A diamond in the rough: Fundamentals and strategies for using porous graphitic carbon columns

Porous graphitic carbon (PGC) is a carbon-based particle with unique physical and chromatographic properties, which silica-based particle packed columns cannot provide.

In this webinar, join Clinton Corman, senior scientist at MilliporeSigma, as he discusses the fundamentals, troubleshooting, and method development aspects of using porous graphitic carbon in analytical chromatography assays. Corman will explore tips and tricks that will be further reinforced through application examples across a broad range of compound classes.

Key learning objectives

• Explore the properties of PGC particles and what benefits they provide chromatographers
• Understand the retention mechanisms that PGC particles exhibit and how to control them
• Learn more about the parameters to control when developing and troubleshooting HPLC assays using PGC columns

Who should attend?

• R&D scientists/method developers
• R&D supervisors/managers
• QC scientists
• QC managers

Presenter: Clinton Corman (Senior Scientist in the HPLC and Instrumental Analytics R&D group, MilliporeSigma)

Clinton Corman (Clint) is a Senior Scientist in the HPLC and Instrumental Analytics R&D group for MilliporeSigma, in Bellefonte, Pennsylvania. Clint first joined the company in 2014 as a synthetic chemist to support the production of capillary gas chromatography columns. In 2019 he moved to the HPLC and Instrumental Analytics R&D team where he currently resides. Clint’s current role with MilliporeSigma is to research and develop new technologies for HPLC and UHPLC separations as well as developing methods for both small and large molecule separations.

Presenter: Carrie Haslam (SelectScience)

Dr. Carrie Haslam is an Associate Editor at SelectScience, playing a key role in content production and specializing in Materials Science, Alzheimer’s disease and Clinical Diagnostics. Carrie completed a Ph.D. from The University of Plymouth, where she developed graphene-based biosensors for the early diagnosis of Alzheimer’s disease.