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Universal Study Design for Instrument Changes in Pharmaceutical Release Analytics
Anne B Ries1, Maximilian N Merkel1, Kristina Coßmann1
1Quality Control, Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riss, Germany.
Pharmaceutical quality control requires consistent analytical methods. A new instrument comparability study ensures seamless transitions between instruments, preventing costly re-validations and maintaining data integrity for release analytics.
Area of Science:
- Pharmaceutical Science
- Analytical Chemistry
- Biotechnology
Background:
- Maintaining consistent analytical method performance over decades is crucial for pharmaceutical quality control (QC).
- Instrument hardware/software updates or vendor changes challenge long-term analytical method reliability in pharmaceutical QC.
- Ensuring comparability between analytical instruments is essential for uninterrupted product release analytics.
Purpose of the Study:
- To design and implement an efficient instrument comparability study for pharmaceutical QC.
- To assess potential performance differences between analytical instruments.
- To provide a data-driven basis for risk assessment and decision-making regarding instrument transitions or updates.
Main Methods:
- A universally applicable study design involving two experiments on the new instrument.
- Generation of a statistically meaningful dataset for comparison with historical or validation data.
- Implementation in a Good Manufacturing Practice (GMP) environment using imaged capillary isoelectric focusing (icIEF) instruments (ICE3 vs. Maurice C).
Main Results:
- The study confirmed equal or superior performance of the Maurice C instrument compared to the ICE3.
- All tested parameters demonstrated comparable or improved results on the Maurice C.
- The generated data supports the continuation of release icIEF measurements on the Maurice C.
Conclusions:
- The developed instrument comparability study design is efficient and broadly applicable to release analytical methods.
- The study provides a science-based approach to manage instrument changes, potentially avoiding full re-validation.
- Seamless continuation of critical release analytics is achievable with data-backed instrument comparability assessments.
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