The Future of Mass Spectrometry: A Virtual Symposium 2026

LCGC International presents a special one-day symposium, The Future of Mass Spectrometry: A Virtual Symposium. This symposium will explore the latest developments in mass spectrometry and feature presentations from experts from leading technology companies involved in this important field.

Register Free: https://www.chromatographyonline.com/lcgc_w/future-of-mass

Event Overview:

Join us for another successful virtual symposium exploring the future of mass spectrometry (MS) technology in practice. Technical talks from scientists at leading mass spectrometry instrument manufacturers will bring you up to date on significant developments in MS in the “real world”. These experts will explain and demonstrate the underlying advanced capabilities of mass spectrometry techniques and instruments, addressing how they can translate into performance improvements to offer increased sensitivity, greater robustness, and ease-of-use. They will also describe advances in practical applications of mass spectrometry techniques, illustrating the work with real examples and data. Sign up today!

Agenda

Morning session: 9:00 AM EDT | 2:00 PM BST | 3:00 PM CEST

9:00 am EDT High-Throughput, automated Collision Induced Unfolding Enabled by Multi-Nozzle Nano-electrospray Ionization
Michael R. Armbruster, PostDoctoral Fellow, University of Michigan

Native ion mobility–mass spectrometry (nIM-MS) and collision-induced unfolding (CIU) enable detailed analysis of protein structure and stability. Static nano-electrospray ionization (nESI) emitters are the standard approach for nIM-MS experiments but require extensive manual handling and operate at flowrates too low to accommodate many biopharmaceutical applications. Here, we combine multi-nozzle nESI (mnESI) emitters with both commercial liquid chromatography hardware and high-speed robotic sampling methods to automate sample introduction and deliver nESI-like spray at analytical flow rates, enabling fully automated nMS and CIU workflows. The automated platform is then used to classify hinge-engineered antibodies as agonistic or non-agonistic, with classification accuracy comparable to that of low-throughput static nESI.

Speaker:

Michael R. Armbruster
Post Doctoral Fellow,
University of Michigan

Register Free: https://www.chromatographyonline.com/lcgc_w/future-of-mass