Title: Photonic Accurate and Portable Sensor Systems Exploiting Photo-Acoustic and Photo-Thermal Based Spectroscopy for Real-Time Outdoor Air Pollution Monitoring
Lead PI: W Whelan-Curtin
Total budget: 8540 K
Award returning to IPIC: 672 K
Key partners: TUM, Argotech, Uni Bari, Nanoplus
IPIC role: Laser Modules, Comms and Control Systems, System Integration, Deployment
Abstract: Air pollution in terms of toxic gas molecules and particulate matter is a major cause of morbidity and premature mortality, resulting in an estimated 4.2 million deaths per year. Real time pollution monitoring with high spatial resolution and public alerts is vital to minimise the exposure of the population, particularly the vulnerable, to air pollution. Direct access to high quality, trustworthy data will allow optimisation of daily schedules to reduce exposure. The availability of actionable data, which will, if necessary, stand up in court and with government, will drive long term changes in the behaviour of both the public and industry. Ambient pollutant reference detectors are impractical for widespread or mobile deployment. Miniature, low cost electrochemical generally are still not stable or sensitive enough for monitoring ambient pollutants reliably. PASSEPARTOUT will advance the development and deployment of miniature, hyperspectral optical based sensors based on Quartz Enhanced Photo-acoustic Spectroscopy and Photo-Thermal Interferometry for a wide range of ambient pollutants. The PASSEPARTOUT optical sensors operate in the mid-IR or NIR spectral range and allow calibration free methodologies as quantification is based on the well-known optical constants of the target analytes and will be compatible with the rigorous certification process. PASSEPARTOUT will realise the first 3D mobile optical gas analyser network capable of operating in an urban area. Innovative and high-performance technologies for high accuracy and flexible environmental air quality monitoring will be built into robust drone-mounted, low-cost vehicle-mounted and stationary sensors. The network will provide real-time information about the concentration of polluting gases (NOx, SO2, NH3, CH4, CO, CO2) and black carbon within urban areas, around landfills and seaports with extremely high precision and excellent spatial resolution.
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