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VITAL - Validation of innovative tools to assess and improve microbiological safety in the food chain - EITFOOD Inn - cod. 20188

Progetto
Conven onal microbiological tes ng takes me to get results. This impacts the supply chain, causing delays to get to market whilst results come back on finished but not shipped goods. Rapid methods solve this problem, but they need to be proven to work as well as the standard microbiological methods that they replace. Proving these rapid methods work just as well, requires them to be tested in mul ple food matrices. This is me-consuming, expensive and slows down adop on. Export to PDF Back to List Innovation 2.8 Connected and Transparent Systems (SO3) Solution Push AI can solve this problem. An algorithm comparing historical standard microbiological tests against the rapid method tests will be created and this will allow food companies to radically reduce the number of verifying tests they will need to do, to ensure the rapid method works in their food matrix of interest. Salmonella spp. will be targeted because it is poses a severe threat to mul ple food products. In the following phase, we will compare the recommended test plan from the AI to a real-life ISO verifica on for 2 new products, done in the lab first and then in a food factory.
  • Dati Generali
  • Aree Di Ricerca

Dati Generali

Partecipanti

COCOLIN Luca Simone   Responsabile scientifico  

Referenti

GHIAZZA Mara   Amministrativo  

Dipartimenti coinvolti

SCIENZE AGRARIE, FORESTALI E ALIMENTARI   Principale  

Tipo

H2020 Knowledge and Innovation Communities (EIT-KIC)

Finanziatore

EUROPEAN COMMISSION
Ente Finanziatore

Capofila

Università degli Studi di TORINO

Partner (3)

AI TALENTUM - Artificial Intelligence Talentum
PepsiCo
SwissDeCode

Contributo Totale (assegnato) Ateneo (EURO)

147.350€

Periodo di attività

Gennaio 1, 2020 - Dicembre 31, 2020

Durata progetto

12 mesi

Aree Di Ricerca

Settori (2)


LS9_11 - Biohazards, biological containment, biosafety, biosecurity - (2013)

LS9_6 - Food sciences - (2013)

Parole chiave (4)

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  • decrescente
Big Data/AI/Blockchain
Digital technologies / sensing / monitoring
Food quality / safety / traceability
Public health
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