Product authenticity in foods - Development of a system for the collection, analysis and exploitation of product authenticity data in the food sector.
Sponsored by: Federal Ministry of Food and Agriculture (BMEL)
Project Manager: Federal Office for Agriculture and Food (BLE)
Duration: 09/2016 – 12/2019
Consortium: GS1 Germany GmbH, benelog GmbH & Co. KG, Bundesinstitut für Risikobewertung (BfR), Eurofins Analytik GmbH, Lablicate GmbH, Fachbereich Informatik und Informations¬wissenschaft der Universität Konstanz
The FoodAuthent project aims to document the authenticity of food using fingerprinting techniques. The planned system enables the collection and analysis of chemical “fingerprints” through collaboratively usable, cloud-based databases. Open-source data analysis methods and batch-specific product information are integrated. The project aims to develop standards, both in terms of data and processes, and envisions the integration of spectroscopic analysis methods.
To efficiently store and process data, cloud technologies are utilized. The incorporation of Electronic Product Code Information Services (EPCIS) and the Global Data Synchronization Network (GDSN) ensures comprehensive information transmission.
Goals include the application of fingerprinting analysis techniques in the food sector, creating incentives for routine use, detecting the authenticity of food (FoodRegio-Detect, FoodFraud-Detect), and enhancing analytics through direct rapid tests. The research project aims to strengthen product authenticity and build confidence throughout the entire food supply chain.