Ultra-broadband infrared gas sensor for pollution detection: the TRIAGE project
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 develo...
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| Veröffentlicht in: | JPhys photonics 2021-07, Vol.3 (3), p.31003 |
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| creator | Napier, Bruce Bang, Ole Markos, Christos Moselund, Peter Huot, Laurent Harren, Frans J M Khodabakhsh, Amir Martin, Hans Briano, Floria Ottonello Balet, Laurent Lecomte, Steve Petersen, Christian R Israelsen, Niels Bastviken, David Gålfalk, Magnus Kubiszyn, Łukasz Warzybok, Piotr |
| description | 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
µ
m 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. |
| doi_str_mv | 10.1088/2515-7647/ac0542 |
| format | Article |
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µ
m 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.</description><identifier>ISSN: 2515-7647</identifier><identifier>EISSN: 2515-7647</identifier><identifier>DOI: 10.1088/2515-7647/ac0542</identifier><language>eng</language><publisher>Bristol: IOP Publishing</publisher><subject>Air pollution ; Air quality ; Algorithms ; big data repositories ; Broadband ; deep learning algorithms ; Environmental monitoring ; Gas sensors ; Infrared detectors ; Machine learning ; mid-infrared ; Outdoor air quality ; Pollution detection ; Pollution monitoring ; Risk analysis ; Selectivity ; Sensors ; spectroscopy ; supercontinuum source ; trace gas detection</subject><ispartof>JPhys photonics, 2021-07, Vol.3 (3), p.31003</ispartof><rights>2021 The Author(s). Published by IOP Publishing Ltd</rights><rights>2021. This work is published under http://creativecommons.org/licenses/by/4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c424t-382929fe428be7690bf5a6a2d4aae7fa39640ab3ea48911457c67c6ea9e216393</citedby><cites>FETCH-LOGICAL-c424t-382929fe428be7690bf5a6a2d4aae7fa39640ab3ea48911457c67c6ea9e216393</cites><orcidid>0000-0001-7223-7478 ; 0000-0003-0038-2152</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://iopscience.iop.org/article/10.1088/2515-7647/ac0542/pdf$$EPDF$$P50$$Giop$$Hfree_for_read</linktopdf><link.rule.ids>230,314,552,778,782,862,883,27911,27912,38877,53854</link.rule.ids><backlink>$$Uhttps://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-176825$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Napier, Bruce</creatorcontrib><creatorcontrib>Bang, Ole</creatorcontrib><creatorcontrib>Markos, Christos</creatorcontrib><creatorcontrib>Moselund, Peter</creatorcontrib><creatorcontrib>Huot, Laurent</creatorcontrib><creatorcontrib>Harren, Frans J M</creatorcontrib><creatorcontrib>Khodabakhsh, Amir</creatorcontrib><creatorcontrib>Martin, Hans</creatorcontrib><creatorcontrib>Briano, Floria Ottonello</creatorcontrib><creatorcontrib>Balet, Laurent</creatorcontrib><creatorcontrib>Lecomte, Steve</creatorcontrib><creatorcontrib>Petersen, Christian R</creatorcontrib><creatorcontrib>Israelsen, Niels</creatorcontrib><creatorcontrib>Bastviken, David</creatorcontrib><creatorcontrib>Gålfalk, Magnus</creatorcontrib><creatorcontrib>Kubiszyn, Łukasz</creatorcontrib><creatorcontrib>Warzybok, Piotr</creatorcontrib><title>Ultra-broadband infrared gas sensor for pollution detection: the TRIAGE project</title><title>JPhys photonics</title><addtitle>JPhysPhotonics</addtitle><addtitle>J. Phys. Photonics</addtitle><description>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
µ
m 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.</description><subject>Air pollution</subject><subject>Air quality</subject><subject>Algorithms</subject><subject>big data repositories</subject><subject>Broadband</subject><subject>deep learning algorithms</subject><subject>Environmental monitoring</subject><subject>Gas sensors</subject><subject>Infrared detectors</subject><subject>Machine learning</subject><subject>mid-infrared</subject><subject>Outdoor air quality</subject><subject>Pollution detection</subject><subject>Pollution monitoring</subject><subject>Risk analysis</subject><subject>Selectivity</subject><subject>Sensors</subject><subject>spectroscopy</subject><subject>supercontinuum source</subject><subject>trace gas detection</subject><issn>2515-7647</issn><issn>2515-7647</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>O3W</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>D8T</sourceid><recordid>eNp1kE1Lw0AQhoMoWGrvHgMeNXa_kk28lVproVCQ1usySXbblJhddxPEf--GSPWgzAwzDM-8DG8QXGN0j1GaTkmM44gnjE-hQDEjZ8HotDr_NV8GE-eOCCHCM4ZIMgo2u7q1EOVWQ5lDU4ZVoyxYWYZ7cKGTjdM2VL6MruuurXQTlrKVRT89hO1BhtuX1Wy5CI3VR7--Ci4U1E5Ovvs42D0ttvPnaL1ZruazdVQwwtqIpiQjmZKMpLnkSYZyFUMCpGQAkiugWcIQ5FQCSzOMWcyLxKeETBKc0IyOg2jQdR_SdLkwtnoD-yk0VOKxep0JbfeirjqBeZKS2PM3A-__fO-ka8VRd7bxLwoSM5TSGPGeQgNVWO2cleqki5HonRa9laK3UgxO-5Pb4aTS5kfzaMxBt7oR1AeiGCEqTKk8ffcH_a_4Fy_fjMo</recordid><startdate>20210701</startdate><enddate>20210701</enddate><creator>Napier, Bruce</creator><creator>Bang, Ole</creator><creator>Markos, Christos</creator><creator>Moselund, Peter</creator><creator>Huot, Laurent</creator><creator>Harren, Frans J M</creator><creator>Khodabakhsh, Amir</creator><creator>Martin, Hans</creator><creator>Briano, Floria Ottonello</creator><creator>Balet, Laurent</creator><creator>Lecomte, Steve</creator><creator>Petersen, Christian R</creator><creator>Israelsen, Niels</creator><creator>Bastviken, David</creator><creator>Gålfalk, Magnus</creator><creator>Kubiszyn, Łukasz</creator><creator>Warzybok, Piotr</creator><general>IOP Publishing</general><scope>O3W</scope><scope>TSCCA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SP</scope><scope>7XB</scope><scope>88I</scope><scope>8FD</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>L7M</scope><scope>M2P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>ABXSW</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>D8T</scope><scope>DG8</scope><scope>ZZAVC</scope><orcidid>https://orcid.org/0000-0001-7223-7478</orcidid><orcidid>https://orcid.org/0000-0003-0038-2152</orcidid></search><sort><creationdate>20210701</creationdate><title>Ultra-broadband infrared gas sensor for pollution detection: the TRIAGE project</title><author>Napier, Bruce ; 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Phys. Photonics</addtitle><date>2021-07-01</date><risdate>2021</risdate><volume>3</volume><issue>3</issue><spage>31003</spage><pages>31003-</pages><issn>2515-7647</issn><eissn>2515-7647</eissn><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
µ
m 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.</abstract><cop>Bristol</cop><pub>IOP Publishing</pub><doi>10.1088/2515-7647/ac0542</doi><tpages>6</tpages><orcidid>https://orcid.org/0000-0001-7223-7478</orcidid><orcidid>https://orcid.org/0000-0003-0038-2152</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Air pollution Air quality Algorithms big data repositories Broadband deep learning algorithms Environmental monitoring Gas sensors Infrared detectors Machine learning mid-infrared Outdoor air quality Pollution detection Pollution monitoring Risk analysis Selectivity Sensors spectroscopy supercontinuum source trace gas detection |
| title | Ultra-broadband infrared gas sensor for pollution detection: the TRIAGE project |
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