GCxGC for the modern laboratory: Enhancing aroma profiling and product comparison

Originally presented at Pittcon 2025

Herbs, spices, and essential oils are key ingredients in food and fragrance products, and their volatile profiles are crucial for assessing quality and differentiating brands.

Comprehensive two-dimensional gas chromatography with time-of-flight mass spectrometry (GCxGC–TOF MS) provides improved separation of such complex mixtures, by coupling two distinct separation mechanisms (e.g. by volatility and then polarity). This can deliver much greater insight into the sample composition, but the challenge of data-processing is one that some analysts find daunting. 

In this poster, we demonstrate the use of the new Smart Subtract^® tool, which incorporates machine learning principles to generate ‘subtracted’ chromatograms that highlight compositional differences between two samples, making it easy for analysts to visualise and report key findings.

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