markedly altered. In particular, this potential $\Phi $ does not satisfy a one-dimensional Poisson-Boltzmann, but rather is a solution of a new equation, namely,\[ \begin{gathered} \frac{{d^2 \Phi }}{{dz^2 }} + \frac{{2\epsilon }}{{\alpha ^2 In\alpha }}(\Phi - (1 - z)\Delta ) \hfill \\ \qquad = - \lambda ^2 \sum\limits_i {Z_i \frac{{l_{ic_L } e^{Z_i \Delta } \int_z^1 {e^{Z_i \Phi } d\zeta + r_i c_R \int_0^z {e^{Z_i \Phi } d\zeta } } }} {{e^{Z_i \Phi } \int_0^1 {e^{Z_i \Phi } d\zeta } }}} , \hfill \\ \end{gathered} \] where $\alpha $ is the small aspect ratio and $\epsilon $ is the ratio of the permittivity of the c...

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selected citations
These citations are derived from selected sources.
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!
83
Top 10%
Top 10%
Average
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