Introduction to plant metabolomics

5-6 November 2009


  • Jean-Luc Wolfender, laboratoire de pharmacognosie et phytochimie, Université de Genève
  • Serge Rudaz, laboratoire de chimie analytique pharmaceutique, Université de Genève


This short course intends to provide a general overview of the analytical tools as well as the data mining mandatory in plant metabolomics. Numerous examples of different strategies and applications in modern plant biology analysis will be presented.


On a first day, the analytical tools, including non-separative approaches such as NMR and separative technique such as MS and various mode of chromatography will be presented:

  • 1. Introduction on metabolomics 
  • 2. Sample preparation
  • 3. Non-separative analytical methods : spectral techniques (NMR, IR, MS) , NMR principle,  MS low/ high resolution analysers, type of data
  • 4. Separative techniques : GC, CE and LC including rapid analysis in LC
  • 5. Hyphenation to separation techniques (MS)

Day two is dedicated to knowledge discovery and biomarker ID:

  • 6. Consideration in data analysis
  • 7. Hyphenation and identification aspect (MS and NMR)
  • 8. General strategy and examples in plant metabolomics and systems biology

Documentation (3 articles to read before the course):


general information

Dates:  5-6 November 2009

Schedule: 8.55 - 17.00

Location: University of Neuchâtel, Faculté des sciences, UniMail, building C (Animalerie), room 001

Credit points: 1.0 credit point (Research tools)

Evaluation: Active participation

Information: Please contact J.-L. Wolfender or the doctoral program coordinator Dr. Christiane Bobillier

Travel expenses: participants of the doctoral program are eligible for reimbursement of incurred travel expenses by train (half-fare card, and 2nd class). Please send the original tickets (no copies, except for the general abonnement) at the end of the term to Dr. Christiane Bobillier.  No reimbursement for bus, taxi or car travel expenses will be paid.


This course is free and open to all Ph.D. students. Postdocs are welcome depending on availability.
Basic knowledge in chromatography, spectroscopic methods and statistics would be preferable

Minimum number of participants: 15, maximum: 30. Course full.

Registration through the web only: closed

Deadline: 28 October 2009.