KULEuven

KULEuven

The 3-day workshop took place on February 5th-7th 2024 at the premises of KU Leuven, Belgium.

The training school included the following sections:

• Introductory lecture by Prof. Bart Nicolai
• DLectures on VOC analysis: sampling procedures, introduction to the principles of GC-MS and SIFT-MS, description of case studies (SPME-GC-MS, TDU-GC-MS, SIFT-MS)
• Lectures on the use of advanced statistical tools for (i) optimal experimental design to optimize VOC analysis protocols and (ii) multivariate statistics to analyze VOC data.
• Hands on practice on (i) SPME-GC-MS, (ii) TDU-GC-MS, (iii) SIFT-MS
• Hands-on practice on (i) design of experiments and (ii) multivariate statistics.

Speakers of the workshop:

• An introduction to optimal design of experiments Peter Goos, KU Leuven, BIOSYST-MeBioS
• Multivariate statistics: an introduction Bart De Ketelaere, KU Leuven, BIOSYST-MeBioS, Belgium
• Sampling techniques for aroma analysis Joeri Vercammen, IS-X, Belgium
• An introduction to GC-MS and SIFT-MS Maarten Hertog, KU Leuven, BIOSYST-MeBioS, Belgium
• SIFTing through tomato flavor: Prediction of tomato overall liking Amina Benchennouf, KU Leuven, BIOSYST-MeBioS, Belgium
• Detection of false codling moth infestation in citrus using TD-SIFT-MS Cecilia Cardinez, KU Leuven, BIOSYST-MeBioS, Belgium
• Multivariate statistics in VOC measurements Matthias Corion, KU Leuven, BIOSYST-MeBioS, Belgium

Practical sessions

• Hands on practice with SIFT-MS
  Instructors: Tessa Vanempten & Cecilia Cardinez, KU Leuven, BIOSYST-MeBioS This hands-on training guided the trainees through the steps involved in setting up and fine-tuning experiments. Learning outcomes included the handling and preparation of samples for optimal VOC extraction and knowledge acquisition in the principles and technical aspects linked to SIFT-MS technology.


• Hands on practice on SPME-GCMS and TDU-GCMS
  Instructor: Elfie Dekempeneer, KU Leuven, BIOSYST-MeBioS This hands-on training guided the trainees in practical insights in the world of HS-GCMS. An array of different aspects that need to be considered for an optimal working GCMS system were addressed. Special attention was given into parameters which have influence on optimizing a HS-SPME_GCMS protocol.