Real-time automatic detection of starch particles in ambient air
•Quantification of starch in ambient air by laser spectroscopy bioaerosol monitoring.•Insights into atmospheric processes via high temporal resolution data.•Identification of sources of airborne particles.•Notable amounts of airborne starch are related to cereal grain storage facilities. Considerabl...
Gespeichert in:
Veröffentlicht in: | Agricultural and forest meteorology 2022-08, Vol.323, p.109034-109034, Article 109034 |
---|---|
Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 109034 |
---|---|
container_issue | |
container_start_page | 109034 |
container_title | Agricultural and forest meteorology |
container_volume | 323 |
creator | Šikoparija, Branko Matavulj, Predrag Mimić, Gordan Smith, Matt Grewling, Łukasz Podraščanin, Zorica |
description | •Quantification of starch in ambient air by laser spectroscopy bioaerosol monitoring.•Insights into atmospheric processes via high temporal resolution data.•Identification of sources of airborne particles.•Notable amounts of airborne starch are related to cereal grain storage facilities.
Considerable amounts of starch granules can be present in the atmosphere from both natural and anthropogenic sources. The aim of this study is to investigate the variability and potential origin of starch granules in ambient air recorded at six cities situated in a region with dominantly agricultural land use. This is achieved by using a combination of laser spectroscopy bioaerosol measurements with 1 min temporal resolution, traditional volumetric Hirst type bioaerosol sampling and atmospheric modelling. The analysis of wind roses identified potential sources of airborne starch (i.e., cereal grain storage facilities) in the vicinity of all aerobiological stations analysed in this study. The analysis of the CALPUFF dispersion model confirmed that emission of dust from the location of storage towers situated about 2.5 km north of the aerobiological station in Novi Sad is a plausible source of high airborne concentrations of starch granules. This study is important for environmental health since it contributes body of knowledge about sources, emission, and dispersion of airborne starch, known to be involved in phenomena such as thunderstorm-triggered asthma. The presented approach integrates monitoring and modelling, and provides a roadmap for examining a variety of bioaerosols previously considered to be outside the scope of traditional aerobiological measurements.
[Display omitted] |
doi_str_mv | 10.1016/j.agrformet.2022.109034 |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9391928</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0168192322002234</els_id><sourcerecordid>2706718236</sourcerecordid><originalsourceid>FETCH-LOGICAL-c485t-c55fc44c0811704ee361510a9f947bcff985020c9b102a80fa36b81a530c69793</originalsourceid><addsrcrecordid>eNqNkU1rHDEMhk1paTZpf0Pn2MtsZHvGH5fSEPoFgUJpz0bjlRMvM-Ot7Q3039fphkBP7UkgPXol3pexNxy2HLi63G_xNoeUF6pbAUK0rgU5PGMbbrTshRjgOds00vTcCnnGzkvZA3ChtX3JzqQCkFKpDXv_jXDua1yow2NNC9boux1V8jWmtUuhKxWzv-sOmNtoptLFtcNlirTWDmN-xV4EnAu9fqwX7MfHD9-vP_c3Xz99ub666f1gxtr7cQx-GDwYzjUMRFLxkQPaYAc9-RCsGUGAtxMHgQYCSjUZjqMEr6y28oK9O-kejtNCO9_OZ5zdIccF8y-XMLq_J2u8c7fp3llpmwWmCbx9FMjp55FKdUssnuYZV0rH4oTmRkgrtf4PFNQfWjVUn1CfUymZwtNHHNxDVG7vnqJyD1G5U1Rt8-q0Sc21-0jZFd9M9bSLubnvdin-U-M3P3efMg</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2706718236</pqid></control><display><type>article</type><title>Real-time automatic detection of starch particles in ambient air</title><source>Elsevier ScienceDirect Journals</source><creator>Šikoparija, Branko ; Matavulj, Predrag ; Mimić, Gordan ; Smith, Matt ; Grewling, Łukasz ; Podraščanin, Zorica</creator><creatorcontrib>Šikoparija, Branko ; Matavulj, Predrag ; Mimić, Gordan ; Smith, Matt ; Grewling, Łukasz ; Podraščanin, Zorica</creatorcontrib><description>•Quantification of starch in ambient air by laser spectroscopy bioaerosol monitoring.•Insights into atmospheric processes via high temporal resolution data.•Identification of sources of airborne particles.•Notable amounts of airborne starch are related to cereal grain storage facilities.
Considerable amounts of starch granules can be present in the atmosphere from both natural and anthropogenic sources. The aim of this study is to investigate the variability and potential origin of starch granules in ambient air recorded at six cities situated in a region with dominantly agricultural land use. This is achieved by using a combination of laser spectroscopy bioaerosol measurements with 1 min temporal resolution, traditional volumetric Hirst type bioaerosol sampling and atmospheric modelling. The analysis of wind roses identified potential sources of airborne starch (i.e., cereal grain storage facilities) in the vicinity of all aerobiological stations analysed in this study. The analysis of the CALPUFF dispersion model confirmed that emission of dust from the location of storage towers situated about 2.5 km north of the aerobiological station in Novi Sad is a plausible source of high airborne concentrations of starch granules. This study is important for environmental health since it contributes body of knowledge about sources, emission, and dispersion of airborne starch, known to be involved in phenomena such as thunderstorm-triggered asthma. The presented approach integrates monitoring and modelling, and provides a roadmap for examining a variety of bioaerosols previously considered to be outside the scope of traditional aerobiological measurements.
[Display omitted]</description><identifier>ISSN: 0168-1923</identifier><identifier>EISSN: 1873-2240</identifier><identifier>DOI: 10.1016/j.agrformet.2022.109034</identifier><identifier>PMID: 36003366</identifier><language>eng</language><publisher>Elsevier B.V</publisher><subject>Aerobiology ; agricultural land ; air ; Airborne starch ; asthma ; automatic detection ; Automatic monitoring ; bioaerosols ; Dispersion modelling ; dust ; Emission sources ; environmental health ; forests ; land use ; meteorology ; spectroscopy</subject><ispartof>Agricultural and forest meteorology, 2022-08, Vol.323, p.109034-109034, Article 109034</ispartof><rights>2022 The Author(s)</rights><rights>2022 The Author(s) 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c485t-c55fc44c0811704ee361510a9f947bcff985020c9b102a80fa36b81a530c69793</citedby><cites>FETCH-LOGICAL-c485t-c55fc44c0811704ee361510a9f947bcff985020c9b102a80fa36b81a530c69793</cites><orcidid>0000-0003-0229-7189 ; 0000-0001-6879-8969 ; 0000-0003-2196-1831</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0168192322002234$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,881,3537,27901,27902,65534</link.rule.ids></links><search><creatorcontrib>Šikoparija, Branko</creatorcontrib><creatorcontrib>Matavulj, Predrag</creatorcontrib><creatorcontrib>Mimić, Gordan</creatorcontrib><creatorcontrib>Smith, Matt</creatorcontrib><creatorcontrib>Grewling, Łukasz</creatorcontrib><creatorcontrib>Podraščanin, Zorica</creatorcontrib><title>Real-time automatic detection of starch particles in ambient air</title><title>Agricultural and forest meteorology</title><description>•Quantification of starch in ambient air by laser spectroscopy bioaerosol monitoring.•Insights into atmospheric processes via high temporal resolution data.•Identification of sources of airborne particles.•Notable amounts of airborne starch are related to cereal grain storage facilities.
Considerable amounts of starch granules can be present in the atmosphere from both natural and anthropogenic sources. The aim of this study is to investigate the variability and potential origin of starch granules in ambient air recorded at six cities situated in a region with dominantly agricultural land use. This is achieved by using a combination of laser spectroscopy bioaerosol measurements with 1 min temporal resolution, traditional volumetric Hirst type bioaerosol sampling and atmospheric modelling. The analysis of wind roses identified potential sources of airborne starch (i.e., cereal grain storage facilities) in the vicinity of all aerobiological stations analysed in this study. The analysis of the CALPUFF dispersion model confirmed that emission of dust from the location of storage towers situated about 2.5 km north of the aerobiological station in Novi Sad is a plausible source of high airborne concentrations of starch granules. This study is important for environmental health since it contributes body of knowledge about sources, emission, and dispersion of airborne starch, known to be involved in phenomena such as thunderstorm-triggered asthma. The presented approach integrates monitoring and modelling, and provides a roadmap for examining a variety of bioaerosols previously considered to be outside the scope of traditional aerobiological measurements.
[Display omitted]</description><subject>Aerobiology</subject><subject>agricultural land</subject><subject>air</subject><subject>Airborne starch</subject><subject>asthma</subject><subject>automatic detection</subject><subject>Automatic monitoring</subject><subject>bioaerosols</subject><subject>Dispersion modelling</subject><subject>dust</subject><subject>Emission sources</subject><subject>environmental health</subject><subject>forests</subject><subject>land use</subject><subject>meteorology</subject><subject>spectroscopy</subject><issn>0168-1923</issn><issn>1873-2240</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNqNkU1rHDEMhk1paTZpf0Pn2MtsZHvGH5fSEPoFgUJpz0bjlRMvM-Ot7Q3039fphkBP7UkgPXol3pexNxy2HLi63G_xNoeUF6pbAUK0rgU5PGMbbrTshRjgOds00vTcCnnGzkvZA3ChtX3JzqQCkFKpDXv_jXDua1yow2NNC9boux1V8jWmtUuhKxWzv-sOmNtoptLFtcNlirTWDmN-xV4EnAu9fqwX7MfHD9-vP_c3Xz99ub666f1gxtr7cQx-GDwYzjUMRFLxkQPaYAc9-RCsGUGAtxMHgQYCSjUZjqMEr6y28oK9O-kejtNCO9_OZ5zdIccF8y-XMLq_J2u8c7fp3llpmwWmCbx9FMjp55FKdUssnuYZV0rH4oTmRkgrtf4PFNQfWjVUn1CfUymZwtNHHNxDVG7vnqJyD1G5U1Rt8-q0Sc21-0jZFd9M9bSLubnvdin-U-M3P3efMg</recordid><startdate>20220815</startdate><enddate>20220815</enddate><creator>Šikoparija, Branko</creator><creator>Matavulj, Predrag</creator><creator>Mimić, Gordan</creator><creator>Smith, Matt</creator><creator>Grewling, Łukasz</creator><creator>Podraščanin, Zorica</creator><general>Elsevier B.V</general><general>Elsevier Science Publishers B.V</general><scope>6I.</scope><scope>AAFTH</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7S9</scope><scope>L.6</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-0229-7189</orcidid><orcidid>https://orcid.org/0000-0001-6879-8969</orcidid><orcidid>https://orcid.org/0000-0003-2196-1831</orcidid></search><sort><creationdate>20220815</creationdate><title>Real-time automatic detection of starch particles in ambient air</title><author>Šikoparija, Branko ; Matavulj, Predrag ; Mimić, Gordan ; Smith, Matt ; Grewling, Łukasz ; Podraščanin, Zorica</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c485t-c55fc44c0811704ee361510a9f947bcff985020c9b102a80fa36b81a530c69793</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Aerobiology</topic><topic>agricultural land</topic><topic>air</topic><topic>Airborne starch</topic><topic>asthma</topic><topic>automatic detection</topic><topic>Automatic monitoring</topic><topic>bioaerosols</topic><topic>Dispersion modelling</topic><topic>dust</topic><topic>Emission sources</topic><topic>environmental health</topic><topic>forests</topic><topic>land use</topic><topic>meteorology</topic><topic>spectroscopy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Šikoparija, Branko</creatorcontrib><creatorcontrib>Matavulj, Predrag</creatorcontrib><creatorcontrib>Mimić, Gordan</creatorcontrib><creatorcontrib>Smith, Matt</creatorcontrib><creatorcontrib>Grewling, Łukasz</creatorcontrib><creatorcontrib>Podraščanin, Zorica</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Agricultural and forest meteorology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Šikoparija, Branko</au><au>Matavulj, Predrag</au><au>Mimić, Gordan</au><au>Smith, Matt</au><au>Grewling, Łukasz</au><au>Podraščanin, Zorica</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Real-time automatic detection of starch particles in ambient air</atitle><jtitle>Agricultural and forest meteorology</jtitle><date>2022-08-15</date><risdate>2022</risdate><volume>323</volume><spage>109034</spage><epage>109034</epage><pages>109034-109034</pages><artnum>109034</artnum><issn>0168-1923</issn><eissn>1873-2240</eissn><abstract>•Quantification of starch in ambient air by laser spectroscopy bioaerosol monitoring.•Insights into atmospheric processes via high temporal resolution data.•Identification of sources of airborne particles.•Notable amounts of airborne starch are related to cereal grain storage facilities.
Considerable amounts of starch granules can be present in the atmosphere from both natural and anthropogenic sources. The aim of this study is to investigate the variability and potential origin of starch granules in ambient air recorded at six cities situated in a region with dominantly agricultural land use. This is achieved by using a combination of laser spectroscopy bioaerosol measurements with 1 min temporal resolution, traditional volumetric Hirst type bioaerosol sampling and atmospheric modelling. The analysis of wind roses identified potential sources of airborne starch (i.e., cereal grain storage facilities) in the vicinity of all aerobiological stations analysed in this study. The analysis of the CALPUFF dispersion model confirmed that emission of dust from the location of storage towers situated about 2.5 km north of the aerobiological station in Novi Sad is a plausible source of high airborne concentrations of starch granules. This study is important for environmental health since it contributes body of knowledge about sources, emission, and dispersion of airborne starch, known to be involved in phenomena such as thunderstorm-triggered asthma. The presented approach integrates monitoring and modelling, and provides a roadmap for examining a variety of bioaerosols previously considered to be outside the scope of traditional aerobiological measurements.
[Display omitted]</abstract><pub>Elsevier B.V</pub><pmid>36003366</pmid><doi>10.1016/j.agrformet.2022.109034</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0003-0229-7189</orcidid><orcidid>https://orcid.org/0000-0001-6879-8969</orcidid><orcidid>https://orcid.org/0000-0003-2196-1831</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0168-1923 |
ispartof | Agricultural and forest meteorology, 2022-08, Vol.323, p.109034-109034, Article 109034 |
issn | 0168-1923 1873-2240 |
language | eng |
recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9391928 |
source | Elsevier ScienceDirect Journals |
subjects | Aerobiology agricultural land air Airborne starch asthma automatic detection Automatic monitoring bioaerosols Dispersion modelling dust Emission sources environmental health forests land use meteorology spectroscopy |
title | Real-time automatic detection of starch particles in ambient air |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-16T00%3A58%3A29IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Real-time%20automatic%20detection%20of%20starch%20particles%20in%20ambient%20air&rft.jtitle=Agricultural%20and%20forest%20meteorology&rft.au=%C5%A0ikoparija,%20Branko&rft.date=2022-08-15&rft.volume=323&rft.spage=109034&rft.epage=109034&rft.pages=109034-109034&rft.artnum=109034&rft.issn=0168-1923&rft.eissn=1873-2240&rft_id=info:doi/10.1016/j.agrformet.2022.109034&rft_dat=%3Cproquest_pubme%3E2706718236%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2706718236&rft_id=info:pmid/36003366&rft_els_id=S0168192322002234&rfr_iscdi=true |