Self-organization of active particles by quorum sensing rules

Area of Science:

• Physics
• Biophysics
• Soft Matter Physics

Background:

• Microorganisms use quorum sensing for communication and organization based on population density.
• Quorum sensing in living systems relies on biochemical processes.
• Synthetic active particles offer a platform to study density-dependent behaviors using external fields.

Purpose of the Study:

• To investigate how variations in density-dependent particle response affect self-organization in synthetic active particles.
• To explore programmable control over particle behavior and its impact on collective properties.

Main Methods:

• Experimental and numerical demonstration using light-activated active particles.
• Individual particle motility controlled by a feedback-loop involving particle detection and a scanning laser system.
• System analyzed for self-organization into aggregates with varying characteristics.

Main Results:

• The system self-organizes into aggregates with different sizes, densities, and shapes.
• The specific characteristics of the aggregates depend on how particle motility responds to neighbor density.
• Programmable individual particle responses allow detailed insights into communication effects.

Conclusions:

• Synthetic active particles can effectively mimic and extend quorum sensing principles.
• External control over particle responses provides a powerful tool to study collective behavior and self-organization.
• This approach offers new avenues for understanding communication in motile systems and designing artificial active matter.