High-sensitivity MAM to support early-stage activities during biotherapeutic development
Silvia Millán-Martín1, Anna Mulligan2, Lisa Füssl1
1Characterisation and Comparability Laboratory, National Institute for Bioprocessing Research and Training, Fosters Avenue, Mount Merrion, Blackrock, Co. Dublin, A94 X099, Ireland.
A novel nano-flow liquid chromatography-tandem mass spectrometry (LC-MS/MS) multi-attribute method (MAM) offers sensitive and robust characterization of biotherapeutics. This method enables early-stage bioprocess development and quality control applications.
Area of Science:
- Biopharmaceutical Analysis
- Analytical Chemistry
- Mass Spectrometry
Background:
- Developing sensitive analytical methods for early-stage biotherapeutic development is challenging due to limited product knowledge and sample availability.
- Robust methods are crucial for candidate screening, process development, formulation, and stability studies.
Purpose of the Study:
- To present a high-sensitivity multi-attribute method (MAM) using nano-flow LC-MS/MS for characterizing monoclonal antibody (mAb)-based molecules.
- To evaluate the method's performance for detecting and quantifying product quality attributes (PQAs) and impurities.
Main Methods:
- Utilized nano-flow liquid chromatography-tandem mass spectrometry (LC-MS/MS) for high-resolution analysis.
- Employed Orbitrap-based mass detection within a CFR Part 11 compliant data system.
- Evaluated run-to-run variation, sensitivity (LOD/LOQ), and new peak detection (NPD) capabilities.
Main Results:
- Demonstrated low run-to-run variation for key analytical parameters using NISTmAb as a reference.
- Achieved high sensitivity (LOD/LOQ: 0.6-7.0 ng) for detecting low-abundance PQAs like deamidation and oxidation.
- Successfully applied the nano-flow MAM for in-process monitoring of PQAs and impurities in a chimeric IgG1 mAb.
Conclusions:
- The nano-flow MAM is a sensitive and robust approach for biotherapeutic characterization.
- The method is suitable for early-stage bioprocess development, offering potential for quality control (QC) applications.
- NPD capability aids in detecting low-level impurities during in-process testing.
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