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Modeling solid-state transformations occurring in dissolution testing.

Timo Laaksonen1, Jaakko Aaltonen

  • 1Division of Pharmaceutical Technology, Faculty of Pharmacy, University of Helsinki, 00014 University of Helsinki, Finland. timo.laaksonen@helsinki.fi

International Journal of Pharmaceutics
|March 20, 2013
PubMed
Summary
This summary is machine-generated.

This study developed a mathematical model to understand drug solid-state changes during dissolution testing. The model accurately reflects real-world transformations, distinguishing between solvent-mediated crystallization and solid-state crystal growth.

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Area of Science:

  • Pharmaceutical Sciences
  • Physical Chemistry
  • Materials Science

Background:

  • Solid-state form changes during drug dissolution testing can complicate result interpretation.
  • Mechanisms like solvent-mediated transformation and crystal growth influence these changes.
  • Accurate modeling is crucial for understanding drug behavior during dissolution.

Purpose of the Study:

  • To construct a mathematical model simulating drug dissolution with solid-state transformations.
  • To investigate the interplay between dissolution, recrystallization, and crystal growth.
  • To differentiate between solvent-mediated and solid-state controlled transformations.

Main Methods:

  • Developed a two-process mathematical model incorporating recrystallization and crystal growth.
  • Modeled recrystallization from a supersaturated liquid state.
  • Modeled crystal growth of the stable solid form at the formulation surface.

Main Results:

  • The model accurately simulated solid-state changes observed during drug dissolution.
  • Experimental data comparison validated the model's predictive capabilities.
  • The model successfully distinguished between solvent-mediated crystallization and solid-state crystal growth control.

Conclusions:

  • Mathematical modeling provides a robust approach to studying drug solid-state changes during dissolution.
  • The developed model aids in understanding complex transformation mechanisms.
  • This work enhances the interpretation of dissolution testing results for various drug formulations.