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生物学中两个相关案例中的带记忆扩散

Diffusion with memory in two cases of biological interest.

作者信息

Caputo Michele, Cametti Cesare

机构信息

Dipartimento di Fisica, Universita' di Roma "La Sapienza", Piazzale A. Moro 5, I-00185 Roma, Italy.

出版信息

J Theor Biol. 2008 Oct 7;254(3):697-703. doi: 10.1016/j.jtbi.2008.06.021. Epub 2008 Jun 26.

Abstract

The complexity of a biological structure, such as membrane where the transport process may carry solid particles which may obstruct some of the pores, diminishing their size and making the permeability dependent on the local structure of the medium, suggests the introduction of a space-dependent diffusion constant. In this note, the profile concentration of diffusing solutes inside a cell membrane has been calculated on the basis of the Fick diffusion equation modified by introducing a memory formalism (diffusion with memory). This approach has been employed to describe the concentration profile inside the membrane when a sudden change of the concentration in the medium bathing one of its face is applied for a limited interval of time. A further application of the method concerns the so-called concentration boundary layer that occurs at the membrane-aqueous medium interface, where the solute concentration depends, even at considerable depth, on the local structure of the interface. These profiles are compared to some recent experiments concerning the diffusion of ethanol in a layer close to a nephrophane membrane. This approach generalizes the diffusion models based on the Fick equation to more complex systems, where a space-independent diffusion coefficient could be inappropriate to take into account the large variety of diffusion processes in biological systems.

摘要

生物结构的复杂性,例如膜结构,在其传输过程中可能携带固体颗粒,这些颗粒可能会堵塞一些孔隙,减小孔隙尺寸并使渗透率取决于介质的局部结构,这表明需要引入一个与空间相关的扩散常数。在本笔记中,基于通过引入记忆形式(带记忆的扩散)修改的菲克扩散方程,计算了细胞膜内扩散溶质的浓度分布。当在有限的时间间隔内,对膜一侧的浴液浓度进行突然改变时,该方法已被用于描述膜内的浓度分布。该方法的另一个应用涉及在膜 - 水介质界面处出现的所谓浓度边界层,在那里溶质浓度即使在相当深的深度也取决于界面的局部结构。将这些分布与最近一些关于乙醇在靠近肾形藻膜的层中的扩散的实验进行了比较。这种方法将基于菲克方程的扩散模型推广到更复杂的系统,在这些系统中,与空间无关的扩散系数可能不适用于考虑生物系统中各种各样的扩散过程。

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