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Ultra-compact, low-cost plasmo-photonic bimodal multiplexing sensor platforms as part of a holistic solution for food quality monitoring

Project description

Innovative solution set to detect contaminants in fruit and vegetable value chains

Fruit and vegetable inspections at production sites and food processing facilities are often done on random batches using techniques that can take a few days to produce results. Analysing data obtained from these inspections, apart from time consuming, can also be costly, leading to reduced checks, which in turn increase the risk of microbiological and chemical contamination. Addressing this, the EU-funded GRACED project aims to develop an innovative sensor for faster, cost-effective and reliable monitoring of food quality and safety in fruit and vegetable value chains which will be validated in various production and distribution systems.


As consumer demand for fresh fruits and vegetables (F&V) continues to increase, so does the risk of microbiological and chemical contamination. Currently, inspections for F&V are carried out at the production site or the food processing facility, based also on regulatory requirements. In most cases these are inspections of random batches using laboratory techniques, which may require up to two or more days before getting results. The time and cost per analysis leads to reduced checks and thus, elevated risks, even in countries with very efficient control mechanisms. Furthermore, such analysis cannot take place in all parts of the value chain (due to time requirements, but also due to associated cost), including supermarkets or restaurants, which are critical points since this is where the consumer will get the products from. GRACED considers the aforementioned need and the limitations of current techniques and proposes a novel solution for contaminants detection in all stages of the F&V industry value chains. The heart of the proposed solution is a novel plasmo-photonic bimodal interferometric sensor, combined with low cost on-chip light generation, capable of simultaneously and quickly detecting different analytes of interest. The sensor will be part of holistic, modular solution that exploits unique engineering designs, IoT concepts and advanced data analytics, for the early detection of contaminations in the F&V value chains. The approach will be validated in different production & distribution systems: a) a conventional farming system in open-air farms and the follow-up steps of food processing for preparing cooked meals and frozen vegetable packages, b) a novel, urban farming ecosystem, producing F&V locally and using them in in-situ restaurants, c) a short value chain based on agro-ecology and direct distribution from farmers to consumers & restaurants, d) a semi-automatic farm producing mushrooms and distributing them to supermarkets & wholesalers.

Call for proposal


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Net EU contribution
€ 558 281,25
Agias elenis 6 agias elenis building 4th floor flat office 43
1060 Lefkosia

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Κύπρος Κύπρος Κύπρος
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Other funding
€ 0,00

Participants (16)