Poster Presentation 11th Australian Peptide Conference 2015

Developing a robust self-optimizing MS/MS QTOF workflow for de novo verification of synthetic peptides in biopharmaceutical applications (#174)

Lucy A Woods 1 , Chensong Pan 1 , Sawyen Ow 1
  1. Bruker Pty Ltd, Preston, VIC, Australia

Bioactive peptides are common, widely used supplement products in pharma, biopharma, as well as nutritional industries. The synthesis of bioactive peptides with accurate amino acid sequences are pivotal to ensure correct biological activity; thus, methods that ensure accurate de novo verification as well as simultaneous impurity  characterization is very important. Conventional methods like HPLC-UV and HPLC-triple quadrupole and basic QqTOF techniques, while routine, lack both the ability to perform complete ‘full scan’ analysis, as well as effective retrospective analysis. Here, we present a method optimised QTOF MS system with self-adapting deep sequencing MS/MS capabilities (InstantExpertise™) that allows facile pharmaceutical product verification.

The method combines high speed self-optimized MS/MS, accurate isotopic patterns, and high mass accuracy fragment data to robustly and effectively elucidate primary peptide sequence scrambling, low abundance impurities shows method. Adapted self-optimizing MS/MS allows hands-off acquisition of deep sampling data with expert quality results.