In VANDALF, the approach is to link technology-specific, but otherwise unbiased and non-targeted chemical detections (‘chemical fingerprints’) with sets of relevant toxicological endpoints (‘toxicological fingerprints’) to identify which chemicals or groups of chemicals that can explain the toxicity. This approach was put forward by Eide et al. in 2002 under the name virtual effect directed analysis (VEDA).

• To establish sampling, sample preparation, chemical analysis, and toxicology workflows that enable the identification of CECs in wastewater samples
• To establish database-driven strategies for CEC identification using non-target chemical fingerprinting and toxicology data
• To establish methods to quantify the fraction of toxicity explained by identified chemicals
• To establish multivariate statistical models that relate chemical fingerprints to toxicological endpoints to identify unknown toxicants

• Department of Plant and Environmental Sciences (PLEN), University of Copenhagen (UCPH) 
  
  • Jan H. Christensen
  • Nina Cedergreen
  • Peter E. Holm
  • Giorgio Tomasi
  • Nikoline J. Nielsen
  • Majbrit Dela Cruz
• Eurofins
  
  • Peter Mortensen
• VandCenterSyd (VCS)
  
  • Per Henrik Nielsen
• BIOFOS
  
  • Artur Mielczarek
  • Dines Thornberg
• Department of Food Science (FOOD), UCPH 
  
  • Rasmus Bro
  • Age Smilde
• Danish Environmental Portal (DEP)
  
  • Niels Høgsted
• MSC, MSCi
  
  • Tore Vulpius
• Copenhagen Municipality (KMC)
  
  • Martin Jakobsen
• Swiss Federal Institute of Aquatic Science and Technology (Eawag)
  
  • Juliane Hollender
• The Danish Environmental Protection Agency (Danish EPA)
  
  • Helle Rüsz Hansen
  • Gudrun Frandsen Krog
• Swedish University of Agricultural Sciences (SLU)
  
  • Johan Lundqvist