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Related Concept Videos

Factors Affecting Dissolution: Particle Size and Effective Surface Area01:23

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Dissolution kinetics, an essential aspect of oral drug delivery, is significantly influenced by the drug's particle size. According to the Noyes-Whitney dissolution model, the dissolution rate correlates directly with the drug's surface area. The larger the surface area, the higher the drug's solubility in water, leading to a faster drug dissolution rate. Reducing particle size increases the effective surface area, enhancing the dissolution process. Micronization and nanosizing are...
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In precipitation gravimetry, the precipitating agent should react specifically or selectively with the analyte. While a specific reagent reacts with the analyte alone, a selective reagent can react with a limited number of chemical species.
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Droplet Size Distribution in Emulsions.

Manon L'Estimé1, Michael Schindler2, Noushine Shahidzadeh1

  • 1Van der Waals-Zeeman Institute, Institute of Physics, University of Amsterdam, 1098XH Amsterdam, The Netherlands.

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Summary
This summary is machine-generated.

High-shear mixing creates emulsions with log-normal droplet size distributions, differing from turbulent emulsification theories. Droplet size depends on capillary number, not Reynolds number, in this process.

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Area of Science:

  • Colloid and Surface Science
  • Fluid Dynamics
  • Materials Science

Background:

  • Droplet size in emulsions significantly impacts rheological properties and application performance.
  • The mechanisms controlling droplet size during emulsification are not fully understood.
  • Current emulsification methods often lack detailed mechanistic understanding.

Purpose of the Study:

  • To investigate the average droplet size and size distribution during high-shear emulsification.
  • To compare high-shear emulsification with theoretical models of turbulent emulsification.
  • To determine the key dimensionless numbers governing droplet size in high-shear mixing.

Main Methods:

  • Utilized a high-shear mixer to create model oil-in-water emulsions.
  • Emulsions were stabilized using a surfactant.
  • Analyzed droplet size distribution and mean droplet size.

Main Results:

  • Droplet size distribution followed a log-normal pattern, attributed to repetitive random drop breakup.
  • High-shear emulsification results differ from turbulent emulsification predictions (e.g., Kolmogorov-Hinze theory).
  • Mean droplet size scaled with the capillary number, not the Reynolds number, indicating continuous phase viscosity is critical.

Conclusions:

  • High-shear emulsification mechanisms are distinct from turbulent flow models.
  • The capillary number is a more relevant scaling parameter than the Reynolds number for high-shear emulsification.
  • Understanding these mechanisms is crucial for controlling emulsion properties in various applications.