Published February 20, 2024 | Version v1
Journal article Open

Topotaxis of active particles across long distances by sliding along obstacles

  • 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.

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10.1103_PhysRevResearch.6.013178.pdf

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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