Glycan Analysis Overview, Method Optimization, and Analysis by HPLC
Glycan Analysis Overview, Method Optimization, and Analysis by HPLC
Current paradigms for drug discovery rely heavily on the quick and effective separation of complex biomolecules. Specifically, a post-translational modification known as glycosylation, which involves adding sugar molecules to proteins, has the potential to significantly alter the structure and function of proteins. Historically, it has been difficult to select the appropriate platform for high-resolution analysis of complex N-linked glycans.
We will talk about current strategies for glycan examination of biotherapeutics by HPLC. The introduction of robust method best practices is planned. Method development strategies, including gradient and mobile phase optimization, will be discussed for resolving critical pairs. In addition, we will investigate strategies for increasing glycan resolution and separation.
Presenter: Mohit Patel (Application Engineer, Agilent Technologies, Inc.)
Mohit Patel is part of the CSD Online AE Team. His primary focus is to support SMLC, Bio-Columns, and consumables.
Before joining Agilent, Mohit was an Assistant Professor of Chemistry at Temple University. Mohit developed his passion for science through his experiences as a faculty researcher and a mentor. Mohit actively taught, developed curriculum, and served as senior personnel, with a leadership position, on funded grants, mentored research projects, and co-coordinator of STEAM related outreach services.
Mohit has earned a Doctorate degree in Chemistry from Temple University in 2016.