h-ALO

h-ALO

01/01/2021 – 30/06/2024
Grant agreement ID: 101016706

Stefano Toffanin
Coordinator,  CNR-ISMN

DOI: Moschetto, S., Benvenuti, E., Usta, H., et al. (2022), Interplay between Charge Injection, Electron Transport, and Quantum Efficiency in Ambipolar Trilayer Organic Light-Emitting Transistors. Atmosphere 2021, 12(3). Adv. Materials Interfaces, 9, 5, 2101926, 14;02;22.

To stay updated on project activities and results visit our news page:

https://h-alo.eu/news-events/

photonic system for Adaptable muLtiple-analyte Monitoring of fOod quality | h-ALO

With 11 partners from 5 European countries on board, h-ALO aims to develop and demonstrate a new affordable, portable, and broadly adaptable photonic-based analytic tool that allows local food producers to control the quality and safety of their products in real-time.

As part of its innovations and strength points, h-ALO exploits cutting-edge photonics and nanoplasmonics technologies to develop a food sensor with unprecedented sensitivity to contaminants while being fast and easy to use on-site by non-expert operators. Project partners work in close collaboration with end-users, owners of small/medium sized-farms, local producers of organic and craft food, and on-site food vendors. Thus, together they co-create the list of target analytes and demonstrate the effectiveness of the h-ALO prototype in real-setting applications.

By adopting the h-ALO sensor, local and artisanal producers will be able to reduce food losses and waste, maximize yields, and lower the costs related to food monitoring. In this way, h-ALO embraces the objectives of the EU Farm to Fork strategy.

h-ALO will develop and demonstrate a new affordable, portable, and broadly adaptable photonic-based analytic tool that allows local food producers to control the quality and safety of their products in real-time. h-ALO exploits cutting-edge photonics and nanoplasmonics technologies to develop a food sensor with unprecedented sensitivity to contaminants while being fast and easy to use on-site by non-expert operators.

The multiplex-analyte recognition allows the detection of both microbiological and chemical contaminants in different food matrices, namely aquaponics, craft beer, raw milk and organic honey. These food chains are strategical since they represent regional and organic products and share the need for a sensor that can screen at the same time multiple and different classes of analytes. Project partners work in close collaboration with end-users, owners of small/medium sized-farms, local producers of organic and craft food, and on-site food vendors. Together they co-create the list of target analytes and demonstrate the effectiveness of the h-ALO prototype in real-setting applications. By adopting the h-ALO sensor, local and artisanal producers will be able to reduce food losses and waste, maximize yields, and lower the costs related to food monitoring. In this way, h-ALO embraces the objectives of the EU Farm to Fork strategy.