WP Leader: UCSC, Subleader UNRC



Use a systems approach to optimise the availability of knowledge to be harmonized and shared by stakeholders in different food/feed chains to generate awareness, and to provide practical customized advice. The main objective of this WP is to review, and keep the existing knowledge on mycotoxins useful for both scientists and stakeholders.

Overall objectives are:

  • 1.1 Continuously update a modern, cost-effective platform with comprehensive information for exchange between stakeholders regarding mycotoxins in maize, wheat & barley, grapes and nuts/dry-fruits.
  • 1.2 Enhance networking and scientific co-operation at European and global level with a focus on EU-China interaction.
  • 1.3 Develop/update guidelines and practical manuals to mitigate mycotoxin contamination in cereal, grape and nuts/dry fruits chain.These output are also intended as accompanying measures to legislation, strongly contributing to minimize consumer exposure.
  • 1.4 Develop a smart message system for stakeholders that enable quick and easy dissemination of news/alert messages.
  • 1.5 Provide to policy makers supporting tools to legislation in force (accompanying measures),to request of derogation (georeferenced early warning), and to rules integration/improvement(updated information/suggestions) in the perspective of establishing a European Mycotoxin Strategy.


  • Task 1.1 Plan the structure of the data to be incorporated into the ICT platform (WP7) and the project Web-site (WP8) – (UCSC, CNR, UNRC).
  • Task 1.2 Organize 4 working groups (CNR, UNRC, UCSC).
  • Task 1.3 Organize 4 Thematic Round Tables (UNRC, CNR, UCSC).
  • Task 1.4 Organize knowledge outputs/products and publication (UCSC, CNR, UNRC).
WP Leader

Prof. Paola Battilani (f)

(DIPROVES) Prof. Plant Pathology. She coordinated Wine-ochra risk in the Vth FP of EC. Field of experience: ecology and epidemiology of mycotoxin producing fungi, plant-pathogen interaction, biocontrol, food safety, system analysis and modelling plant diseases, geostatistical data analysis, development of Decision Support Systems (DSS).