01/01/2021 – 28/02/2024
Grant agreement ID: 101015825
Prof. Ole Bang
Technical University of Denmark, Denmark
NKT Photonics, Denmark
Stichting Radboud University, Netherlands
Senseair AB, Sweden
Swiss Center for Electronics and Microtechnology, Switzerland
Norblis APS, Denmark
Vigo Photonics Spolka Akcyjna, Poland
Linköping University, Sweden
Vivid Components LTD, United Kingdom
DOI: Gålfalk M., Påledal S.N., Sehlén R., Bastviken D. (2022), Ground-based remote sensing of CH4 and N2O fluxes from a wastewater treatment plant and nearby biogas production with discoveries of unexpected sources. Environmental Research 204, 11197.
DOI: Napier B., Bang O., Markos C., et al. (2021), Ultra-broadband infrared gas sensor for pollution detection- the TRIAGE project. J. Physics-Photonics 3, 31003.
DOI: Abbas M.A. Jahromi K.E., Nematollahi M., et al. (2021), Fourier transform spectrometer based on high-repetition-rate mid-infrared supercontinuum sources for trace gas detection. Optics Express 29, 22315-22330.
Ultra-broadband infrared gas sensor for pollution detection
The TRIAGE consortium brings an innovative solution and aims to develop a smart, compact and cost-effective air quality sampling sensor network for the hyperspectral detection of all relevant atmospheric pollution gases.
Through the collaboration between nine project partners, TRIAGE will develop the following technologies: 2-10 µm supercontinuum sources, DTURugged low noise 2 µm pump laser, high-performance multi-pass absorption cell, infrared detector modules and FT spectrometer. TRIAGE system will be further integrated and tested in urban settings with Swedish and Swiss environmental agencies and transport companies.
As a result, the TRIAGE system will allow the detection of minute traces of molecules in complex gas mixtures and provide real-time information and analysis. Its resolution and selectivity, as well as the cost-effectiveness, will be significantly better compared to the current solutions.
Air pollution is one of the largest risk factors for disease or premature death globally, yet current portable monitoring technology cannot provide adequate protection at a local community level.
- TRIAGE will develop a smart, compact and cost-effective air quality sampling sensor network for the hyperspectral detection of all relevant atmospheric pollution gases
- Resolution and selectivity will be significantly better than current solutions and lower cost
- Cloud-based deep-learning algorithms will enable automated short-term alerts and long-term trend analysis
- Extensive testing in urban settings with Swedish and Swiss environmental agencies and transport companies.
- 2-10 µm supercontinuum sources by NORBLIS and DTU
- Rugged low noise 2 µm pump laser by NKT Photonics
- High-performance multi-pass absorption cell by Senseair
- Infrared detector modules by VIGO System
- FT spectrometer by Radboud University
- The system will be integrated by CSEM
- Reference database by Radboud University
- Analysis and deep learning algorithms by CSEM
Linköping University will be responsible for the tests of functionality and long-term demonstration of the TRIAGE system.