Transport and dispersion of active particles in periodic porous media

TL;DR

This paper develops a theoretical model using generalized Taylor dispersion theory to understand how active particles like bacteria disperse in periodic porous media, revealing complex interactions between motility, flow, and geometry.

Contribution

It introduces a validated theoretical framework for analyzing active particle transport in porous structures, accounting for flow, motility, and obstacle shape effects.

Findings

Active dispersion dominates in weak flows, hindered by obstacles.

Shear-induced Taylor dispersion dominates in strong flows, enhanced by pillar regions.

Pillar shape influences dispersion magnitude and can induce net particle migration.

Abstract

The transport of self-propelled particles such as bacteria and phoretic swimmers through crowded heterogeneous environments is relevant to many natural and engineering processes, from biofilm formation and contamination processes to transport in soils and biomedical devices. While there has been experimental progress, a theoretical understanding of mean transport properties in these systems has been lacking. In this work, we apply generalized Taylor dispersion theory to analyze the long-time statistics of an active self-propelled Brownian particle transported under an applied flow through the interstices of a periodic lattice that serves as an idealization of a porous medium. Our theoretical model, which we validate against Brownian dynamics simulations, is applied to unravel the roles of motility, fluid flow, and lattice geometry on asymptotic mean velocity and dispersivity. In weak flows, transport is dominated by active dispersion, which results from self-propulsion in the presence of noise and is hindered by the obstacles that act as entropic barriers. In strong flows, shear-induced Taylor dispersion becomes the dominant mechanism for spreading, with pillars now acting as regions of shear production that enhance dispersion. The interplay of these two effects leads to complex and unexpected trends, such as a non-monotonic dependence of axial dispersivity on flow strength and a reduction in dispersion due to swimming activity in strong flows. Brownian dynamics are used to cast light on the pre-asymptotic regime, where tailed distributions are observed in agreement with recent experiments on motile micro-organisms. Our results also highlight the subtle effects of pillar shape, which can be used to control the magnitude of dispersion and to drive a net particle migration in quiescent systems.