A stochastic model for bacteria-driven micro-swimmers. Issue 12 (1st March 2019)
- Record Type:
- Journal Article
- Title:
- A stochastic model for bacteria-driven micro-swimmers. Issue 12 (1st March 2019)
- Main Title:
- A stochastic model for bacteria-driven micro-swimmers
- Authors:
- Esparza López, Christian
Théry, Albane
Lauga, Eric - Abstract:
- Abstract : We derive analytical expressions for the diffusion coefficient and the chemotactic drift velocity of bacteria-driven micro-swimmers. Abstract : Experiments have recently shown the feasibility of utilising bacteria as micro-scale robotic devices, with special attention paid to the development of bacteria-driven micro-swimmers taking advantage of built-in actuation and sensing mechanisms of cells. Here we propose a stochastic fluid dynamic model to describe analytically and computationally the dynamics of microscopic particles driven by the motion of surface-attached bacteria undergoing run-and-tumble motion. We compute analytical expressions for the rotational diffusion coefficient, the swimming speed and the effective diffusion coefficient. At short times, the mean squared displacement (MSD) is proportional to the square of the swimming speed, which is independent of the particle size (for fixed density of attached bacteria) and scales linearly with the number of attached bacteria; in contrast, at long times the MSD scales quadratically with the size of the swimmer and is independent of the number of bacteria. We then extend our result to the situation where the surface-attached bacteria undergo chemotaxis within the linear response regime. We demonstrate that bacteria-driven particles are capable of performing artificial chemotaxis, with a chemotactic drift velocity linear in the chemical concentration gradient and independent of the size of the particle. OurAbstract : We derive analytical expressions for the diffusion coefficient and the chemotactic drift velocity of bacteria-driven micro-swimmers. Abstract : Experiments have recently shown the feasibility of utilising bacteria as micro-scale robotic devices, with special attention paid to the development of bacteria-driven micro-swimmers taking advantage of built-in actuation and sensing mechanisms of cells. Here we propose a stochastic fluid dynamic model to describe analytically and computationally the dynamics of microscopic particles driven by the motion of surface-attached bacteria undergoing run-and-tumble motion. We compute analytical expressions for the rotational diffusion coefficient, the swimming speed and the effective diffusion coefficient. At short times, the mean squared displacement (MSD) is proportional to the square of the swimming speed, which is independent of the particle size (for fixed density of attached bacteria) and scales linearly with the number of attached bacteria; in contrast, at long times the MSD scales quadratically with the size of the swimmer and is independent of the number of bacteria. We then extend our result to the situation where the surface-attached bacteria undergo chemotaxis within the linear response regime. We demonstrate that bacteria-driven particles are capable of performing artificial chemotaxis, with a chemotactic drift velocity linear in the chemical concentration gradient and independent of the size of the particle. Our results are validated against numerical simulations in the Brownian dynamics limit and will be relevant to the optimal design of micro-swimmers for biomedical applications. … (more)
- Is Part Of:
- Soft matter. Volume 15:Issue 12(2019)
- Journal:
- Soft matter
- Issue:
- Volume 15:Issue 12(2019)
- Issue Display:
- Volume 15, Issue 12 (2019)
- Year:
- 2019
- Volume:
- 15
- Issue:
- 12
- Issue Sort Value:
- 2019-0015-0012-0000
- Page Start:
- 2605
- Page End:
- 2616
- Publication Date:
- 2019-03-01
- Subjects:
- Soft condensed matter -- Periodicals
530.413 - Journal URLs:
- http://www.rsc.org/Publishing/Journals/sm/index.asp ↗
http://www.rsc.org/ ↗ - DOI:
- 10.1039/c8sm02157k ↗
- Languages:
- English
- ISSNs:
- 1744-683X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8321.419000
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 9678.xml