Caracterizarea foodomului prin inteligență artificială

Orizont Europa

Pe scurt

Banii finanțează proiecte de cercetare și inovație care dezvoltă instrumente bazate pe inteligență artificială pentru analiza rapidă a datelor foodomice, cu scopul de a identifica, caracteriza și cuantifica substanțele chimice prezente în alimente. Fondurile acoperă activități de dezvoltare și testare a algoritmilor AI validați, construirea unei rețele europene de cercetare în domeniul food exposome și standardizarea și diseminarea rezultatelor. Pot aplica consorții formate din industrie, academie, startup-uri, IMM-uri și inițiative internaționale, iar proiectele trebuie să pornească de la nivelul TRL 5 și să atingă TRL 7 la final.

Grant per proiect

7.800.000 la 7.800.000 EUR

Buget total apel

7.800.000 EUR

Se deschide

20.04.2027

Tip de acțiune

HORIZON Innovation Actions

Eligibilitate România

Organizațiile din România pot aplica

Identificator apel

HORIZON-CL6-2027-02-FARM2FORK-08

Sursă

Portalul UE pentru finanțări (apeluri tematice)

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. 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 projectsActivities are expected to start from TRL 5 in order to achieve TRL 7 by the end of the project, see General Annex B.

General conditions1. Admissibility Conditions: Proposal page limit and layoutdescribed in Annex A and Annex E of the Horizon Europe Work Programme General Annexes.Proposal page limits and layout: described in Part B of the Application Form available in the Submission System.2. Eligible Countriesdescribed in Annex B of the Work Programme General Annexes.A number of non-EU/non-Associated Countries that are not automatically eligible for funding have made specific provisions for making funding available for their participants in Horizon Europe projects. See the information in the Horizon Europe Programme Guide.3. Other Eligible ConditionsIn line with the “restriction on control in innovation actions in critical technology areas” delineated in General Annex B of the General Annexes, entities established in an eligible country but which are directly or indirectly controlled by China or by a legal entity established in China are not eligible to participate in the action.described in Annex B of the Work Programme General Annexes.4. Financial and operational capacity and exclusiondescribed in Annex C of the Work Programme General Annexes.5a. Evaluation and award: Award criteria, scoring and thresholdsare described in Annex D of the Work Programme General Annexes.5b. Evaluation and award: Submission and evaluation processesare described in Annex F of the Work Programme General Annexes and the Online Manual.5c. Evaluation and award: Indicative timeline for evaluation and grant agreementdescribed in Annex F of the Work Programme General Annexes.6. Legal and financial set-up of the grantsThe granting authority may, up to 4 years after the end of the action, object to a transfer of ownership or to the exclusive licensing of results, as set out in the specific provision of Annex 5.described in Annex G of the Work Programme General Annexes.Specific conditions described in the [specific topic of the Work Programme] Application and evaluation forms and model grant agreement (MGA): Application form templates, the application form specific to this call is available in the Submission SystemStandard application form (HE RIA, IA)Evaluation form templates, will be used with the necessary adaptations Standard evaluation form (HE RIA, IA) GuidanceHE Programme Guide Model Grant Agreements (MGA)HE MGA Additional documents: HE Main Work Programme 2026-2027-1. General IntroductionHE Main Work Programme 2026-2027-9. Food, Bioeconomy, Natural Resources, Agriculture and EnvironmentHE Main Work Programme 2026-2027-15. General AnnexesHE Programme GuideHE Framework Programme 2021/695HE Specific Programme Decision 2021/764EU Financial Regulation 2024/2509Rules for Legal Entity Validation, LEAR Appointment and Financial Capacity AssessmentEU Grants AGA, Annotated Model Grant Agreement Funding & Tenders Portal Online Manual Funding & Tenders Portal Terms and Conditions Funding & Tenders Portal Privacy Statement

Apelul oficial

Condițiile din ghidul oficial sunt singurele care contează la depunere.

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