Enhanced GC-MS Workflow Solutions

With ever-increasing demands on your time, labor, and resources, optimizing your workflow is essential. Learn best approaches from GC-TOFMS experts to enhance your one- and two-dimensional gas chromatography applications (GC-MS and GCxGC-MS) in this webinar.

This webinar provides a comprehensive overview of enhanced GC-MS workflows, focusing on how modern instrumentation and data processing tools can improve analytical efficiency, accuracy, and insight. Introduced by LECO’s Alan Griffiths, the session highlights the integration of GCxGC (comprehensive two-dimensional gas chromatography), time-of-flight mass spectrometry (TOF-MS), and advanced software platforms to address complex analytical challenges. A major theme is the need to optimize both hardware and software components to transform complex sample data into actionable information, supporting applications ranging from routine quality control to advanced non-targeted analysis.

A key portion of the webinar addresses the transition from helium to hydrogen as a carrier gas in GC workflows. Driven by rising helium costs and supply concerns, hydrogen offers significant advantages, including faster run times, lower operational costs, and increased sample throughput. The presentation demonstrates that method transfer from helium to hydrogen can be achieved with minimal loss in chromatographic resolution, while maintaining strong mass spectral quality, library matching, and quantitative performance. Case studies such as environmental water analysis and essential oil quality control illustrate how laboratories can achieve comparable analytical results with dramatically reduced analysis times, often improving efficiency by a factor of two to four.

The webinar also showcases the role of advanced data processing tools—such as ChromaTOF Sync and Tile—in extracting meaningful insights from complex datasets. Through applications including wine fault detection, aroma profiling, spice characterization, and food authenticity testing, the presenters demonstrate how deconvolution, statistical analysis (e.g., PCA), and feature comparison enable identification of subtle differences across samples. Additional examples using high-resolution GCxGC-TOF-MS highlight non-targeted screening and retrospective analysis of complex matrices like dust, revealing pollutants and trace compounds with high confidence. Overall, the session emphasizes that combining high-performance separations with intelligent data analysis enables more efficient workflows, deeper insights, and improved decision-making across a wide range of analytical applications.