Domino Reaction Encoded Heterogeneous Colloidal Microswarm with On-Demand Morphological Adaptability

Area of Science:

• Robotics
• Biomedical Engineering
• Materials Science

Background:

• Artificial micro/nanorobotic systems can mimic natural swarm intelligence for enhanced functionality.
• Challenges exist in achieving synchronous operation, environmental adaptability, and cooperative tasking in microswarms.

Purpose of the Study:

• To develop an adaptive and heterogeneous colloidal magnetic microswarm with encoded cooperative functions.
• To enable microswarms to overcome limitations of individual units and revolutionize applications.

Main Methods:

• Programming external magnetic fields to induce self-organization into vortex and ribbon microswarm states.
• Reversible switching between swarm states for adaptive morphological transformation.
• Integrating cooperative tasking via a "division of labor" approach with specialized subgroups.

Main Results:

• Demonstrated reversible switching between vortex and ribbon states within seconds for navigation in complex environments.
• Achieved coordinated delivery of the heterogeneous colloidal system with >90% access rate in complex environments.
• Realized specialization and cooperation for disrupting multiple cancer cell growth pathways via domino reactions.

Conclusions:

• The reconfigurable microswarm offers a bioinspired approach for environmental adaptation and multitasking.
• This technology advances microrobotic swarm development with significant potential benefits in biomedical fields, particularly targeted therapy.