Innovating Works

PhasmaFOOD

Financiado
Portable photonic miniaturised smart system for on the spot food quality sensing
The main objective of the project is to design and implement a parameterized, knowledge-based, multi-target food sensitive mini-portable system, with heterogeneous micro-scale photonics for on-the-spot food quality sensing and she... The main objective of the project is to design and implement a parameterized, knowledge-based, multi-target food sensitive mini-portable system, with heterogeneous micro-scale photonics for on-the-spot food quality sensing and shelf-life prediction. In particular, the miniaturized smart integrated system will be able to detect food hazards, spoilage (incl. early sign of spoilage) and food fraud through the combined bio-chemical data analysis and additionally will be able to perform food components/additives analysis, food identification and prediction of food shelf-life. The following use case will be addressed during the project: Use case 1: Detection of mycotoxins in various grains and nuts. Aflatoxins detection. A simple, convenient ultraviolet test makes it possible to detect the possible presence of aflatoxin. Use case 2: Detection of early sign of spoilage and spoilage in fruits, vegetables, meat, fish: combined with estimation on product expiration date. Use case 3: Detection of food fraud: Adulteration of alcoholic beverages, oil, milk and meat. 3 sensor devices will be integrated in the miniaturised smart sensor node: i) a MEMS-based near IR spectrometer (950-1900 nm), ii) a UV-VIS spectrometer (450-900 nm) and iii) a micro-camera. Moreover 3 light sources will also be integrated to support the sensing functionality: i) UV-LED, ii) white LED and iii) a miniaturised IR emitter. Smart signal processing of the spectrum images will be performed by an advanced microcontroller, integrated in the sensing device. The data will be communicated to a smartphone device, where the spectroscopy analysis will take place with the help of a cloud-base application connected to a reference database. Advanced detection algorithms will be deployed both in the level of cloud and the smartphone application. PhasmaFOOD system will enable common consumers for on the spot food quality sensing and shelf-life prediction. ver más
31/12/2019
INTRASOFT
3M€
Duración del proyecto: 38 meses Fecha Inicio: 2016-10-26
Fecha Fin: 2019-12-31

Línea de financiación: concedida

El organismo H2020 notifico la concesión del proyecto el día 2019-12-31
Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:
ICT-03-2016: SSI - Smart System Integration
Cerrada hace 8 años
Presupuesto El presupuesto total del proyecto asciende a 3M€
Líder del proyecto
NETCOMPANY INTRASOFT No se ha especificado una descripción o un objeto social para esta compañía.
Perfil tecnológico TRL 4-5