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 · Avrupa Birliği
20 Nisan 2027 tarihinde açılıyor
AB Ufuk Avrupa programı tarafından 1 hibe bekleniyor; proje başına €7,8 milyon; toplam bütçe €7,8 milyon. Başvurular 23 Eylül 2027 tarihinde kapanıyor (AB çağrıları genellikle Brüksel saatiyle 17:00’de kapanır). AB üye ülkelerindeki ve Türkiye gibi ortak ülkelerdeki kuruluşlar genellikle katılabilir; konu koşulları belirleyicidir.
Resmi açıklamalar fon sağlayıcının dilindedir (çoğunlukla İngilizce); bu sayfadaki özet ve temel bilgiler Türkçedir.
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).
Başvuru sahibi kategorileri yalnızca bir başlangıç noktasıdır. Uygunluğa resmi çağrı karar verir.
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).
Bu sayfadaki bilgiler resmi kaynaktan alınmıştır ve en son 14 Kasım 2026 tarihinde kontrol edilmiştir. Sonraki değişiklikler dahil, fon sağlayıcının kendi belgeleri her zaman önceliklidir.
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