Flux theory for Poisson distributed pores with Gaussian permeability.
The mean of the solute flux through membrane pores depends on the random distribution and permeability of the pores. Mathematical models including such randomness factors make it possible to obtain statistical parameters for pore characterization. Here, assuming that pores follow a Poisson distribution in the lipid phase and that their permeabilities follow a Gaussian distribution, a mathematical model for solute dynamics is obtained by applying a general result from a previous work regarding any number of different kinds of randomly distributed pores. The new proposed theory is studied using experimental parameters obtained elsewhere, and a method for finding the mean single pore flux rate from liposome flux assays is suggested. This method is useful for pores without requiring studies by patch-clamp in single cells or single-channel recordings. However, it does not apply in the case of ion-selective channels, in which a more complex flux law combining the concentration and electrical gradient is required.
a Centro de Investigación Biomédica, Facultad de Medicina , Universidad Diego Portales , Santiago , Chile.
Dino G
DG
Salinas
D002462:Cell Membrane / Q000378:metabolism*; D002463:Cell Membrane Permeability; D003198:Computer Simulation; D008081:Liposomes / Q000378:metabolism*; D008962:Models, Theoretical; D016011:Normal Distribution; D016012:Poisson Distribution; D016062:Porosity
D008081:Liposomes
Gauss; Poisson; channel; distribution; flux; modeling; parameter; permeability; pore; random