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Using a Modified Electrical Aerosol Detector To Predict Nanoparticle Exposures to Different Regions of the Respiratory Tract for Workers in a Carbon Black Manufacturing Industry
The present study was set out to characterize nanoparticle exposures in three selected workplaces of the packaging, warehouse, and pelletizing in a carbon black manufacturing plant using a newly developed modified electrical aerosol detector (MEAD). For confirmation purposes, the MEAD results were c...
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Published in: | Environmental science & technology 2010-09, Vol.44 (17), p.6767-6774 |
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description | The present study was set out to characterize nanoparticle exposures in three selected workplaces of the packaging, warehouse, and pelletizing in a carbon black manufacturing plant using a newly developed modified electrical aerosol detector (MEAD). For confirmation purposes, the MEAD results were compared with those simultaneously obtained from a nanoparticle surface area monitor (NSAM) and a scanning mobility particle sizer (SMPS). We found that workplace background nanoparticle concentrations were mainly coming from the outdoor environment. Size distributions of nanoparticles for the three selected process areas during the work hours were consistently in the form of bimodel. Unlike nanoparticles of the second mode (simply contributed by the process emissions), particles of the first mode could be also contributed by the forklift exhaust or fugitive emissions of heaters. The percents of nanoparticles deposited on the alveolar (A) region were much higher than the other two regions of the head airway (H), tracheobronchial (TB) for all selected workplaces in both number and surface area concentrations. However, significant differences were found in percents of nanoparticles deposited on each of the three regions while different exposure metrics were adopted. Both NSAM and MEAD obtained quite comparable results. No significant difference can be found between the results obtained from SMPS and MEAD after being normalized. Considering the MEAD is less expensive, less bulky, and easy to use, our results further support the suitability of using MEAD in the field for nanoparticle exposure assessments. |
doi_str_mv | 10.1021/es1010175 |
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However, significant differences were found in percents of nanoparticles deposited on each of the three regions while different exposure metrics were adopted. Both NSAM and MEAD obtained quite comparable results. No significant difference can be found between the results obtained from SMPS and MEAD after being normalized. 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Toxic occupational diseases ; Electrical Equipment and Supplies ; Environmental Measurements Methods ; Environmental Monitoring - instrumentation ; Environmental science ; Exact sciences and technology ; Humans ; Industry - manpower ; Inhalation Exposure - analysis ; Inorganic dusts (pneumoconiosises) and organic dusts (byssinosis etc.) ; Manual workers ; Manufacturing ; Medical sciences ; Nanoparticles ; Nanoparticles - analysis ; Occupational health ; Particle Size ; Pollution ; Reproducibility of Results ; Respiratory system ; Respiratory System - anatomy & histology ; Sensors ; Soot - administration & dosage ; Soot - adverse effects ; Surface Properties ; Toxicology ; Workplace</subject><ispartof>Environmental science & technology, 2010-09, Vol.44 (17), p.6767-6774</ispartof><rights>Copyright © 2010 American Chemical Society</rights><rights>2015 INIST-CNRS</rights><rights>Copyright American Chemical Society Sep 1, 2010</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a412t-3f63f5c4b3aaddabd585b60f50979ac8e89a11f5a79651e72a1ecf5fa8a09bc63</citedby><cites>FETCH-LOGICAL-a412t-3f63f5c4b3aaddabd585b60f50979ac8e89a11f5a79651e72a1ecf5fa8a09bc63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=23195290$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20704279$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wang, Ying-Fang</creatorcontrib><creatorcontrib>Tsai, Perng-Jy</creatorcontrib><creatorcontrib>Chen, Chun-Wan</creatorcontrib><creatorcontrib>Chen, Da-Ren</creatorcontrib><creatorcontrib>Hsu, Der-Jen</creatorcontrib><title>Using a Modified Electrical Aerosol Detector To Predict Nanoparticle Exposures to Different Regions of the Respiratory Tract for Workers in a Carbon Black Manufacturing Industry</title><title>Environmental science & technology</title><addtitle>Environ. Sci. Technol</addtitle><description>The present study was set out to characterize nanoparticle exposures in three selected workplaces of the packaging, warehouse, and pelletizing in a carbon black manufacturing plant using a newly developed modified electrical aerosol detector (MEAD). For confirmation purposes, the MEAD results were compared with those simultaneously obtained from a nanoparticle surface area monitor (NSAM) and a scanning mobility particle sizer (SMPS). We found that workplace background nanoparticle concentrations were mainly coming from the outdoor environment. Size distributions of nanoparticles for the three selected process areas during the work hours were consistently in the form of bimodel. Unlike nanoparticles of the second mode (simply contributed by the process emissions), particles of the first mode could be also contributed by the forklift exhaust or fugitive emissions of heaters. The percents of nanoparticles deposited on the alveolar (A) region were much higher than the other two regions of the head airway (H), tracheobronchial (TB) for all selected workplaces in both number and surface area concentrations. However, significant differences were found in percents of nanoparticles deposited on each of the three regions while different exposure metrics were adopted. Both NSAM and MEAD obtained quite comparable results. No significant difference can be found between the results obtained from SMPS and MEAD after being normalized. Considering the MEAD is less expensive, less bulky, and easy to use, our results further support the suitability of using MEAD in the field for nanoparticle exposure assessments.</description><subject>Aerosols</subject><subject>Aerosols - analysis</subject><subject>Air Pollutants, Occupational - analysis</subject><subject>Applied sciences</subject><subject>Biological and medical sciences</subject><subject>Carbon</subject><subject>Carbon black</subject><subject>Chemical and industrial products toxicology. Toxic occupational diseases</subject><subject>Electrical Equipment and Supplies</subject><subject>Environmental Measurements Methods</subject><subject>Environmental Monitoring - instrumentation</subject><subject>Environmental science</subject><subject>Exact sciences and technology</subject><subject>Humans</subject><subject>Industry - manpower</subject><subject>Inhalation Exposure - analysis</subject><subject>Inorganic dusts (pneumoconiosises) and organic dusts (byssinosis etc.)</subject><subject>Manual workers</subject><subject>Manufacturing</subject><subject>Medical sciences</subject><subject>Nanoparticles</subject><subject>Nanoparticles - analysis</subject><subject>Occupational health</subject><subject>Particle Size</subject><subject>Pollution</subject><subject>Reproducibility of Results</subject><subject>Respiratory system</subject><subject>Respiratory System - anatomy & histology</subject><subject>Sensors</subject><subject>Soot - administration & dosage</subject><subject>Soot - adverse effects</subject><subject>Surface Properties</subject><subject>Toxicology</subject><subject>Workplace</subject><issn>0013-936X</issn><issn>1520-5851</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNplkV1rFDEUhoModq1e-AckCCJejCYzk_m4bLerFloV2aJ3w5nMSU07m4wnGXB_lv_QLF27oOQi5PDw5OW8jD2X4q0UuXyHQYp0avWALaTKRaYaJR-yhRCyyNqi-n7EnoRwI4TIC9E8Zke5qEWZ1-2C_b4K1l1z4Jd-sMbiwFcj6khWw8hPkHzwIz_DmGae-NrzL4SD1ZF_AucnoGj1iHz1a_JhJgw8en5mjUFCF_lXvLbeBe4Njz8wPcNkCZJoy9cESWKS85unW6TArUsplkC9d_x0BH3LL8HNJmEz7SKeu2EOkbZP2SMDY8Bn-_uYXb1frZcfs4vPH86XJxcZlDKPWWGqwihd9gXAMEA_pJ30lTBKtHULusGmBSmNgrqtlMQ6B4naKAMNiLbXVXHMXt95J_I_Zwyx29igcRzBoZ9DV6tSyKYpduTLf8gbP5NL4RIkm6ouG5mgN3eQTjsNhKabyG6Atp0U3a7F7r7FxL7YC-d-g8M9-be2BLzaAxBSUYbAaRsOXCFblbfiwIEOh1D_f_gHoUSy0w</recordid><startdate>20100901</startdate><enddate>20100901</enddate><creator>Wang, Ying-Fang</creator><creator>Tsai, Perng-Jy</creator><creator>Chen, Chun-Wan</creator><creator>Chen, Da-Ren</creator><creator>Hsu, Der-Jen</creator><general>American Chemical Society</general><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7ST</scope><scope>7T7</scope><scope>7U7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope><scope>SOI</scope><scope>7X8</scope></search><sort><creationdate>20100901</creationdate><title>Using a Modified Electrical Aerosol Detector To Predict Nanoparticle Exposures to Different Regions of the Respiratory Tract for Workers in a Carbon Black Manufacturing Industry</title><author>Wang, Ying-Fang ; Tsai, Perng-Jy ; Chen, Chun-Wan ; Chen, Da-Ren ; Hsu, Der-Jen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a412t-3f63f5c4b3aaddabd585b60f50979ac8e89a11f5a79651e72a1ecf5fa8a09bc63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Aerosols</topic><topic>Aerosols - analysis</topic><topic>Air Pollutants, Occupational - analysis</topic><topic>Applied sciences</topic><topic>Biological and medical sciences</topic><topic>Carbon</topic><topic>Carbon black</topic><topic>Chemical and industrial products toxicology. Toxic occupational diseases</topic><topic>Electrical Equipment and Supplies</topic><topic>Environmental Measurements Methods</topic><topic>Environmental Monitoring - instrumentation</topic><topic>Environmental science</topic><topic>Exact sciences and technology</topic><topic>Humans</topic><topic>Industry - manpower</topic><topic>Inhalation Exposure - analysis</topic><topic>Inorganic dusts (pneumoconiosises) and organic dusts (byssinosis etc.)</topic><topic>Manual workers</topic><topic>Manufacturing</topic><topic>Medical sciences</topic><topic>Nanoparticles</topic><topic>Nanoparticles - analysis</topic><topic>Occupational health</topic><topic>Particle Size</topic><topic>Pollution</topic><topic>Reproducibility of Results</topic><topic>Respiratory system</topic><topic>Respiratory System - anatomy & histology</topic><topic>Sensors</topic><topic>Soot - administration & dosage</topic><topic>Soot - adverse effects</topic><topic>Surface Properties</topic><topic>Toxicology</topic><topic>Workplace</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Ying-Fang</creatorcontrib><creatorcontrib>Tsai, Perng-Jy</creatorcontrib><creatorcontrib>Chen, Chun-Wan</creatorcontrib><creatorcontrib>Chen, Da-Ren</creatorcontrib><creatorcontrib>Hsu, Der-Jen</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Toxicology Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environment Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Environmental science & technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Ying-Fang</au><au>Tsai, Perng-Jy</au><au>Chen, Chun-Wan</au><au>Chen, Da-Ren</au><au>Hsu, Der-Jen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Using a Modified Electrical Aerosol Detector To Predict Nanoparticle Exposures to Different Regions of the Respiratory Tract for Workers in a Carbon Black Manufacturing Industry</atitle><jtitle>Environmental science & technology</jtitle><addtitle>Environ. Sci. Technol</addtitle><date>2010-09-01</date><risdate>2010</risdate><volume>44</volume><issue>17</issue><spage>6767</spage><epage>6774</epage><pages>6767-6774</pages><issn>0013-936X</issn><eissn>1520-5851</eissn><coden>ESTHAG</coden><abstract>The present study was set out to characterize nanoparticle exposures in three selected workplaces of the packaging, warehouse, and pelletizing in a carbon black manufacturing plant using a newly developed modified electrical aerosol detector (MEAD). For confirmation purposes, the MEAD results were compared with those simultaneously obtained from a nanoparticle surface area monitor (NSAM) and a scanning mobility particle sizer (SMPS). We found that workplace background nanoparticle concentrations were mainly coming from the outdoor environment. Size distributions of nanoparticles for the three selected process areas during the work hours were consistently in the form of bimodel. Unlike nanoparticles of the second mode (simply contributed by the process emissions), particles of the first mode could be also contributed by the forklift exhaust or fugitive emissions of heaters. The percents of nanoparticles deposited on the alveolar (A) region were much higher than the other two regions of the head airway (H), tracheobronchial (TB) for all selected workplaces in both number and surface area concentrations. However, significant differences were found in percents of nanoparticles deposited on each of the three regions while different exposure metrics were adopted. Both NSAM and MEAD obtained quite comparable results. No significant difference can be found between the results obtained from SMPS and MEAD after being normalized. Considering the MEAD is less expensive, less bulky, and easy to use, our results further support the suitability of using MEAD in the field for nanoparticle exposure assessments.</abstract><cop>Washington, DC</cop><pub>American Chemical Society</pub><pmid>20704279</pmid><doi>10.1021/es1010175</doi><tpages>8</tpages></addata></record> |
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subjects | Aerosols Aerosols - analysis Air Pollutants, Occupational - analysis Applied sciences Biological and medical sciences Carbon Carbon black Chemical and industrial products toxicology. Toxic occupational diseases Electrical Equipment and Supplies Environmental Measurements Methods Environmental Monitoring - instrumentation Environmental science Exact sciences and technology Humans Industry - manpower Inhalation Exposure - analysis Inorganic dusts (pneumoconiosises) and organic dusts (byssinosis etc.) Manual workers Manufacturing Medical sciences Nanoparticles Nanoparticles - analysis Occupational health Particle Size Pollution Reproducibility of Results Respiratory system Respiratory System - anatomy & histology Sensors Soot - administration & dosage Soot - adverse effects Surface Properties Toxicology Workplace |
title | Using a Modified Electrical Aerosol Detector To Predict Nanoparticle Exposures to Different Regions of the Respiratory Tract for Workers in a Carbon Black Manufacturing Industry |
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