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Various dissolution theories provide insight into the factors that influence the dissolution rate. Danckwerts' Model suggests that turbulence, rather than a stagnant layer, characterizes the dissolution medium at the solid-liquid interface. In this model, the agitated solvent contains macroscopic packets that move to the interface via eddy currents, facilitating the absorption and delivery of the drug to the bulk solution. The regular replenishment of solvent packets maintains the...
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Diffusion across particle-laden interfaces in Pickering droplets.

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Pickering emulsions, stabilized by nanoparticles, show that particle layers at interfaces do not significantly hinder solute diffusion. Diffusion effects are localized near particles, with far-field profiles resembling bare interfaces.

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Area of Science:

  • Colloid and Surface Science
  • Chemical Engineering
  • Materials Science

Background:

  • Pickering emulsions, stabilized by nanoparticles, offer exceptional stability for diverse applications.
  • Nanoparticle layers at droplet interfaces act as semi-permeable barriers, influencing encapsulation and biphasic chemical reactions.
  • Limited understanding of diffusion in particle-laden multiphase systems hinders optimal application development.

Purpose of the Study:

  • To experimentally quantify concentration fields in Pickering droplets in real-time.
  • To investigate the impact of nanoparticle layers on solute diffusion across liquid-liquid interfaces.
  • To bridge the fundamental understanding gap in diffusion through particle-laden interfaces.

Main Methods:

  • Developed an in situ experimental approach for real-time concentration field measurement.
  • Utilized a Hele-Shaw geometry for Pickering droplet experiments.
  • Employed an unsteady diffusion model to interpret experimental results and predict concentration evolution.

Main Results:

  • Experiments showed no significant hindrance of solute diffusion across densely nanoparticle-covered interfaces.
  • The diffusion model indicated that particle hindrance is localized near the interface.
  • Far-field concentration profiles approached those of a bare interface over time.

Conclusions:

  • The localized effect of nanoparticle hindrance on diffusion is not easily measurable over longer experimental timescales.
  • Model predictions suggest particle size and liquid properties can influence diffusion hindrance.
  • Understanding these localized effects is crucial for optimizing Pickering emulsion applications.