Topotaxis of active particles across long distances by sliding along obstacles
Creators
- 1. Department of Theoretical Physics & Center for Biophysics, Saarland University, 66123 Saarbrücken, Germany
- 2. Leibniz Institute for New Materials INM, 66123 Saarbrücken, Germany
Description
Many biological active agents respond to gradients of environmental cues by redirecting their motion. In addition to the well-studied prominent examples such as phototaxis and chemotaxis, there has been considerable recent interest in topotaxis, i.e., the ability to sense and follow topographic environmental cues. A trivial topotaxis is achievable through a spatial gradient of obstacle density, though over limited length scales. Here, we introduce a type of topotaxis based on sliding of particles along obstacles—as observed, e.g., in bacterial dynamics near surfaces. We numerically demonstrate how imposing a gradient in the angle of sliding along pillars breaks the spatial symmetry and biases the direction of motion, resulting in an efficient topotaxis in a uniform pillar park. By repeating blocks of pillars with a strong gradient of sliding angle, we propose an efficient method for guiding particles over arbitrary long distances. We provide an explanation for this spectacular phenomenon based on effective reflection at the borders of neighboring blocks. Our results are of technological and medical importance for design of efficient taxis devices for living agents.
Files
10.1103_PhysRevResearch.6.013178.pdf
Files
(980.4 kB)
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Additional details
Identifiers
- DOI
- 10.1103/PhysRevResearch.6.013178;
- arXiv
- arXiv:2305.02055;
- Crossref Funder ID
- 10.13039/501100001659;
Publishing Information
- Journal Title
- Physical Review Research
- Journal Volume
- 6
- Journal Issue
- 1
- Journal Page Range
- 6 pgs.
- ISSN
- 2643-1564
INIS
- Country of Publication
- United States
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- Subject category
- S97: MATHEMATICAL METHODS AND COMPUTING; S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Descriptors DEI
- DENSITY; DESIGN; DISTANCE; DYNAMICAL SYSTEMS; DYNAMICS; EQUIPMENT; LENGTH; LIMIT CYCLE; MOTION; NUMERICAL ANALYSIS; PARTICLES; REFLECTION; SURFACES; SYMMETRY
- Descriptors DEC
- ATTRACTORS; DIMENSIONS; MATHEMATICS; MECHANICS; PHYSICAL PROPERTIES
Optional Information
- Notes
- Contact Email: sadjadi@lusi.uni-sb.de; Record automatically processed
- Funding organization
- Deutsche Forschungsgemeinschaft