Sampling body odor for healthcare monitoring: Control influential factors (Elsa Boudard, MDCW 2023)
GCMSPresentation | Video

Sampling body odor for healthcare monitoring: Control influential factors (Elsa Boudard, MDCW 2023)

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.
Sampling body odor for healthcare monitoring: Control influential factors (Elsa Boudard, MDCW 2023)
15th MDCW 2024 (Preliminary Program)
GCMSLCMSArticle | Events

15th MDCW 2024 (Preliminary Program)

We bring you the preliminary program of the 15th Multidimensional Chromatography (MDC) Workshop, which will take place on January 10-12, 2024 in Los Angeles (USA).
15th MDCW 2024 (Preliminary Program)
Food metabolomics by GC×GC-TOF MS & tandem ionization: Crops quality (Nemanja Koljančić, MDCW 2023)
GCMSPresentation | Video

Food metabolomics by GC×GC-TOF MS & tandem ionization: Crops quality (Nemanja Koljančić, MDCW 2023)

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.
Food metabolomics by GC×GC-TOF MS & tandem ionization: Crops quality (Nemanja Koljančić, MDCW 2023)
Differences between aerospace fuels by GCxGC-TOF MS & chemometrics (Caitlin Cain, MDCW 2023)
GCMSPresentation | Video

Differences between aerospace fuels by GCxGC-TOF MS & chemometrics (Caitlin Cain, MDCW 2023)

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.
Differences between aerospace fuels by GCxGC-TOF MS & chemometrics (Caitlin Cain, MDCW 2023)
A new generation high resolution MS for GC×GC analysis (John Dane, MDCW 2023)
GCMSPresentation | Video

A new generation high resolution MS for GC×GC analysis (John Dane, MDCW 2023)

In this presentation, we will discuss a newly redesigned high-resolution time-of-flight mass spectrometer for GCxGC-HRMS analysis.
A new generation high resolution MS for GC×GC analysis (John Dane, MDCW 2023)
Simulating GC×GC-TOFMS data & the robustness of chemometric software (Timothy Trinklein, MDCW 2023)
GCMSPresentation | Video

Simulating GC×GC-TOFMS data & the robustness of chemometric software (Timothy Trinklein, MDCW 2023)

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.
Simulating GC×GC-TOFMS data & the robustness of chemometric software (Timothy Trinklein, MDCW 2023)
Modular simulation of complex gas chromatographic systems (Jan Leppert, MDCW 2023)
GCMSPresentation | Video

Modular simulation of complex gas chromatographic systems (Jan Leppert, MDCW 2023)

A modular simulation for complex gas chromatographic systems based on GasChromatographySimulator.jl is presented.
Modular simulation of complex gas chromatographic systems (Jan Leppert, MDCW 2023)
Renewable gases exploration by TD-GC×GC-TOFMS (Agathe Legendre, MDCW 2023)
GCMSPresentation | Video

Renewable gases exploration by TD-GC×GC-TOFMS (Agathe Legendre, MDCW 2023)

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.
Renewable gases exploration by TD-GC×GC-TOFMS (Agathe Legendre, MDCW 2023)
Untargeted determination of cycling yeast metabolites by GCxGC-TOF MS (Lina Mikaliunaite, MDCW 2023)
GCMSPresentation | Video

Untargeted determination of cycling yeast metabolites by GCxGC-TOF MS (Lina Mikaliunaite, MDCW 2023)

A computational method for the untargeted determination of cycling yeast metabolites using a comprehensive GC×GC-TOFMS dataset was developed.
Untargeted determination of cycling yeast metabolites by GCxGC-TOF MS (Lina Mikaliunaite, MDCW 2023)
Auto alignment for quantitative pairwise differencing of 2D data (Daniel Geschwender, MDCW 2023)
GCMSLCMSPresentation | Video

Auto alignment for quantitative pairwise differencing of 2D data (Daniel Geschwender, MDCW 2023)

The technique for automated comparative analysis of chromatograms across different samples as well as across different detectors using the same sample is demonstrated.
Auto alignment for quantitative pairwise differencing of 2D data (Daniel Geschwender, MDCW 2023)