TechTalk: Clear the noise for better chromatographic separation of GLP‑1 receptor agonists and insulin impurities
In the race to launch GLP‑1 generics and novel agonists, complex impurity analyses can directly impact your speed to market. Conventional columns often obscure peaks of critical impurities, leading to costly rework and increased regulatory scrutiny.
Join this SelectScience® TechTalk and discover new analytical tools designed to streamline your process and deliver reproducible, high-resolution separations of GLP‑1 receptor agonists (GLP-1 RAs) and insulin-related impurities – without relying on suppressive mobile‑phase additives. Michael Zagieboylo, Principal Product Manager at Waters Corporation, will share how improved resolution can accelerate method development, increase confidence in your results, and support faster time to market for your GLP-1 RA and insulin products.
Certificate of attendance
If you attend the live TechTalk, you will automatically receive a certificate of attendance, including a learning outcomes summary, for continuing education purposes.
If you view the on-demand TechTalk, you can request a certificate of attendance by emailing [email protected].
TechTalk details
- Cost: Free to attend
- Location: Online
- Duration: 20 minutes
Registration is required to secure your place. If you register but can’t attend live, you will receive a link to the on‑demand recording once it becomes available.
What will this webinar cover?
- How to gain greater resolution for your GLP-1 RA and insulin impurity analysis separations
- How to achieve up to 3x faster separations
- How to identify subtle impurities, such as single amino-acid substitutions and deamidation, beyond the detection limits of conventional reversed-phase technologies
Speaker: Michael Zagieboylo (Principal Product Manager, Waters Corporation)
Michael Zagieboylo is a Principal Product Manager at Waters Corporation whose responsibilities involve assisting in the development and commercialization of innovative reagents and chromatography-based technologies for the separation, purification, and characterization of biological molecules, focusing on peptide and protein separations.
