Thermal Desorption Unit Gas-Chromatography

Mass Spectrometer




Applications include air monitoring, material emissions, flavours, and fragrances.


The Thermal Desorption Unit (TDU) is a flexible automated solution for thermal desorption and thermal extraction.



      • Stir Bar Sorptive Extraction (SBSE) using the GERSTEL Twister®
      • Dynamic Headspace (DHS) based on standard headspace vials
      • Air sampling onto adsorbent tubes combined with thermal desorption
      • Thermal extraction of solids placed in fritted TDU liners
      • Thermal extraction of liquid placed in μ-vials inside the TDU
      • Direct introduction and thermal extraction of liquids and standards
      • Hot Injection and Trapping (HIT), multiple HS or SPME injections for significantly improved sensitivity


Analysis for GC-MS data is supported by the following software:

  • Wiley Registry/NIST Mass Spectral Library 2023 (>1 million GC-MS Data)
  • Agilent Fiehn GC/MS Metabolomic RTL Library (800 common metabolites)
  • Agilent MassHunter
  • Agilent ChemStation
  • MassOmics
  • R
  • Python
  • ChemOffice

Access to the above software is available on the Metabolomics GC-MS Virtual Machine.


Please email Saras Green and Jin Wang for all enquiries related to the TDU GC-MS.


  • Small, volatile, and semi-volatile molecules only.

  • Generates large data and requires proper documentation, backups, and storage by the user.

  • No guarantees are provided for archiving data once collected by the user.


  • We are not an accredited lab, so any findings cannot be used as official diagnostic tools, food safety measures, or quality assurance testing.


The cost varies depending on the task and support level required, and please email Saras Green and Jin Wang for a quote.


Post-graduate Students, Doctoral Candidates, Research/Academic Staff, Collaborators (external to the University), and Commercial entities.

Access Requirements

The TDU GC-MS facility is housed on the City Campus in the Science Centre (Building 302).


Please email Saras Green and Jin Wang for training.


Trained users can book GC-MS analyses through the iLab booking system. Users and their principal investigators or research groups need to first have accounts in the iLab booking system. Instructions, details, and FAQs on how to sign up for iLab can be found on the website below: