Revolutionize your GC/MS analysis with the power of hydrogen carrier gas and AI technology – Faster, More Reliable and Efficient Results Guaranteed!
In response to the problems laboratories have had with helium shortages, a holistic solution was developed for predictable transition of GC/MS analysis to hydrogen carrier gas. This presentation provides an overview of several successful hydrogen implementations, including pesticides, volatile organics (VOAs), semivolatiles (SVOCs), polycyclic aromatic hydrocarbons (PAHs), flavors and fragrances (F&F), and explosives.
New MassHunter with AI Peak Detection will revolutionize how labs operate by dramatically reducing turnaround time and providing globally consistent and accurate peak analysis using the latest in AI/machine learning. The new product will be announced at ASMS 2023 for subsequent release to GC/MS labs to begin using AI/machine learning to assist, automate, and accelerate their data analysis.
Presenter: Anastasia A. Andrianova (GC/MS Application Scientist, Agilent Technologies, Inc.)
Anastasia Andrianova is a GC/MS Applications Scientist in the Mass Spectrometry Division of Agilent Technologies, located in Wilmington, Delaware. She received a Ph.D. in analytical chemistry from the University of North Dakota (Grand Forks) in 2017 and a combined masters’ and bachelor’s degree in analytical chemistry from the Moscow State University (Moscow, Russia) in 2014. Anastasia has been at Agilent Technologies since 2018. She has authored or co-authored over 30 journal articles and application notes, as well as 1 patent in the field of analytical chemistry, focusing on chromatography and mass spectrometry. Anastasia is currently working in GC/MS applications in multiple areas with a focus on food and environmental analysis.
Presenter: Thomas Bispham (Analytical AI/Machine Learning, Agilent Technologies, Inc.)
