By attending this webinar, you will learn:
- How technologies like Mass Guard can help you with challenging matrices and maintain sensitivity in over 7,000 injections.
- How you can maximize the interplay between hardware and software to take advantage of instrumentation.
Event Overview
Learn how cutting-edge mass spec technology can co-exist with stability and robustness. It doesn’t have to be a compromise.
The combination of PFAS testing, trace-level requirements, and complex mass spec applications can be intimidating. Here, we show you how you can achieve data stability in a tough matrix over thousands of injections, how to maximize software features, and how to ensure you’re fully equipped to address any future challenges related to PFAS testing.
Who should attend?
- Everyone who works in the PFAS testing field
What you need to know:
Date: 31 July, 2024
Start times:
Broadcast #1: 31 July - 10 am BST (London) / 11 am CEST (Paris/Berlin) / 2:30 pm IST (New Delhi) / 5 pm SGT (Singapore)
Broadcast #2: 31 July - 10 am PDT (Los Angeles) / 12 pm CDT (Chicago) / 1 pm EDT (New York)
Duration: Approximately 60 minutes
Presenter
Craig Butt
Senior Manager, Applied Markets, SCIEX
Craig obtained his PhD in environmental chemistry at the University of Toronto, under the co-supervision of Dr. Scott Mabury and Dr. Derek Muir (Environment Canada), where he investigated the fate of PFAS in biological systems. Craig was then an NSERC postdoctoral research fellow and research scientist at Duke University, under the guidance of Dr. Heather Stapleton. Among other interesting topics, Craig's postdoctoral research involved measuring human PFAS exposure in serum, hand wipes, and wristbands. In his 20 years of mass spectrometry experience, Craig has published 48 peer-reviewed manuscripts, many of which are on PFAS, are globally recognized, and are highly cited. Within SCIEX, Craig is the applications lead for all things PFAS and has contributed to a variety of PFAS-specific applications, including EPA Methods 537.1 and 533.
Sponsored By:
