High-sensitivity MAM to support early-stage activities during biotherapeutic development

24 December 2025, Version 1
This content is an early or alternative research output and has not been peer-reviewed by Cambridge University Press at the time of posting.

Abstract

During early-stage biotherapeutic development, analytical methods play an important role in candidate screening, process development, formulation screening and stability determination. However, developing sensitive and robust analytical methods is challenging in the early stages as there is often insufficient product knowledge and limited sample amount. Here we present a high-sensitivity multi-attribute method (MAM) centred on nano-flow LC-MS/MS for the characterisation of mAb-based molecules. Using NISTmAb as a reference, run-to-run variation was examined, in terms of peak area, peak width, peak asymmetry, retention time precision, and mass accuracy. The ability to detect and quantify commonly observed product quality attributes (PQAs) was also evaluated for a wide range of injected digest amounts from 1 ng to 100 ng. LOD and LOQ were between 0.6 to 7.0 ng of injected protein amount (R² > 0.99), for a selection of low abundant PQAs including deamidation, oxidation, succinimide, and lysine content, following regulatory considerations on the implementation of MAM in QC. The nano-flow MAM approach was then applied as an in-process test to study PQAs and impurities of a chimeric IgG1 mAb. Low amounts of samples were digested followed by high resolution nano-LC-MS, Orbitrap-based mass detection, operated within a Code of Federal Regulations (CFR) Part 11 compliant data system for data acquisition and data analysis. Finally, the new peak detection (NPD) aspect of the method was also evaluated, as an in-process test for detection of low-level impurities. The results highlight the potential of nano-flow MAM for early-stage process development and its suitability for QC applications.

Keywords

Multi-attribute method
nano-flow LC-MS
peptide mapping
critical quality attributes
new peak detection

Supplementary materials

Title
Description
Actions
Title
Supporting Information
Description
Additional data including search parameters and method performance data.
Actions

Comments

Comments are not moderated before they are posted, but they can be removed by the site moderators if they are found to be in contravention of our Commenting and Discussion Policy [opens in a new tab] - please read this policy before you post. Comments should be used for scholarly discussion of the content in question. You can find more information about how to use the commenting feature here [opens in a new tab] .
This site is protected by reCAPTCHA and the Google Privacy Policy [opens in a new tab] and Terms of Service [opens in a new tab] apply.