During the manufacturing process of mAbs, they are subjected to multiple post-translational modifications (PTMs) such as deamidation, oxidation, isomerization, and clipping. The multi-attribute method (MAM) based on LC-MS has emerged as a powerful technique to directly monitor multiple product quality attributes (PQAs) of mAbs simultaneously, while also aligning with “quality by design” (QbD) principles. One of the challenges with the implementation of MAM relates to the variability of sample preparation methods such as protein denaturation, reduction, alkylation, tryptic digestion, and SPE-based sample cleanup. To address this variability, sample preparation has been performed using the Andrew+ Robot, leading to reduced preparation-to-preparation variability.
In this webinar, you will learn how to:
• Create automated sample preparation methods using OneLab Software prior to LC-MS studies of mAbs.
• Leverage the OneLab Online Protocol Library to access automated sample preparation methods to support LC-MS studies of mAbs.
• Accelerate peptide mapping and glycan profiling studies of mAbs while improving reproducibility using the Andrew+ Robot.
