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

doi:10.1088/2515-7647/ac0542

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 journal › Review › peer-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 language	English
Article number	e031003
Journal	JPhys Photonics
Volume	3
Issue number	3
Number of pages	7
DOIs	https://doi.org/10.1088/2515-7647/ac0542
Publication status	Published - 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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Napier, B., Bang, O., Markos, C., Moselund, P., Huot, L., Harren, F. J. M., Khodabakhsh, A., Martin, H., Briano, F. O., Balet, L., Lecomte, S., Petersen, C. R., Israelsen, N., Bastviken, D., Galfalk, M., Kubiszyn, L., & Warzybok, P. (2021). Ultra-broadband infrared gas sensor for pollution detection: The TRIAGE project. JPhys Photonics, 3(3), Article e031003. https://doi.org/10.1088/2515-7647/ac0542

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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.",

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

note = "Funding Information: TRIAGE (Grant No. 101015825) and FLAIR (Grant No. 732968) have received funding from Horizon 2020, the European Union{\textquoteright}s Framework Programme for Research and Innovation. Publisher Copyright: {\textcopyright} JPhys Complexity 2021. All rights reserved.",

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Napier, B, Bang, O , Markos, C, Moselund, P, Huot, L, Harren, FJM, Khodabakhsh, A, Martin, H, Briano, FO, Balet, L, Lecomte, S, Petersen, CR , Israelsen, N, Bastviken, D, Galfalk, M, Kubiszyn, L & Warzybok, P 2021, 'Ultra-broadband infrared gas sensor for pollution detection: The TRIAGE project', JPhys Photonics, vol. 3, no. 3, e031003. https://doi.org/10.1088/2515-7647/ac0542

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AU - Napier, Bruce

AU - Bang, Ole

AU - Markos, Christos

AU - Moselund, Peter

AU - Huot, Laurent

AU - Harren, Frans J.M.

AU - Khodabakhsh, Amir

AU - Martin, Hans

AU - Briano, Floria Ottonello

AU - Balet, Laurent

AU - Lecomte, Steve

AU - Petersen, Christian R.

AU - Israelsen, Niels

AU - Bastviken, David

AU - Galfalk, Magnus

AU - Kubiszyn, Lukasz

AU - Warzybok, Piotr

N1 - 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.

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N2 - 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.

AB - 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.

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KW - Deep learning algorithms

KW - Mid-infrared

KW - Spectroscopy

KW - Supercontinuum sources

KW - Trace gas detection

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DO - 10.1088/2515-7647/ac0542

M3 - Review

AN - SCOPUS:85109084606

SN - 2515-7647

VL - 3

JO - JPhys Photonics

JF - JPhys Photonics

IS - 3

M1 - e031003

ER -

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

Abstract

Bibliographical note

Keywords

UN SDGs

Access to Document

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Cite this