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Reversible Microwheel Translation Induced by Polymer Depletion
Aaron K Ishiki1, Keith B Neeves2,3, David W M Marr1
1Department of Chemical and Biological Engineering, Colorado School of Mines, Golden, Colorado 80401, United States.
Microscopic robots (μbots) can be assembled from magnetic particles and propelled along surfaces. High-molecular-weight polymers in the fluid can reverse μbot direction by altering local viscosity.
Area of Science:
- Soft Matter Physics
- Micro-robotics
- Colloidal Science
Background:
- Microscopic robots (μbots) require motility for in vivo applications, with designs like helical swimmers translating through bulk fluids.
- Previously, we demonstrated reversible assembly of superparamagnetic colloidal particles into μbots that translate along surfaces via wet friction under rotating magnetic fields.
Purpose of the Study:
- To investigate the impact of high-molecular-weight polymers on the surface transport of microbots (μbots).
- To determine how polymer exclusion and its effect on local viscosity influence μbot locomotion and interactions.
Main Methods:
- Utilized xanthan gum as a model high-molecular-weight polymer in aqueous systems.
- Applied rotating magnetic fields to assemble and actuate superparamagnetic colloidal particles into μbots.
- Analyzed μbot translation along surfaces, focusing on the effects of polymer depletion and local viscosity changes.
Main Results:
- High-molecular-weight polymers, approaching the microbot-surface gap size, are excluded from the interface.
- Polymer depletion showed a weak effect on colloid-surface interactions but significantly influenced local viscosity.
- The alteration in local viscosity was sufficient to induce a reversal in the μbot translation direction.
Conclusions:
- The presence of high-molecular-weight polymers can critically impact microbot (μbot) transport dynamics along surfaces.
- Local viscosity modulation by polymer depletion is a key factor, overriding direct surface interaction effects.
- This finding is crucial for controlling microbot navigation in complex biological environments.
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