AI-powered foodome characterization

About

Opens for applications on 2027-04-20. A European Commission call for proposals. Expected Outcome: 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. Scope: 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 of approximately 150 food components catalogued by traditional databases. These components represent only a very small fraction of the total chemical complexity present in foods, while thousands (>100,000) of compounds and contaminants remain largely unquantified and underexplored. Understandi

Who can apply

Usually organisations in EU member states and associated countries, often in a consortium. Some calls are open to partners from other countries. Check the call conditions.

Best for

• Researchers
• NGOs
• Founders