ecTOF: Advancing Metabolomics with Next‑Generation GC‑HRMS and Dual EI+CI Insight
Decoding Metabolic Responses in Complex Biology
Join us for our latest webinar introducing ecTOF for life sciences applications. This next‑generation GC‑MS platform is designed to expand metabolite coverage and improve unknown annotation in complex samples.
Most GC‑MS systems force you to pick between EI (great fragmentation, sometimes ambiguous IDs) and CI (better molecular ion, complementary information). The ecTOF acquires EI and CI data simultaneously in a single analysis, giving you more mass spectrometric evidence for each compound without extra runs or compromises.
What this means for your lab:
- Detect more metabolites including those missed by EI‑only
- Increase confidence in spectral library matches and annotations
- Reduce false positives and speed up unknown triage
- Boost throughput with richer data per injection
In this webinar, our esteemed speakers Dr. Volker Behrends and Dr. Sonja Klee will show how GC-MS-based profiling including novel ecTOF-based analysis was applied to assess the impact of MRSA infection on host central carbon metabolism with or without treatment.
We’ll walk through how GC-MS and specifically the ecTOF helps characterize metabolite shifts in a challenging cell model (A549 cells infected with S. aureus USA300 LAC and treated with different drugs), showing how EI+CI improves identification confidence and expands the detectable chemical space. The same principles and workflows apply broadly to host–pathogen studies, drug metabolism, toxicology, and systems biology.
Discover how in even complex samples, ecTOF’s parallel EI+CI data enables clearer annotations and deeper biological interpretation.
Key Learning Objectives
- How dual EI+CI in one run increases metabolite coverage and improves unknown identification
- Practical ways to reduce ambiguity in spectral matching and raise confidence in annotations
- How ecTOF integrates with existing GC methods, with no need to choose between EI or CI
- Real‑world results from complex biological samples, with takeaways that translate to any GC‑MS metabolomics workflow
Who Should Attend
- Life science researchers investigating complex molecular mechanisms in biological context
- Metabolomics researchers expanding beyond targeted panel measurements
- Exposomics and environmental health scientists mapping biological responses to broad and potentially undiscovered chemical stimuli.
- Toxicology, food, and fragrance labs seeking broader chemical coverage
- Core facilities & omics method developers modernizing GC‑MS capability
- LC‑MS users who want complementary coverage for better coverage of the metabolome
Presenter: Dr. Volker Behrends, Ph.D., Associate Professor of Microbial Metabolism, School of Medicine and Biosciences, University of West London, London, UK
Dr. Volker Behrends is Associate Professor of Microbial Metabolism in the School of Medicine and Biosciences at the University of West London. His research focuses on how bacterial pathogens remodel host environments, using GC-MS–based metabolomics to track metabolite dynamics during infection. His group integrates microbial physiology with quantitative metabolomics to map metabolic fluxes and investigate how repurposed drugs alter pathogen behavior and host–pathogen interactions.
Presenter: Dr. Sonja Klee, Product Manager ecTOF, TOFWERK, Thun, Switzerland
Dr .Sonja Klee is the product manager for the ecTOF platform at TOFWERK AG in Thun, Switzerland. She obtained her Ph.D. in physical chemistry from the University of Wuppertal. She was awarded a Wolfgang Pauli Study Award from the DGMS and was a Marie Curie Fellow at the CLOUD TRAIN network at CERN. She is a board member of the Swiss Group Mass Spectrometry (DGMS) and a member of the steering committee for BP4NTA (BestPractice4NonTargetAnalysis) working group.
