Enhanced diffusion of tracer particles in dilute bacterial suspensions
Alexander Morozov, Davide Marenduzzo

TL;DR
This paper develops a theoretical model to predict the enhanced diffusivity of passive particles caused by swimming bacteria, validated by simulations and experiments, revealing the influence of bacterial run length and density.
Contribution
It adapts kinetic theory for squirmers to bacteria, providing a quantitative prediction of enhanced diffusivity considering system parameters.
Findings
Effective diffusion coefficient depends on bacterial density, speed, and geometry.
Numerical factor strongly varies with bacterial run length.
Model predictions agree with recent experimental measurements.
Abstract
Swimming bacteria create long-range velocity fields that stir a large volume of fluid and move around passive particles dispersed in the fluid. Recent experiments and simulations have shown that long-time mean-squared displacement of passive particles in a bath of swimming bacteria exhibits diffusive behaviour with the effective diffusion coefficient significantly larger than its thermal counterpart. Comprehensive theoretical prediction of this effective diffusion coefficient and understanding of the enhancement mechanism remain a challenge. Here, we adapt the kinetic theory by Lin et al., J. Fluid Mech. 669, 167 (2011) developed for 'squirmers' to the bacterial case to quantitatively predict enhanced diffusivity of tracer particles in dilute two- and three-dimensional suspensions of swimming bacteria. We demonstrate that the effective diffusion coefficient is a product of the bacterial…
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Taxonomy
TopicsMicro and Nano Robotics · Microfluidic and Bio-sensing Technologies · Lattice Boltzmann Simulation Studies
