Event Overview
Non-target screening of complex samples is often hampered by challenges such as co-elutions and trace-level analytes, leading to low-confidence identifications or entirely missed compounds. Traditional one-dimensional GC–MS struggles to meet the demands of intricate petrochemical, food, and biological analyses, resulting in errors, inefficiencies, and lost insights.
GC×GC–TOF MS overcomes these challenges with enhanced separation, reliable compound identification, and advanced data analysis tools. This webinar will demonstrate how GC×GC–TOF MS transforms non-target screening, with practical examples from sustainable fuel analysis, aroma profiling, and essential oil characterization.
By attending this presentation, you will:
- Discover the advantages of GC×GC and how it surpasses traditional GC in analysing complex samples.
- Explore the latest enhancements to BenchTOF2 mass spectrometers, designed to support confident trace-level identification, intuitive workflows, and reliable performance.
- Learn how intelligent data analysis tools can automatically identify key features that differentiate complex samples.
- Gain insights from real-world applications, including sustainable fuel analysis, food and beverage aroma profiling, and essential oil comparisons.
What you need to know:
Date: 11 March, 2025
Start times:
Broadcast #1: 10 am GMT (London) / 11 am CET (Paris/Berlin) / 3:30 pm IST (New Delhi) / 6 pm SGT (Singapore)
Broadcast #2: 10 am PDT (Los Angeles) / 12 pm CDT (Chicago) / 1 pm EDT (New York)
Duration: Approximately 1 hour
Presenters:

Laura McGregor
Head of SepSolve Product Group, SepSolve Analytical
Laura McGregor completed a Ph.D. in Environmental Forensics at the University of Strathclyde in 2012. Her research interests included the chemical fingerprinting of coal tar contamination using GC×GC–TOF MS. In her current role at SepSolve Analytical, she oversees marketing activities for the full product portfolio and specializes in applying GC×GC and chemometrics to challenging samples.
Sponsor:
