Keynote Speakers
Peter Schoenmakers
Van’t Hoff Institute for Molecular Science (HIMS), University of Amsterdam, and Centre for Analytical Sciences
Amsterdam, The Netherlands
- Progress in analytical-separation methodology for pesticide analysis
Amadeo Fernandez Alba
University of Almería
Almeria, Spain
- Two Decades of HRMS in Pesticide Residue Analysis: From Milestones to Future Directions
News from EFSA and the EC-DG SANTE
Mónica del Águila
European Food Safety Authority (EFSA)
Parma, Italy
- News from EFSA on prospective cumulative risk assessment
Paula Medina
European Food Safety Authority (EFSA)
Parma, Italy
- The 2024 EU report on pesticide residues in food, latest updates
Martina Klarić
DG SANTE, European Commission
- Update from DG SANTE of the European Commission on pesticide residues
Themed Day on Challenging Pesticides and Matrices
Michelangelo Anastassiades
EURL SRM – European Union Reference Laboratory for Pesticide Residues in Food with Single Residue Methods, CVUA-Stuttgart
Fellbach, Germany
- 20 years retrospect of EURL-SRM activities on challenging pesticides
Sarah King
Eurofins Central Analytical Laboratory, New Orleans, USA
- Analytical Challenges of Polar Pesticides in Complex Food Matrices: Case Studies on Botanicals, Dietary Supplements and Green Coffee
Jonathan DeCenzi
NOW Foods
Bloomingdale, USA
- Streamlined sample preparation for LC-MS and GC-MS multi-pesticide residue analysis of botanicals and oils in a quality control environment
Newest Developments on Analytical Methods and QA/QC
Steven Lehotay
USDA Agricultural Research Service
Wyndmoor, USA
- The QECh*All Mega-Method is Better than the QuEChERS Method
Elisa Gredilla
European Accreditation Laboratory Committee (TN Food and Feed)
Madrid, Spain
- EA Guidelines on Accreditation of Pesticide Residues Analysis in Food and Feed
Special Session on Artificial Intelligence (AI) and Pesticide Residues
Bas van der Velden
Wageningen Food Safety Research
The Netherlands
- AI in food safety
Leah Riter
Bayer Crop Science
Chesterfield, USA
- AI & Machine learning: Driving Innovation in Regulatory Science
Henrik Hupatz
Stockholm University and Stockholm University Center for Circular and Sustainable Systems (SUCCeSS)
Stockholm, Sweden
- Making more of pesticide LC/HRMS Data: machine learning for standard-free quantification and risk-based prioritisation