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Ionic Effects in Ionic Diffusiophoresis in Chemically Driven Active Colloids.
Xuemao Zhou1,2, Shuo Wang1,2, Longbin Xian1
1Institute for Advanced Study, Shenzhen University, 518060 Shenzhen, China.
Physical Review Letters
|November 1, 2021
Summary
Adding salt to chemically driven colloidal particles affects their motion. Particle interactions and self-propulsion direction depend on ionic strength and zeta potential, explained by a new ionic diffusiophoresis model.
Area of Science:
- Colloid science
- Physical chemistry
- Soft matter physics
Background:
- Chemically driven colloidal particles exhibit phoretic motion.
- Interactions between colloidal particles are influenced by their surrounding ionic environment.
- Understanding these interactions is crucial for controlling particle behavior.
Purpose of the Study:
- To experimentally investigate the impact of salt concentration on the phoretic motion of colloidal particles.
- To determine how ionic strength, zeta potential, and particle size influence particle interactions.
- To explore the reversal of self-propulsion in Janus colloids.
Main Methods:
- Experimental study of colloidal particle motion in varying salt concentrations.
- Measurement of particle interactions (attractive/repulsive) and self-propulsion.
- Development of an effective model incorporating colloid-ion interactions and Debye length.
- Quantitative comparison of model predictions with experimental results.
Main Results:
- The response of passive colloids to active colloids is dependent on ionic strength, zeta potential, and passive colloid size.
- The self-propulsion direction of Janus colloids can be reversed by lowering their zeta potential below a critical threshold.
- An effective model accurately captures particle responses and velocities under ionic diffusiophoresis theory.
Conclusions:
- Ionic strength significantly modulates phoretic motion and inter-colloid interactions.
- Zeta potential is a key factor in controlling the directionality of self-propelled Janus colloids.
- The developed model provides a quantitative framework for understanding colloidal behavior beyond the thin double-layer approximation.
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