Partitioning of active particles into porous media
- Creators
-
Kjeldbjerg, Camilla M.
-
Brady, John F.
Abstract
Passive Brownian particles partition homogeneously between a porous medium and an adjacent fluid reservoir. In contrast, active particles accumulate near boundaries and can therefore preferentially partition into the porous medium. Understanding how active particles interact with and partition into such an environment is important for optimizing particle transport. In this work, both the initial transient and steady behavior as active swimmers partition into a porous medium from a bulk fluid reservoir are investigated. At short times, the particle number density in the porous medium exhibits an oscillatory behavior due to the particles' ballistic motion when time t < τ_R, where τ_R is the reorientation time of the active particles. At longer times, t > L²/D^(swim), the particles diffuse from the reservoir into the porous medium, leading to a steady state concentration partitioning. Here, L is the characteristic length scale of the porous medium and D^(swim) = U₀l/d(d − 1), where U₀ is the intrinsic swim speed of the particles, l = U₀τ_R is the particles' run, or persistence, length, and d is the dimension of the reorientation process. An analytical prediction is developed for this partitioning for spherical obstacles connected to a fluid reservoir in both two and three dimensions based on the Smoluchowski equation and a macroscopic mechanical momentum balance. The analytical prediction agrees well with Brownian dynamics simulations.
Additional Information
© The Royal Society of Chemistry 2022. Received 9th December 2021, Accepted 10th March 2022. This work was supported in part by the National Science Foundation under Grant No. 1803662. There are no conflicts to declare.Attached Files
Supplemental Material - d1sm01752g1.pdf
Files
Name | Size | Download all |
---|---|---|
md5:9a027baf33786954f1cc1b2c2acc0878
|
21.7 MB | Preview Download |
Additional details
- Eprint ID
- 114018
- Resolver ID
- CaltechAUTHORS:20220323-545790000
- NSF
- CBET-1803662
- Created
-
2022-03-23Created from EPrint's datestamp field
- Updated
-
2022-04-08Created from EPrint's last_modified field