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Surface-active microrobots can propel through blood faster than inert microrobots
Chenjun Wu1, Toshihiro Omori1, Takuji Ishikawa1,2
1Graduate School of Engineering, Tohoku University, Aramakiaza Aoba 6-6-01, Sendai, Miyagi 980-8579, Japan.
PNAS Nexus
|October 30, 2024
Summary
Surface-active microrobots, like squirmers, are more efficient for propulsion in blood than inert ones. Their surface velocity aids blood cell rearrangement, enhancing microrobot movement for medical applications.
Area of Science:
- Biomedical Engineering
- Fluid Dynamics
- Microscale Transport
Background:
- Microrobots navigating blood vessels require efficient propulsion methods.
- Blood's high cell volume fraction presents challenges for microrobot movement.
- The optimal swimming strategy for microrobots in blood is not well understood.
Purpose of the Study:
- To numerically investigate microrobot propulsion efficiency in blood.
- To compare the performance of surface-active versus inert microrobots.
- To identify key factors influencing microrobot swimming speed in blood.
Main Methods:
- Numerical simulations were employed to model microrobot dynamics in blood.
- The study analyzed different microrobot types, including squirmers.
- Key parameters such as microrobot size, Capillary number, hematocrit, and magnetic torque were varied.
Main Results:
- Surface-active microrobots (squirmers) demonstrate superior propulsion efficiency in blood compared to inert ones.
- Puller microrobots outperform pusher types at sizes comparable to red blood cells or low Capillary numbers.
- Swimming speed is significantly influenced by hematocrit and applied magnetic torque.
- The squirmer model shows broad applicability, outperforming the Janus squirmer in certain aspects.
Conclusions:
- Surface-active microrobots offer a promising design for efficient propulsion in blood.
- Understanding the interplay between microrobot properties and blood rheology is crucial for medical applications.
- This research provides insights for developing advanced microrobots for targeted drug delivery and diagnostics.

