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Communications Chemistry· 2026Q1

Rapid peptide mapping of monoclonal antibodies with direct infusion mass spectrometry

Austin Z. Salome, Marcel Morgenstern, Alexander S. Hebert, Craig D. Wenger et al.

Short summary

A new direct infusion mass spectrometry method, RaPiD-mAb-MS, accelerates monoclonal antibody peptide mapping by up to 100-fold, analyzing 96 samples in 1.5-2 hours with >95% sequence coverage.

AI-generated from the title and abstract; the full text is not read.

Key points

  • RaPiD-mAb-MS is a new direct infusion mass spectrometry method for monoclonal antibody peptide mapping.
  • The method accelerates analysis by up to 100-fold, processing 96 samples in 1.5-2 hours.
  • It achieves >95% sequence coverage and detects oxidation, deamidation, isomerization, glycosylation, and sequence variants.
  • Results are comparable to conventional LC-MS but with significantly reduced time and simplified data analysis.

AI-generated from the title and abstract; the full text is not read.

Abstract

Peptide mapping is a critical tool for characterizing biotherapeutic proteins and is essential for the development of monoclonal antibody drugs. Here we describe a new direct infusion technology that streamlines peptide mapping data collection and analysis, accelerating the method by up to 100-fold. This method, which we term RaPiD-mAb-MS, combines high-throughput plate-based sample preparation with direct infusion mass spectrometry analysis. RaPiD-mAb-MS allows analysis of 96 samples within ∼ 1.5 to 2 hours, routinely achieves >95% sequence coverage, and has been successfully applied to 28 unique antibodies and over 2,000 samples. Here we demonstrate that RaPiD-mAb-MS detects and quantifies oxidation, deamidation, isomerization, glycosylation, and sequence variants with results comparable to conventional LC-MS based methods in a fraction of the time. Further, by eliminating chromatography, data analysis is greatly streamlined and simplified. By allowing for the collection of ∼ 1,000 peptide maps per day, RaPiD-mAb-MS is positioned to accelerate all phases of antibody-based drug discovery & development and sets the stage for collection of massive datasets that would allow artificial intelligent prediction of optimal antibody variants and formulations.

The authors' abstract, as published at the source. Communications Chemistry, 2026 · DOI ↗

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Field: Spectroscopy

SpectroscopyChemistry