Simplifying Complexity in GLP-1 Receptor Agonist Analysis: From Structural Characterization to Impurity Monitoring
GLP-1 receptor agonists are among the most impactful peptide therapeutics, but their structural complexity presents significant analytical challenges. From sequence modifications to lipidation and manufacturing variability, achieving confident characterization requires advanced approaches.
Join us to learn how a streamlined LC-MS workflow can simplify GLP-1 analysis. This session will highlight integrated strategies combining UHPLC separation, high-resolution mass spectrometry, and automated data analysis to support robust characterization and impurity monitoring of peptides such as semaglutide and tirzepatide.
What You Will Learn
- How to optimize LC-MS workflows for comprehensive GLP-1 peptide characterization
- Practical strategies for improving separation of closely related peptide species
- Approaches to enhance sequence coverage using advanced fragmentation techniques
- Methods for confident impurity profiling and structural heterogeneity assessment
Secure your spot today and gain practical insights to simplify complex GLP-1 analysis.
Presenter: Dr. Sara Carillo (Bioanalytical Research Lead, NIBRT)
Dr. Carillo specializes in structural characterization of complex biomolecules using mass spectrometry and NMR. At NIBRT, she develops advanced analytical strategies to better understand biomanufacturing processes and the structural complexity of biopharmaceuticals.
Presenter: Dr. Kai Sheffler (Senior Manager, Product Manager for BioPharma Workflows, Thermo Fisher Scientific)
Dr. Scheffler is a biochemist specializing in LC-MS technologies for biopharmaceutical analysis. His expertise includes peptide mapping, intact mass analysis, and impurity profiling using HRAM MS. He focuses on developing LC-MS solutions for comprehensive characterization and quality assessment of biopharmaceuticals.
Moderator: Dr. Kelly Broster (Sr Manager, Market Development & Collaborations, Pharma Biopharma, Thermo Fisher Scientific)
