Call 02 - single stage (2027) · AI-powered foodome characterization

Project results are expected to contribute to all the following expected outcomes: • an Artificial Intelligence (AI) tool able to accelerate the analysis of complex foodomics data to speed up the identification, structural characterisation, and quantification of chemicals present in food; • improving capacity and synergies in foodomics research between academia, research infrastructures and industry.

Through food and beverages, the population is exposed to an immense variety of chemicals (as contaminants and as ingredients). The "foodome" is the complete set of compounds present in a food sample at a given time; it includes both endogenous biomolecules (produced through a species' metabolic processes) and exogenous compounds (natural and synthetic substances from production, processing, handling, and packaging). The current knowledge is largely confined to a narrow set…