Ultra-broadband infrared gas sensor for pollution detection: The TRIAGE project

Bruce Napier*, Ole Bang, Christos Markos, Peter Moselund, Laurent Huot, Frans J.M. Harren, Amir Khodabakhsh, Hans Martin, Floria Ottonello Briano, Laurent Balet, Steve Lecomte, Christian R. Petersen, Niels Israelsen, David Bastviken, Magnus Galfalk, Lukasz Kubiszyn, Piotr Warzybok

*Corresponding author for this work

    Research output: Contribution to journalReviewpeer-review

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    Abstract

    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. Within the TRIAGE project, a smart, compact and cost-effective air quality sensor network will be developed for the hyperspectral detection of gases which are relevant for atmospheric pollution monitoring or dangerous for human health. The sensor is based on a mid-infrared supercontinuum source, providing ultra-bright emission across the 2 10 um wavelength region. Within this spectral range, harmful gaseous species can be detected with high sensitivity and selectivity. The spectroscopic sensor, which includes a novel multi-pass cell and detector, enables a smart robust photonic sensing system for real-Time detection. With built-in chemometric analysis and cloud connection, the sensor will feed advanced deep-learning algorithms for various analyses, ranging from long-Term continental trends in air pollution to urgent local warnings and alerts. Community-based distributed pollution sensing tests will be verified on municipal building rooftops and local transport platforms.

    Original languageEnglish
    Article numbere031003
    JournalJPhys Photonics
    Volume3
    Issue number3
    Number of pages7
    DOIs
    Publication statusPublished - Jul 2021

    Bibliographical note

    Funding Information:
    TRIAGE (Grant No. 101015825) and FLAIR (Grant No. 732968) have received funding from Horizon 2020, the European Union’s Framework Programme for Research and Innovation.

    Publisher Copyright:
    © JPhys Complexity 2021. All rights reserved.

    Keywords

    • Big data repositories
    • Deep learning algorithms
    • Mid-infrared
    • Spectroscopy
    • Supercontinuum sources
    • Trace gas detection

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