WP4: MICROBIAL HAZARD DETECTION AND BEHAVIOUR
WP4 will focus on the implementation of novel omics method for microbiological hazard detection including the application of i) WGS as biotyping method to improve targeted microbial hazard detection, ii) metataxonomic, metagenomics and metabolomics for determining microbial dynamics and associations of the food microbiota with particular emphasis on tracing the microbial contamination source, iii) transcriptomics and volatolomics to identify biomarkers that describe and may predict microbial hazard behavior. Data and procedures of WP4 will also integrated into a DSS module dedicated to hazard detection and upgraded with the complementary data and tools provided by the SAFFI Chinese mirror project.
The aim of WP4 is the integrated and complementary application of state of the art nucleic acid sequencing methodologies for microbial hazard detection and characterization in order to establish all elements of a DSS module for microbial hazard detection (MHD DSS) and to provide predictive models of microbial behaviour.
Specific objectives include: i) Determination of the presence, distribution (in time and space) and prevalence of target foodborne pathogens throughout the 4 food chains; ii) Upgrade of predictive models by implementing omics data; iii) Integration of databases, procedures and tools for microbiological hazard detection at critical control points in the DSS module dedicated to hazard detection to be included in the WP5 DSS.
WORK PACKAGE LEADER
UNIVERSITA DEGLI STUDI DI TORINO
WORK PACKAGE DEPUTY LEADER
INSTITUT NATIONAL DE RECHERCHE POUR L'AGRICULTURE, L'ALIMENTATION ET L'ENVIRONNEMENT
YIOTIS ANONIMOS EMPORIKI & VIOMIXANIKI ETAIREIA
CREME SOFTWARE LTD
INSTITUT DE RECERCA I TECNOLOGIA AGROALIMENTARIES
HIPP-WERK GEORG HIPP OHG
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 861917