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Related Experiment Videos

In vitro--in vivo correlation, a time scaling problem? Basic considerations on in vitro dissolution testing.

D Brockmeier, H M von Hattingberg

    Arzneimittel-Forschung
    |January 1, 1982
    PubMed
    Summary
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    Drug release profiles from solid dosage forms can be made comparable by transforming the time scale. This method applies to different formulations and dissolution apparatus, aiding in vitro-in vivo comparisons.

    Area of Science:

    • Pharmaceutical Sciences
    • Drug Delivery Systems
    • Physical Pharmacy

    Background:

    • Drug release profiles are crucial for understanding drug performance.
    • Dissolution curves are influenced by formulation type and experimental conditions.
    • Comparing release profiles across different settings can be challenging.

    Purpose of the Study:

    • To demonstrate that differing drug dissolution profiles can be superimposed through time base transformation.
    • To define and discuss the concept of 'equivalence' for dissolution profiles.
    • To show the applicability of the method to various formulations and dissolution apparatus.

    Main Methods:

    • Calculating statistical moments from cumulative frequency functions of drug residence times.
    • Applying a linear transformation to the time base of dissolution curves.

    Related Experiment Videos

  • Testing film-coated pellets and erosible matrix tablets in Sartorius and USP-Paddle dissolution models.
  • Main Results:

    • Differing dissolution profiles from distinct formulations and apparatus were successfully superimposed.
    • Parameters for time base transformation were derived from statistical moments of residence times.
    • The concept of dissolution profile equivalence was clearly defined and illustrated.

    Conclusions:

    • A linear time transformation method can achieve profile superimposability, simplifying dissolution profile comparison.
    • This approach is robust across different drug formulations and dissolution testing equipment.
    • The methodology is directly applicable to comparing in vitro and in vivo drug release data.