Galovic Slobodanka, Čukić Milena, Chevizovich Dalibor
Vinca Institute of Nuclear Sciences-National Institute of the Republic of Serbia, University of Belgrade, Mike Petrovica Alasa 12-14, P.O. Box 522, 11001 Belgrade, Serbia.
Empa, Swiss Federal Institute for Materials Science and Technology, Laboratory for Biomimetic Membranes and Textiles, Lerchenfeldstrasse 5, 9014 St. Gallen, Switzerland.
Membranes (Basel). 2025 Jan 6;15(1):11. doi: 10.3390/membranes15010011.
Nanoporous membranes are heterogeneous structures, with heterogeneity manifesting at the microscale. In examining particle transport through such media, it has been observed that this transport deviates from classical diffusion, as described by Fick's second law. Moreover, the classical model is physically unsustainable, as it is non-causal and predicts an infinite speed of concentration perturbation propagation through a substantial medium. In this work, we have derived two causal models as extensions of Fick's second law, where causality is linked to the effects of inertial memory in the nanoporous membrane. The results of the derived models have been compared with each other and with those obtained from the classical model. It has been demonstrated that both causal models, one with exponentially fading inertial memory and the other with power-law fading memory, predict that the concentration perturbation propagates as a damped wave, leading to an increased time required for the cumulative amount of molecules passing through the membrane to reach a steady state compared to the classical model. The power-law fading memory model predicts a longer time required to achieve a stationary state. These findings have significant implications for understanding cell physiology, developing drug delivery systems, and designing nanoporous membranes for various applications.
纳米多孔膜是异质结构,其异质性在微观尺度上表现出来。在研究粒子通过此类介质的传输时,已观察到这种传输偏离了由菲克第二定律描述的经典扩散。此外,经典模型在物理上是不可持续的,因为它是非因果的,并且预测浓度扰动在大量介质中的传播速度是无限的。在这项工作中,我们推导了两个作为菲克第二定律扩展的因果模型,其中因果关系与纳米多孔膜中的惯性记忆效应相关联。已将推导模型的结果相互比较,并与从经典模型获得的结果进行了比较。结果表明,两个因果模型,一个具有指数衰减的惯性记忆,另一个具有幂律衰减的记忆,都预测浓度扰动以衰减波的形式传播,与经典模型相比,这导致通过膜的分子累积量达到稳态所需的时间增加。幂律衰减记忆模型预测达到稳态所需的时间更长。这些发现对于理解细胞生理学、开发药物递送系统以及设计用于各种应用的纳米多孔膜具有重要意义。