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Immediate drug release from solid oral dosage forms.

Thomas Schreiner1, Ulrich F Schaefer, Helmut Loth

  • 1Institute of Biopharmaceutics and Pharmaceutical Technology, Saarland University, D-66041 Saarbruecken, Germany.

Journal of Pharmaceutical Sciences
|March 12, 2005
PubMed
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Formulation scientists developed a new mathematical model to predict drug release from solid dosage forms. This model accurately describes drug dissolution, aiding in the optimization of immediate drug release formulations.

Area of Science:

  • Pharmaceutical Sciences
  • Materials Science

Background:

  • Fast drug release from solid dosage forms is crucial but often hindered by tablet and granulation structures.
  • Excipients and manufacturing processes significantly influence drug release kinetics, yet their complex interactions are not fully understood.

Purpose of the Study:

  • To investigate the relationship between excipient functionality, production processes, and drug release.
  • To develop and validate a new mathematical model for predicting drug dissolution from solid dosage forms.

Main Methods:

  • Evaluated wettability, porosity, water uptake, and drug release rates of ketoprofen preparations (powder blends, granulations, tablets).
  • Developed a novel dissolution equation combining the Noyes-Whitney equation with a lognormal distribution function.
  • Numerically solved the model using EASY-FIT software and compared it with the Weibull function.

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Main Results:

  • No significant linear correlation was found between measured parameters and drug release, indicating complex interdependencies.
  • The new stochastic model demonstrated higher accuracy in fitting dissolution data compared to the Weibull function, especially during initial and final release phases.
  • The model effectively captures the time-dependent changes in the effective dissolution surface.

Conclusions:

  • The developed mathematical model provides a more accurate description of drug dissolution from solid dosage forms.
  • This model is valuable for characterizing and optimizing immediate drug release formulations through excipient selection and process modification.
  • Understanding excipient-process interactions is key to enhancing drug delivery performance.