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NeO2-Sens

Description

One of the great challenges of the future for humanity is the continuous increase in the demand for food production as well as in the greater stress on resources like water or land. Monitoring water quality is essential for efficient food production and water resources monitoring against pollution. The most important parameter to assess the quality of water is the amount of molecular oxygen which is dissolved in water. The goal of this project is to perform a feasibility study aiming at realizing an optical oxygen sensor based on luminescence quenching and artificial intelligence.

Key Data

Deputy Projectlead

Dr. Dario Piga

Project team

Dr. Manas Mejari, Ziga Nosan

Project status

completed, 03/2022 - 03/2023

Funding partner

Foundation

Project budget

50'000 CHF