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Sustained active ingredient release from drugs: statistical model for random sample assessment in vitro
H Peil1, L H von Storp, H Zacharias
1Boehringer Ingelheim KG, Ingelheim am Rhein, Federal Republic of Germany.
Journal of Pharmaceutical Sciences
|November 1, 1989
Summary
This study introduces a statistical method for calculating active ingredient release tolerances in pharmaceuticals. It uses mean and standard deviation to ensure drug product quality and consistency during manufacturing and storage.
Area of Science:
- Pharmaceutical Sciences
- Statistical Modeling
Background:
- Ensuring consistent active ingredient release from pharmaceutical dosage forms is critical for therapeutic efficacy.
- Existing methods for determining drug release tolerances may not fully account for manufacturing and storage variations.
Purpose of the Study:
- To present a standardized statistical method for calculating active ingredient release tolerances.
- To incorporate manufacturing and storage variability into the determination of drug release specifications.
Main Methods:
- Utilizes a statistical model based on mean and standard deviation to quantify drug release amount and uniformity.
- Analyzes data from clinically tested samples to account for real-world variations.
- Establishes a manufacturing standard for drug release.
Main Results:
- The proposed method provides a standardized approach to drug release tolerance determination.
- The statistical model effectively uses mean and standard deviation to define release profiles.
- Incorporation of manufacturing and storage effects leads to a robust manufacturing standard.
Conclusions:
- The presented statistical method offers a standardized and comprehensive approach to defining active ingredient release tolerances.
- Dynamic adaptation of tolerances during development is recommended for optimized pharmaceutical product quality.
- This method enhances the quality control of pharmaceutical dosage forms.