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A Proposal for an Alternative Approach to Particle Size Method Development During Early-Stage Small Molecule
John F Gamble1, Neil Dawson2, Dean Murphy3
1Bristol-Myers Squibb, Reeds Lane, Moreton, Wirral CH46 1QW, UK.
Defining particle size measurement accuracy is challenging due to variations in methods and instruments. This study proposes using "appropriateness" linked to critical quality attributes (CQA) instead of accuracy for better material characterization.
Area of Science:
- Pharmaceutical Science
- Analytical Chemistry
- Materials Science
Background:
- Particle size analysis is crucial in pharmaceuticals, but defining measurement accuracy is problematic.
- Variations in measurement techniques, instruments, and calculations prevent a universal "true" particle size value.
- Current reliance on accuracy for particle size characterization is scientifically questionable.
Purpose of the Study:
- To propose a new framework for evaluating particle size measurements in the pharmaceutical industry.
- To introduce the concept of "appropriateness" as a replacement for "accuracy" in particle size analysis.
- To link particle size measurement validity to critical quality attributes (CQA) of the material.
Main Methods:
- Conceptual framework development for "appropriateness" in particle size measurement.
- Establishing the link between particle size measurement and CQAs.
- Assessing the role of precision in discriminating CQA variations.
Main Results:
- Accuracy is not a definable characteristic for real particles due to inherent measurement variability.
- "Appropriateness" of a measurement should be defined by its relevance to the material's CQAs.
- Demonstrating correlation between measured particle size and CQAs is essential for defining a critical material attribute.
Conclusions:
- Particle size measurement "appropriateness" should be prioritized over "accuracy" in pharmaceutical applications.
- Linking measurements to CQAs ensures the relevance and utility of particle size data.
- Methods must provide sufficient precision to detect meaningful variations related to CQAs.
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