Detailed Work Package Descriptions
The FoodTraNet training network is organised into six Work Packages. These Work Packages optimise the synergy between research topics and stimulate knowledge exchange between beneficiaries, partners, and ESRs. Knowledge and results obtained within one WP will support or stimulate the work of the other WPs. A strong programme for complimentary training will provide ESRs with important transferable skills, while Open Science principles provide new opportunities to disseminate, share, exploit knowledge and collaborate with researchers within and outside the network.
WP1: Advanced methods for food quality, authenticity and traceability (ESRs 1, 2, 3, 5, 14)
Lead: Fondazione Edmund Mach, Centre for Research and Innovation, San Michele All'adige, Italy
Objectives: To identify biomarkers and bioactive compounds using a common platform of novel advanced MS tools including stable isotope (IRMS), target, suspect and non-target screening and MSI to assure food quality and traceability based on statistical and spatial modelling approaches.
Detail: WP1 is about exploiting the state-of-the-art including the use of cutting-edge MS techniques (IRMS, target, suspect and non-target screening and MSI) for determining quality, authenticity and traceability of food. WP1 will also establish statistical and spatial modelling approaches in food traceability systems. A particular attention will be paid to commodities labelled as “Designated Origin” and “Organic” in commodities typical for Mediterranean diet: pasta, rice (ESR1), wine (ESR3), honeybee products (ESR5) and fish (ESR14) and of high economic significance. Stable isotopes of light elements (H, C, N, O, S) together with non-traditional isotopes (S, Pb, Sr) will be used to determine geographical origin (ESR1).
The cultivation origin and differentiation of organic vs conventional farming regimes will be investigated using emerging stable isotope applications and methods such as compound-specific isotopic analysis (ESR1), novel methods such as mass spectrometry-based molecular imaging approaches (ESR3) and target and non-target molecular analysis (ESR5). Further nano-TOF-SIMS and MALDI-MSI will be applied to investigate microplastic contamination of seafood and possible changes in proteomic profiles in organ/tissue regions and its impact on human health (ESR14). This integrating approach based on the data of ESR1, ESR5 and ESR2 (WP2) together with multi-variant statistics and spatial modelling will provide a new generation of food authenticity and quality screening tools to protect customers and industry from food fraud.