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EU funding (€4,997,625): Delivering an Effective, Resilient and Sustainable EU-China Food Safety Partnership Hor 22 May 2017 EU Research and Innovation programme "Horizon"

Overview

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Delivering an Effective, Resilient and Sustainable EU-China Food Safety Partnership

EU-China-Safe will mobilise resources in Europe and China to develop a cohesive partnership that will deliver a shared vision for food safety and authenticity and work towards “mutual recognition”. Comprising 15 participants from the EU and 18 from China, EU-China-Safe contains key research organisations, Government and industry needed to develop and jointly implement major advances in improving food safety and combating food fraud in the two trading blocks. EU-China-Safe will build the core components needed for a joint EU-China food safety control system comprising: control management, food legislation, food inspection, food control laboratories, and food safety and quality information, education and communication. The project will develop an EU-China Joint Laboratory Network that will achieve and demonstrate equivalency of results, and will develop a state of the art virtual laboratory, with interchangeable staff from two continents, that will be used as a “showcase” to communicate and demonstrate best practice. Innovative traceability tools will strengthen the most vulnerable supply chains. New or improved detection capabilities for chemical/microbiological hazards and food fraud will be implemented in a harmonised way across the EU-China network. Trade barriers caused by food safety and fraud issues will be analysed and recommendations of how to predict and prevent future events disseminated. The project will focus on the most commonly reported foods linked to chemical and microbiological contamination and fraud (infant formula, processed meat, fruits, vegetables, wine, honey, spices). Substantial knowledge transfer and training actions will build high-level and long-term collaboration, synergies and trust between a wide range of EU and China actors. These advances, in addition to a wider range of confidence building measures towards food safety, authenticity and transparency, will address consumer expectations and facilitate an expansion of EU- China trade.


Funded Companies:

Company name Funding amount
Advanced Research Cryptography Ltd. €296,625
Beijing Center FOR Disease Prevention AND Control €0.00
Bundesinstitut Fuer Risikobewertung €270,375
China Agricultural University €0.00
China Meat Research Center €0.00
China National Center FOR Food Safety Risk Assessment €0.00
China National Research Institute OF Food AND Fermentation Industriesco Ltd. €0.00
Chinese Academy OF Inspection & Quarantine €0.00
Cranswick Country Foods plc €120,563
Danone Asia-Pacific Management CO Ltd. €0.00
Euroquality SAS €245,750
Fera Science Ltd. €438,000
Fundacion Azti - Azti Fundazioa €136,375
Hong Kong Polytechnic University €0.00
Inner Mongolia Yili Industrial Group CO. Ltd. €0.00
Jiangsu Entry Exit Inspection AND Quarantine Bureau €0.00
Jiangsu Yurun Meat Foods CO Ltd. €0.00
JRC -Joint Research Centre- European Commission €128,188
Kleboth Jochen €196,250
Nestle R&D China Ltd. €0.00
Ningbo Academy OF Inspection AND Quarantine (Ningbo Comprehensive Service Center FOR Technical Trade Measures) €0.00
Nofima AS €435,188
Shanghai Entry-Exit Inspection Andquarantine Bureau OF THE People Ofrepublica OF China Seal €0.00
Societe DES Produits Nestle SA €0.00
Teagasc - Agriculture and Food Development Authority €342,125
The Queen's University of Belfast €903,625
Tianjin University OF Science AND Technology €0.00
United States Pharmacopeia Standard R&D AND Technical Service (Shanghai) CO Ltd. €0.00
University College Dublin, National University of Ireland, Dublin €388,938
Vysoka Skola Chemicko-Technologicka V Praze €765,000
Wageningen University €330,625
Yangtze Delta Region Institute OF Tsinghua University Zhejiang €0.00
Zhejiang Academy OF Agricultural Sciences €0.00

Source: https://cordis.europa.eu/project/id/727864

The filing refers to a past date, and does not necessarily reflect the current state.