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Published on: April 5, 2019
A Quadrupole Dalton-based multi-attribute method for product characterization, process development, and quality
Weichen Xu1, Rod Brian Jimenez1, Rachel Mowery2
1a Analytical Sciences, MedImmune , One MedImmune Way, Gaithersburg , MD USA.
A new multi-attribute method (MAM) using a Quadrupole Dalton (QDa) mass detector effectively monitors post-translational modifications (PTMs) in therapeutic monoclonal antibodies. This QC-friendly approach simplifies PTM analysis for biopharmaceutical quality control.
Area of Science:
- Biopharmaceutical analysis
- Analytical chemistry
- Protein characterization
Background:
- Therapeutic proteins undergo post-translational modifications (PTMs) during manufacturing and storage.
- PTMs like isomerization, deamidation, and oxidation can impact protein bioactivity, stability, and pharmacokinetics/pharmacodynamics, classifying them as potential critical quality attributes (pCQAs).
- Traditional methods for PTM identification and control are time-consuming and costly, hindering Quality by Design (QbD) implementation.
Purpose of the Study:
- To develop and qualify a simplified, cost-effective multi-attribute method (MAM) for monitoring PTMs in therapeutic monoclonal antibodies.
- To assess the suitability of a Quadrupole Dalton (QDa) mass detector-based MAM for quality control (QC) environments.
- To demonstrate the method's utility in product and process characterization studies.
Main Methods:
- A multi-attribute method (MAM) was developed utilizing a Quadrupole Dalton (QDa) mass detector.
- The QDa-based MAM was employed to selectively monitor and quantitate post-translational modifications (PTMs) in a therapeutic monoclonal antibody.
- The method underwent qualification according to International Conference on Harmonization (ICH) guidelines and was applied to drug substance and stability samples.
Main Results:
- The QDa-based MAM provided straightforward and automatic results for PTM monitoring.
- Evaluation demonstrated comparable results to traditional analytical assays.
- The method was successfully qualified and applied to characterize drug substance and stability samples.
Conclusions:
- The QDa-based MAM is a QC-friendly and cost-effective tool for monitoring PTMs in therapeutic monoclonal antibodies.
- This method facilitates a facile understanding of process impacts on multiple quality attributes.
- The qualified QDa-based MAM is highly useful for product and process characterization in biopharmaceutical development.
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