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Theories of Dissolution: The Danckwerts' Model and Interfacial Barrier Model01:09

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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 concentration...
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Dissolution, the process by which drug particles dissolve in a solvent, is explained by the diffusion layer model, a theoretical framework that simulates the absorption of oral drugs and allows us to analyze experimental data.
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Fluid-cell Raman Spectroscopy for operando Studies of Reaction and Transport Phenomena during Silicate Glass Corrosion
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Aluminosilicate dissolution kinetics: a general stochastic model.

Li Zhang1, Andreas Lüttge

  • 1Department of Earth Science and Department of Chemistry, Rice University, Houston, TX 77251-1892, USA.

The Journal of Physical Chemistry. B
|January 24, 2008
PubMed
Summary
This summary is machine-generated.

A new stochastic model explains aluminosilicate dissolution kinetics by exploring all elementary reactions and surface processes. This approach aligns with experimental data, enhancing our fundamental understanding of mineral dissolution.

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Area of Science:

  • Geochemistry
  • Materials Science
  • Chemical Kinetics

Background:

  • Aluminosilicate dissolution is crucial for geochemical cycles and material degradation.
  • Existing models often rely on specific mechanistic assumptions, limiting their applicability.
  • Understanding dissolution at the atomic scale is essential for accurate predictions.

Purpose of the Study:

  • To develop and apply a comprehensive kinetic model for aluminosilicate dissolution.
  • To explore elementary reactions and surface processes without pre-defined mechanistic assumptions.
  • To elucidate the atomic-scale origins of observed macroscopic dissolution behaviors.

Main Methods:

  • Application of a stochastic kinetic model originally developed for crystal dissolution.
  • Inclusion of elementary reactions: bond breakage/formation, surface diffusion, and Si/Al unit transport.
  • Modeling the interdependence of processes based on the 3D surface structure of interconnected Si- and Al- atoms.

Main Results:

  • Model results are consistent with experimental data across multiple aspects.
  • Observed phenomena include saturation state dependence, aluminum inhibition, and anisotropic dissolution.
  • The model successfully predicts surface chemistry evolution and alteration products.

Conclusions:

  • The stochastic model provides a unified framework for understanding aluminosilicate dissolution.
  • It successfully integrates microscopic atomic-scale information with macroscopic experimental observations.
  • This work significantly advances the fundamental understanding of aluminosilicate dissolution kinetics.