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An Improved Impact Ratio for Identifying Critical Process Parameters in Pharmaceutical Manufacturing Processes
Jens Lamerz1, Oana Mihaela Danila2, Andreas Schuster3
1Nonclinical Biostatistics, F. Hoffmann-La Roche Ltd, Basel, Switzerland; jens.lamerz@roche.com.
Identifying critical process parameters (CPPs) in drug development is crucial for quality by design. This study introduces an improved impact ratio method for consistent and automated CPP identification in pharmaceutical manufacturing.
Area of Science:
- Pharmaceutical Science
- Process Development
- Quality by Design
Background:
- Critical process parameters (CPPs) are vital for ensuring product quality in biologics and small molecule manufacturing.
- Current methods for identifying CPPs can lack objectivity and consistency.
- Impact ratios offer a quantitative approach to assess parameter influence on critical quality attributes (CQAs).
Purpose of the Study:
- To introduce an improved, mathematically defined impact ratio for CPP identification.
- To enhance the objectivity and consistency of CPP identification procedures.
- To facilitate the standardization of CPP assessment in pharmaceutical manufacturing.
Main Methods:
- Quantifying the practical effect of a process parameter on a CQA relative to its acceptance limits.
- Utilizing a predefined impact ratio threshold to classify parameters as critical.
- Developing a mathematically robust impact ratio for consistent interpretation.
Main Results:
- The proposed impact ratio provides a consistent interpretation across various practical scenarios.
- The method demonstrates high suitability for automation in process development.
- A single, standardized impact ratio definition is achievable for pharmaceutical manufacturing.
Conclusions:
- The improved impact ratio offers a more objective and consistent method for identifying CPPs.
- This approach supports the principles of Quality by Design in pharmaceutical development.
- Standardization of impact ratio calculations can streamline regulatory processes and improve manufacturing efficiency.
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