Volatile organic compounds (VOCs) of human body are affected by numerous factors such as pathologies. This is why odor analysis can be a smart, non-invasive, and large-scaled way to perform health monitoring.

The goal of the current study is to understand the effects of climate change on the metabolome of hazelnuts regarding alternative post-harvest practices, as well as defects indirectly caused by global warming.

Herein, we demonstrate the use of an unsupervised feature selection algorithm to find analytes that correlate to the performance of aviation turbine fuels and kerosene-based rocket propellants.

In this presentation, we will discuss a newly redesigned high-resolution time-of-flight mass spectrometer for GCxGC-HRMS analysis.

We report a workflow to simulate GC×GC-TOFMS datasets with realistic run-to-run retention time shifting which are used to evaluate the robustness of chemometric software to shifting.

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.