Descripción del proyecto
Una tecnología innovadora para detectar contaminantes en la cadena de valor hortofrutícola
El control de calidad de frutas y verduras en los centros de producción y las instalaciones de transformación de alimentos se suele realizar en lotes aleatorios utilizando técnicas que pueden tardar unos días en proporcionar los resultados. El análisis de los datos obtenidos en estos controles no solo es muy laborioso, sino que además es muy caro, lo que conlleva que se reduzca el número de controles, lo que, a su vez, aumenta el riesgo de contaminación microbiológica y química. A fin de abordar este problema, el objetivo del proyecto financiado con fondos europeos GRACED es desarrollar un sensor innovador para llevar a cabo un seguimiento más rápido, rentable y fiable de la calidad y la seguridad de los alimentos en la cadena de valor hortofrutícola, que se validará en varios sistemas de producción y distribución.
Objetivo
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.
Ámbito científico
- natural sciencescomputer and information sciencesinternetinternet of things
- agricultural sciencesagriculture, forestry, and fisheriesagriculturehorticulturefruit growing
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- agricultural sciencesagriculture, forestry, and fisheriesagriculturehorticulturevegetable growing
- natural sciencesbiological sciencesecologyecosystems
Palabras clave
Programa(s)
Convocatoria de propuestas
Consulte otros proyectos de esta convocatoriaConvocatoria de subcontratación
H2020-ICT-2020-2
Régimen de financiación
RIA - Research and Innovation actionCoordinador
1060 Lefkosia
Chipre
Organización definida por ella misma como pequeña y mediana empresa (pyme) en el momento de la firma del acuerdo de subvención.