Mass spectrometry-based multi-attribute method in protein therapeutics product quality monitoring and quality control

• Main Authors: Feng Yang (Author), Jennifer Zhang (Author), Alexander Buettner (Author), Eva Vosika (Author), Monica Sadek (Author), Zhiqi Hao (Author), Dietmar Reusch (Author), Maximiliane Koenig (Author), Wayman Chan (Author), Anja Bathke (Author), Hilary Pallat (Author), Victor Lundin (Author), Jochen Felix Kepert (Author), Patrick Bulau (Author), Galahad Deperalta (Author), Christopher Yu (Author), Richard Beardsley (Author), Tura Camilli (Author), Reed Harris (Author), John Stults (Author)
• Format: Book
• Published: Taylor & Francis Group, 2023-12-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Summary

ABSTRACTThe multi-attribute method (MAM), a liquid chromatography-mass spectrometry (LC-MS)-based peptide mapping method, has gained increased interest and applications in the biopharmaceutical industry. MAM can, in one method, provide targeted quantitation of multiple site-specific product quality attributes, as well as new peak detection. In this review, we focus on the scientific and regulatory considerations of using MAM in product quality attribute monitoring and quality control (QC) of therapeutic proteins. We highlight MAM implementation challenges and solutions with several case studies, and provide our perspective on the opportunities to use MS in QC for applications other than standard peptide mapping-based MAM.

Item Description

10.1080/19420862.2023.2197668
1942-0870
1942-0862