Integrated versatile platform for sample preparation, 2D gas chromatographic separation and Orbitrap mass spectrometric identification and quantification of (semi-)volatile organic compounds in environmental, food and biological samples

01 May 2022 → 30 April 2026
Research Foundation - Flanders (FWO)
Research disciplines
  • Natural sciences
    • Analytical separation and detection techniques
    • Environmental chemistry
  • Engineering and technology
    • Environmental technologies
  • Agricultural and food sciences
    • Agricultural plant protection
    • Food packaging, preservation and safety
Orbitrap high resolution MS trace analysis (semi-)VOCs comprehensive GCxGC separation versatile sample preparation
Project description

The understanding of the function, fate and behavior of

volatile and semi-volatile organic compounds, (semi-)VOCs,

in natural and technical environments is crucial to cope

with several challenges related to sustainable development

(SDGs) we face today in our society. Many of these

compounds are important air and water contaminants and

pose a significant threat to health and environment. They

are also defense-related secondary metabolites in plants

playing a crucial role in growth, stress tolerance and crop

yield in primary production. In food products, they serve as

early indicators for microbial spoilage or lipid oxidation

which is essential to assure safe food preservation and

avoidance of food spillage.

To gain fundamental understanding in the underlying

molecular processes, it is necessary to assure reliable

(semi-)VOCs identification and quantification in diverse and

complex matrices at (ultra-)trace concentration levels. To

push current frontiers of knowledge towards higher levels

in the envisaged multidisciplinary research, an integrated

and versatile analytical platform is needed that enables

automated and standardized sample preparation,

comprehensive two-dimensional chromatographic

separation and high resolution Orbitrap mass spectrometric

detection of (semi-)VOCs in environmental, food and

biological matrices.