Online in situ detection of kitchen environment based on laser-induced breakdown spectroscopy

The damage of kitchen oil fume to the human body and environment cannot be ignored. Based on laser-induced breakdown spectroscopy (LIBS), five kitchen environments are online in situ detected, including the air scene, fry scene, grill scene, steam scene, and stew scene. In the spectra, characteristi...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of laser applications 2022-08, Vol.34 (3)
Hauptverfasser: Tian, Dongpeng, Sun, Zhongmou, Wan, Enlai, Zhou, Wentao, Chen, Ziang, Liu, Yuzhu
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 3
container_start_page
container_title Journal of laser applications
container_volume 34
creator Tian, Dongpeng
Sun, Zhongmou
Wan, Enlai
Zhou, Wentao
Chen, Ziang
Liu, Yuzhu
description The damage of kitchen oil fume to the human body and environment cannot be ignored. Based on laser-induced breakdown spectroscopy (LIBS), five kitchen environments are online in situ detected, including the air scene, fry scene, grill scene, steam scene, and stew scene. In the spectra, characteristic elements such as C, H, O, and N are detected in the fry scene containing oil fume, and metal elements such as Mg, Ca, K, and Na are observed in the grill scene containing charcoal smoke. The spectra of five kitchen environments are tested and compared. In the measurement, except for the air scene, obvious carbon–nitrogen molecular spectral lines are detected. LIBS is combined with principal component analysis and backpropagation artificial neural network system to detect and analyze kitchen fumes. Finally, five kitchen scenes are analyzed and identified based on this system, and the final recognition accuracy is 98.60%.
doi_str_mv 10.2351/7.0000700
format Article
fullrecord <record><control><sourceid>scitation_cross</sourceid><recordid>TN_cdi_scitation_primary_10_2351_7_0000700</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>jla</sourcerecordid><originalsourceid>FETCH-LOGICAL-c299t-6f0d807b6f0fff8c39b4d1fb1dc74cbc57cb1396629b5af056eea9eaad982bb33</originalsourceid><addsrcrecordid>eNp9kE9LAzEQxYMoWKsHv0GuCqnJZnezOUrRKhR6UfAiS_5ibJssSVrptzelRQ-Cc3nDzI83zAPgmuBJRRtyxya4FMP4BIwIpx0itGOnpcd1hWjdvp2Di5Q-MSaMsnoE3hd-5byBzsPk8gZqk43KLngYLFy6rD6Mh8ZvXQx-bXyGUiSjYdmvShOR83qjykBGI5Y6fBWboRjEkFQYdpfgzIpVMldHHYPXx4eX6ROaL2bP0_s5UhXnGbUW6w4zWdRa2ynKZa2JlUQrViupGqYkobxtKy4bYXHTGiO4EULzrpKS0jG4OfiqcjhFY_shurWIu57gfp9Lz_pjLoW9PbBJuSz2r_7A2xB_wX7Q9j_4r_M3yn50Dw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Online in situ detection of kitchen environment based on laser-induced breakdown spectroscopy</title><source>AIP Journals Complete</source><creator>Tian, Dongpeng ; Sun, Zhongmou ; Wan, Enlai ; Zhou, Wentao ; Chen, Ziang ; Liu, Yuzhu</creator><creatorcontrib>Tian, Dongpeng ; Sun, Zhongmou ; Wan, Enlai ; Zhou, Wentao ; Chen, Ziang ; Liu, Yuzhu</creatorcontrib><description>The damage of kitchen oil fume to the human body and environment cannot be ignored. Based on laser-induced breakdown spectroscopy (LIBS), five kitchen environments are online in situ detected, including the air scene, fry scene, grill scene, steam scene, and stew scene. In the spectra, characteristic elements such as C, H, O, and N are detected in the fry scene containing oil fume, and metal elements such as Mg, Ca, K, and Na are observed in the grill scene containing charcoal smoke. The spectra of five kitchen environments are tested and compared. In the measurement, except for the air scene, obvious carbon–nitrogen molecular spectral lines are detected. LIBS is combined with principal component analysis and backpropagation artificial neural network system to detect and analyze kitchen fumes. Finally, five kitchen scenes are analyzed and identified based on this system, and the final recognition accuracy is 98.60%.</description><identifier>ISSN: 1042-346X</identifier><identifier>EISSN: 1938-1387</identifier><identifier>DOI: 10.2351/7.0000700</identifier><identifier>CODEN: JLAPEN</identifier><language>eng</language><ispartof>Journal of laser applications, 2022-08, Vol.34 (3)</ispartof><rights>Author(s)</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c299t-6f0d807b6f0fff8c39b4d1fb1dc74cbc57cb1396629b5af056eea9eaad982bb33</citedby><cites>FETCH-LOGICAL-c299t-6f0d807b6f0fff8c39b4d1fb1dc74cbc57cb1396629b5af056eea9eaad982bb33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://pubs.aip.org/jla/article-lookup/doi/10.2351/7.0000700$$EHTML$$P50$$Gscitation$$H</linktohtml><link.rule.ids>314,780,784,794,4512,27924,27925,76384</link.rule.ids></links><search><creatorcontrib>Tian, Dongpeng</creatorcontrib><creatorcontrib>Sun, Zhongmou</creatorcontrib><creatorcontrib>Wan, Enlai</creatorcontrib><creatorcontrib>Zhou, Wentao</creatorcontrib><creatorcontrib>Chen, Ziang</creatorcontrib><creatorcontrib>Liu, Yuzhu</creatorcontrib><title>Online in situ detection of kitchen environment based on laser-induced breakdown spectroscopy</title><title>Journal of laser applications</title><description>The damage of kitchen oil fume to the human body and environment cannot be ignored. Based on laser-induced breakdown spectroscopy (LIBS), five kitchen environments are online in situ detected, including the air scene, fry scene, grill scene, steam scene, and stew scene. In the spectra, characteristic elements such as C, H, O, and N are detected in the fry scene containing oil fume, and metal elements such as Mg, Ca, K, and Na are observed in the grill scene containing charcoal smoke. The spectra of five kitchen environments are tested and compared. In the measurement, except for the air scene, obvious carbon–nitrogen molecular spectral lines are detected. LIBS is combined with principal component analysis and backpropagation artificial neural network system to detect and analyze kitchen fumes. Finally, five kitchen scenes are analyzed and identified based on this system, and the final recognition accuracy is 98.60%.</description><issn>1042-346X</issn><issn>1938-1387</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9kE9LAzEQxYMoWKsHv0GuCqnJZnezOUrRKhR6UfAiS_5ibJssSVrptzelRQ-Cc3nDzI83zAPgmuBJRRtyxya4FMP4BIwIpx0itGOnpcd1hWjdvp2Di5Q-MSaMsnoE3hd-5byBzsPk8gZqk43KLngYLFy6rD6Mh8ZvXQx-bXyGUiSjYdmvShOR83qjykBGI5Y6fBWboRjEkFQYdpfgzIpVMldHHYPXx4eX6ROaL2bP0_s5UhXnGbUW6w4zWdRa2ynKZa2JlUQrViupGqYkobxtKy4bYXHTGiO4EULzrpKS0jG4OfiqcjhFY_shurWIu57gfp9Lz_pjLoW9PbBJuSz2r_7A2xB_wX7Q9j_4r_M3yn50Dw</recordid><startdate>202208</startdate><enddate>202208</enddate><creator>Tian, Dongpeng</creator><creator>Sun, Zhongmou</creator><creator>Wan, Enlai</creator><creator>Zhou, Wentao</creator><creator>Chen, Ziang</creator><creator>Liu, Yuzhu</creator><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>202208</creationdate><title>Online in situ detection of kitchen environment based on laser-induced breakdown spectroscopy</title><author>Tian, Dongpeng ; Sun, Zhongmou ; Wan, Enlai ; Zhou, Wentao ; Chen, Ziang ; Liu, Yuzhu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c299t-6f0d807b6f0fff8c39b4d1fb1dc74cbc57cb1396629b5af056eea9eaad982bb33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tian, Dongpeng</creatorcontrib><creatorcontrib>Sun, Zhongmou</creatorcontrib><creatorcontrib>Wan, Enlai</creatorcontrib><creatorcontrib>Zhou, Wentao</creatorcontrib><creatorcontrib>Chen, Ziang</creatorcontrib><creatorcontrib>Liu, Yuzhu</creatorcontrib><collection>CrossRef</collection><jtitle>Journal of laser applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tian, Dongpeng</au><au>Sun, Zhongmou</au><au>Wan, Enlai</au><au>Zhou, Wentao</au><au>Chen, Ziang</au><au>Liu, Yuzhu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Online in situ detection of kitchen environment based on laser-induced breakdown spectroscopy</atitle><jtitle>Journal of laser applications</jtitle><date>2022-08</date><risdate>2022</risdate><volume>34</volume><issue>3</issue><issn>1042-346X</issn><eissn>1938-1387</eissn><coden>JLAPEN</coden><abstract>The damage of kitchen oil fume to the human body and environment cannot be ignored. Based on laser-induced breakdown spectroscopy (LIBS), five kitchen environments are online in situ detected, including the air scene, fry scene, grill scene, steam scene, and stew scene. In the spectra, characteristic elements such as C, H, O, and N are detected in the fry scene containing oil fume, and metal elements such as Mg, Ca, K, and Na are observed in the grill scene containing charcoal smoke. The spectra of five kitchen environments are tested and compared. In the measurement, except for the air scene, obvious carbon–nitrogen molecular spectral lines are detected. LIBS is combined with principal component analysis and backpropagation artificial neural network system to detect and analyze kitchen fumes. Finally, five kitchen scenes are analyzed and identified based on this system, and the final recognition accuracy is 98.60%.</abstract><doi>10.2351/7.0000700</doi><tpages>8</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1042-346X
ispartof Journal of laser applications, 2022-08, Vol.34 (3)
issn 1042-346X
1938-1387
language eng
recordid cdi_scitation_primary_10_2351_7_0000700
source AIP Journals Complete
title Online in situ detection of kitchen environment based on laser-induced breakdown spectroscopy
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T07%3A52%3A15IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-scitation_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Online%20in%20situ%20detection%20of%20kitchen%20environment%20based%20on%20laser-induced%20breakdown%20spectroscopy&rft.jtitle=Journal%20of%20laser%20applications&rft.au=Tian,%20Dongpeng&rft.date=2022-08&rft.volume=34&rft.issue=3&rft.issn=1042-346X&rft.eissn=1938-1387&rft.coden=JLAPEN&rft_id=info:doi/10.2351/7.0000700&rft_dat=%3Cscitation_cross%3Ejla%3C/scitation_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true