ACS Fall 2025

Co-Chaired By:
Christina Kelly, Applications Chemist, LECO Corporation
Petr Vozka, Assistant Professor of Chemistry, California State University
Kate Perrault Uptmor, Assistant Professor of Chemistry, William & Mary

Advances in technology, like multidimensional gas chromatography (MDGC), which evolved from one-dimensional chromatography, have gained recognition for their power to solve the separation challenge encountered with nontargeted profiling of complex mixtures. This symposium contains over 20 presentations from academia and industry on chemical characterization using MDGC, addressing a wide variety of topics including Sample Preparation, Method Development, Detectors and Modulators, and Advanced Data Processing.

Don’t miss Christina Kelly’s Oral Presentation at 9:25 am!
Developing Routine GCxGC Workflows for Characterization of Alternative Aviation Fuels
DAY & TIME OF PRESENTATION: Wednesday, August 20, 2025 from 9:45 AM – 10:05 AM
ROOM & LOCATION: Potomac Salon 1

Comprehensive multidimensional gas chromatography as a technique continues to mature from research-based focuses to more routine workflows. This is particularly evident in the petrochemical space, where new GCxGC methods are being considered for adoption in routine evaluation of emerging aviation fuel types. With the wealth of data provided not only enhancing hydrocarbon group-type analysis, but also revealing more detailed speciation of aromatic and heteroatomic compounds, GCxGC is an attractive alternative to more time-consuming single-dimension GC analysis. However, development of routine GCxGC methods can be challenging, especially when small variations in column lengths and setup can have seemingly large impacts on reproducibility of chromatographic results when translating a GCxGC method from research lab conditions to more routine quality control situations, and when there may also be differences in modulator or detector type. This presentation focuses on showcasing tools that help evaluate GCxGC separations on a variety of instrumentation types to ensure fit-for-purpose chromatography and enhance approaches to group-type classification templates that make it easier to replicate analyses from instrument-to-instrument or lab-to-lab. In addition, results of aviation fuel analysis obtained from software packages that handle statistics-oriented batch processing and comparative multi-sample analyses as the first step to identifying analytes of interest that may require routine monitoring will also be shown.