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Updated: Sep 20, 2025

Tuning the Contractility and Deformation Modes of Active Actin-Based Assemblies In Vitro: From Two-Dimensional Active Networks to Liquid Crystal Drops
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Chemotactic self-caging in active emulsions.

Babak Vajdi Hokmabad1,2, Jaime Agudo-Canalejo2,3, Suropriya Saha2,3

  • 1Department of Complex Fluids, Max Planck Institute for Dynamics and Self-Organization, 37077 Göttingen, Germany.

Proceedings of the National Academy of Sciences of the United States of America
|June 9, 2022
PubMed
Summary
This summary is machine-generated.

Chemically active droplets create repulsive trails, leading to temporary self-organization and dynamical arrest in active emulsions. This study reveals how chemical signaling influences collective behavior and navigation strategies in such systems.

Keywords:
active mattercagingchemotaxismicroswimmersself-propelling droplets

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Area of Science:

  • Physical Chemistry
  • Soft Matter Physics
  • Chemical Physics

Background:

  • Active agents in biological systems often use chemical signaling for self-organization and collective movement.
  • Chemical gradients generated by these agents influence individual strategies and group migration patterns.

Purpose of the Study:

  • To investigate chemical communication and collective dynamics in a purely physicochemical system using self-propelling droplets.
  • To model active particles that modify their environment via self-generated chemical gradients acting as repulsive signals.

Main Methods:

  • Utilized self-propelling droplets as model active particles in a physicochemical system.
  • Analyzed agent-trail collisions and collective dynamics through experiments and simulations.
  • Quantitatively assessed the impact of chemical footprints on droplet interactions and environmental remodeling.

Main Results:

  • Demonstrated that droplets leave chemical footprints acting as chemorepulsive signals.
  • Observed transient dynamical arrest in active emulsions due to droplets being caged by chemical trails.
  • Showcased how negative autochemotaxis shapes droplet navigation strategies.

Conclusions:

  • Chemical signaling via self-generated gradients is a key mechanism for self-organization in active matter.
  • The study provides insights into the collective dynamics of chemically active particles.
  • Findings offer principles for predicting navigation strategies influenced by negative autochemotaxis.