A modular simulation for complex gas chromatographic systems based on GasChromatographySimulator.jl is presented.

TD-GCxGC-ToFMS method with optimized cryogenic modulation system was developed to map volatile organic impurities and to compare detailed composition of biosourced renewable gases.

A computational method for the untargeted determination of cycling yeast metabolites using a comprehensive GC×GC-TOFMS dataset was developed.

The technique for automated comparative analysis of chromatograms across different samples as well as across different detectors using the same sample is demonstrated.

Prototype flow-modulated GCxGC-TOFMS/FID equipped with a novel splitter and peak alignment algorithm was used for more accurate group-type quantitation of hydrocarbons.

Here we are employing the non-destructive sampling of bananas, along with pulp analysis using thermal desorption and SPME sampling to monitor the ripening process of bananas.

TD-GC×GC-TOFMS technique was used to characterize automotive materials emissions and their impact on Vehicle Interior Air Quality (VIAQ).

LC-GC×GC-TOF MS/FID is a powerful multidimensional analytical method for automated and reliable characterization of complex samples. Overview of the technique and application to mineral oil analysis in food.

Bidimensional gas chromatography (GC×GC) coupled to TOF MS and supported by soft ionization has been exploited for the characterization of volatile and semi-volatile compounds in catalytic pyrolysis wood oil.

We will showcase thermal desorption for diverse emissions sampling, enhancing chemical fingerprinting when combined with GC×GC–TOF MS and advanced chemometric analysis.