Neutral-Atom Platform Technologies
This action aims to establish European leadership in neutral-atom quantum simulation and digital quantum computing by delivering: • Fully programmable industry-ready quan…
Horizon Europe · Europäische Union
Öffnet am 20. April 2027
Das EU-Programm Horizon Europe plant 1 Förderungen mit 7,8 Mio. € pro Projekt bei einem Gesamtbudget von 7,8 Mio. €. Die Einreichungsfrist endet am 23. September 2027 (EU-Ausschreibungen enden meist um 17:00 Uhr Brüsseler Zeit). Organisationen aus EU-Mitgliedstaaten und assoziierten Ländern wie der Türkei können in der Regel teilnehmen; maßgeblich sind die Bedingungen des Topics.
Offizielle Ausschreibung öffnen ↗ Frist zum Kalender hinzufügen
Die offiziellen Beschreibungen sind in der Sprache des Fördergebers (meist Englisch); Zusammenfassung und Eckdaten auf dieser Seite sind auf Deutsch.
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 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. Understanding this “nutrient dark matter” would require identifying, cataloguing and quantifying the full spectrum of substances present in our food and present in accessible, AI-ready databases. The need for such information is today a bottleneck to make the nutrition field predictive and data driven, and has the potential to make food processing more efficient in bringing new foods items on the market. Efforts to create such datasets are underway but owing to the quantity of samples (hundreds of thousands of compounds across thousands of foods), such databases often rely on high-throughput experimental methods which do not allow a precise characterisation of the molecules identified.
Proposals should address the following activities:
• develop and test validated AI algorithms capable of interpreting and annotating high-throughput foodomics data, for instance from untargeted mass-spectrometry or nuclear magnetic resonance;
• the AI algorithms should be capable to predict or infer the presence and concentration of compounds based on (incomplete) foodomics data via innovative approaches, for instance by considering phylogenic relationships between species. Moreover, this should help identify analytical methods and potential food safety hazards based on their similarity to known compounds;
• develop a European research and innovation network between Member States and Associated Countries in food exposome research to support the development, standardization, valorisation and dissemination of the AI results and considering existing initiatives such as the Centre for Excellence in the Periodic Table of Food Initiative from Wageningen University.
The multi-actor approach is encouraged. Proposals should include industry in the consortia and academia, startups, SMEs and international initiatives. Collaboration with international partners is encouraged as well as with existing private companies in the EU/Associated countries.
Technology Readiness Level - Technology readiness level expected from completed projects
Activities are expected to start from TRL 5 in order to achieve TRL 7 by the end of the project – see General Annex B.
Consortium of at least 3 independent legal entities from 3 different EU Member States or associated countries, at least one in a Member State (Horizon Europe standard rule).
Antragstellerkategorien sind nur ein Ausgangspunkt. Über die Antragsberechtigung entscheidet die offizielle Ausschreibung.
Analytical chemistry Applied and industrial chemistry Artificial intelligence Biochemical research methods Biochemistry and molecular biology Organic chemistry AI Food safety Foodomics Machine learning Mass spectrometry Metabolomics Nuclear Magnetic Resonance Nutrition Omics
Single-stage call. Next deadline 2027-09-23. The portal states the exact cut-off time (EU calls usually close at 17:00 Brussels time).
EU-Leitfaden zur Antragstellung lesen
Offizielle Ausschreibungsseite
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