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Application of Voltage in Dynamic Light Scattering Particle Size Analysis
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Stochastic dynamics of dissolving active particles.

Alexander Chamolly1, Eric Lauga2

  • 1Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Wilberforce Road, CB3 0WA, Cambridge, UK. ajc297@cam.ac.uk.

The European Physical Journal. E, Soft Matter
|July 14, 2019
PubMed
Summary
This summary is machine-generated.

Researchers developed models for degradable artificial microswimmers, addressing indefinite fluid presence risks. A new parameter classifies colloids, predicting lifetimes and movement for safer applications like drug delivery.

Keywords:
Soft Matter: Colloids and Nanoparticles

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Area of Science:

  • Physics
  • Chemical Engineering
  • Materials Science

Background:

  • Artificial microswimmers offer potential for nanomotors and targeted drug delivery.
  • Current designs pose risks due to indefinite persistence in fluids, causing clogging and damage.

Purpose of the Study:

  • To investigate the dynamics of degradable active particles.
  • To develop and compare chemical models for microswimmer decay.
  • To provide insights into the experimental applicability of degradable active colloids.

Main Methods:

  • Developed two distinct chemical models for swimmer decay (dissolution and reaction-based).
  • Analyzed swimmers in large and small Damköhler number limits.
  • Derived expressions for colloid lifetimes and mean squared displacement using asymptotic analysis.
  • Validated theoretical results with numerical Monte Carlo simulations of Langevin dynamics.

Main Results:

  • Introduced a new dimensionless parameter for classifying colloids as ballistic or diffusive.
  • Derived theoretical expressions for colloid lifetimes and total mean squared displacement.
  • Validated findings through numerical simulations, confirming general scaling relationships.

Conclusions:

  • Theoretical results offer new insights into the experimental applicability of degradable active colloids.
  • The developed models and parameter provide a framework for designing safer microswimmers.
  • Findings support the advancement of degradable active particle technology for various applications.