Evaluation of airborne particulate matter and metals data in personal, indoor and outdoor environments using ED-XRF and ICP-MS and co-located duplicate samples
Factors and sources affecting measurement uncertainty associated with monitoring metals in airborne particulate matter (PM) were investigated as part of the Windsor, Ontario Exposure Assessment Study (WOEAS). The assessment was made using co-located duplicate samples and a comparison of two analytic...
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description | Factors and sources affecting measurement uncertainty associated with monitoring metals in airborne particulate matter (PM) were investigated as part of the Windsor, Ontario Exposure Assessment Study (WOEAS). The assessment was made using co-located duplicate samples and a comparison of two analytical approaches: ED-XRF and ICP-MS. Sampling variability was estimated using relative percent difference (RPD) of co-located duplicate samples. The comparison of ICP-MS and ED-XRF results yields very good correlations (
R
2 ≥ 0.7) for elements present at concentrations that pass both ICP-MS and ED-XRF detection limits (e.g. Fe, Mn, Zn, Pb and Cu). PM concentration ranges (median, sample number) of 24-h indoor PM
10 and personal PM
10 filters, and outdoor PM
2.5 filters were determined to be 2.2–40.7 (11.0,
n = 48) μg m
−3, 8.0–48.3 (11.9,
n = 48) μg m
−3, and 17.1–42.3 (21.6,
n = 18) μg m
−3, respectively. The gravimetric analytical results reveal that the variations in PM mass measurements for same-day sampling are insignificant compared to temporal or spatial variations: 92%, 100% and 96% of indoor, outdoor and personal duplicate samples, respectively, pass the quality criteria (RPD ≤ 20%). Uncertainties associated with ED-XRF elemental measurements of S, Ca, Mn, Fe and Zn for 24-h filter samples are low: 78%–100% of the duplicate samples passed the quality criteria. In the case of 24-h filter samples using ICP-MS, more elements passed the quality criteria due to the lower detection limits. These were: Li, Na, K, Ca, Si, Al, V, Fe, Mn, Co, Cu, Mo, Ag, Zn, Pb, As, Mg, Sb, Sn, Sr, Th, Ti, Tl, and U. Low air concentrations of metals (near or below instrumental detection limits) and/or inadvertent introduction of metal contamination are the main causes for excluding elements based on the pass/fail criteria. Uncertainty associated with elemental measurements must be assessed on an element-by-element basis. |
doi_str_mv | 10.1016/j.atmosenv.2009.10.009 |
format | Article |
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R
2 ≥ 0.7) for elements present at concentrations that pass both ICP-MS and ED-XRF detection limits (e.g. Fe, Mn, Zn, Pb and Cu). PM concentration ranges (median, sample number) of 24-h indoor PM
10 and personal PM
10 filters, and outdoor PM
2.5 filters were determined to be 2.2–40.7 (11.0,
n = 48) μg m
−3, 8.0–48.3 (11.9,
n = 48) μg m
−3, and 17.1–42.3 (21.6,
n = 18) μg m
−3, respectively. The gravimetric analytical results reveal that the variations in PM mass measurements for same-day sampling are insignificant compared to temporal or spatial variations: 92%, 100% and 96% of indoor, outdoor and personal duplicate samples, respectively, pass the quality criteria (RPD ≤ 20%). Uncertainties associated with ED-XRF elemental measurements of S, Ca, Mn, Fe and Zn for 24-h filter samples are low: 78%–100% of the duplicate samples passed the quality criteria. In the case of 24-h filter samples using ICP-MS, more elements passed the quality criteria due to the lower detection limits. These were: Li, Na, K, Ca, Si, Al, V, Fe, Mn, Co, Cu, Mo, Ag, Zn, Pb, As, Mg, Sb, Sn, Sr, Th, Ti, Tl, and U. Low air concentrations of metals (near or below instrumental detection limits) and/or inadvertent introduction of metal contamination are the main causes for excluding elements based on the pass/fail criteria. Uncertainty associated with elemental measurements must be assessed on an element-by-element basis.</description><identifier>ISSN: 1352-2310</identifier><identifier>EISSN: 1873-2844</identifier><identifier>DOI: 10.1016/j.atmosenv.2009.10.009</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Air pollution ; Air. Soil. Water. Waste. Feeding ; Applied sciences ; Atmospheric pollution ; Biological and medical sciences ; Criteria ; ED-XRF ; Environment. Living conditions ; Exact sciences and technology ; Exposure assessment ; ICP-MS ; Indoor ; Iron ; Manganese ; Medical sciences ; Metals ; Outdoor ; Particulate matter ; Pollutants physicochemistry study: properties, effects, reactions, transport and distribution ; Pollution ; Public health. Hygiene ; Public health. Hygiene-occupational medicine ; Reproduction ; Uncertainty ; Zinc</subject><ispartof>Atmospheric environment (1994), 2010, Vol.44 (2), p.235-245</ispartof><rights>2009 Elsevier Ltd</rights><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c374t-56ce248be0bf6f2ca369368bf545e7d61d3d843544977f3ced2e73e0060eb3ba3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S1352231009008577$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,4010,27900,27901,27902,65306</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=22324200$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Niu, Jianjun</creatorcontrib><creatorcontrib>Rasmussen, Pat E.</creatorcontrib><creatorcontrib>Wheeler, Amanda</creatorcontrib><creatorcontrib>Williams, Ron</creatorcontrib><creatorcontrib>Chénier, Marc</creatorcontrib><title>Evaluation of airborne particulate matter and metals data in personal, indoor and outdoor environments using ED-XRF and ICP-MS and co-located duplicate samples</title><title>Atmospheric environment (1994)</title><description>Factors and sources affecting measurement uncertainty associated with monitoring metals in airborne particulate matter (PM) were investigated as part of the Windsor, Ontario Exposure Assessment Study (WOEAS). The assessment was made using co-located duplicate samples and a comparison of two analytical approaches: ED-XRF and ICP-MS. Sampling variability was estimated using relative percent difference (RPD) of co-located duplicate samples. The comparison of ICP-MS and ED-XRF results yields very good correlations (
R
2 ≥ 0.7) for elements present at concentrations that pass both ICP-MS and ED-XRF detection limits (e.g. Fe, Mn, Zn, Pb and Cu). PM concentration ranges (median, sample number) of 24-h indoor PM
10 and personal PM
10 filters, and outdoor PM
2.5 filters were determined to be 2.2–40.7 (11.0,
n = 48) μg m
−3, 8.0–48.3 (11.9,
n = 48) μg m
−3, and 17.1–42.3 (21.6,
n = 18) μg m
−3, respectively. The gravimetric analytical results reveal that the variations in PM mass measurements for same-day sampling are insignificant compared to temporal or spatial variations: 92%, 100% and 96% of indoor, outdoor and personal duplicate samples, respectively, pass the quality criteria (RPD ≤ 20%). Uncertainties associated with ED-XRF elemental measurements of S, Ca, Mn, Fe and Zn for 24-h filter samples are low: 78%–100% of the duplicate samples passed the quality criteria. In the case of 24-h filter samples using ICP-MS, more elements passed the quality criteria due to the lower detection limits. These were: Li, Na, K, Ca, Si, Al, V, Fe, Mn, Co, Cu, Mo, Ag, Zn, Pb, As, Mg, Sb, Sn, Sr, Th, Ti, Tl, and U. Low air concentrations of metals (near or below instrumental detection limits) and/or inadvertent introduction of metal contamination are the main causes for excluding elements based on the pass/fail criteria. Uncertainty associated with elemental measurements must be assessed on an element-by-element basis.</description><subject>Air pollution</subject><subject>Air. Soil. Water. Waste. Feeding</subject><subject>Applied sciences</subject><subject>Atmospheric pollution</subject><subject>Biological and medical sciences</subject><subject>Criteria</subject><subject>ED-XRF</subject><subject>Environment. Living conditions</subject><subject>Exact sciences and technology</subject><subject>Exposure assessment</subject><subject>ICP-MS</subject><subject>Indoor</subject><subject>Iron</subject><subject>Manganese</subject><subject>Medical sciences</subject><subject>Metals</subject><subject>Outdoor</subject><subject>Particulate matter</subject><subject>Pollutants physicochemistry study: properties, effects, reactions, transport and distribution</subject><subject>Pollution</subject><subject>Public health. Hygiene</subject><subject>Public health. Hygiene-occupational medicine</subject><subject>Reproduction</subject><subject>Uncertainty</subject><subject>Zinc</subject><issn>1352-2310</issn><issn>1873-2844</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNqFkcFu1DAQhiMEEmXhFZAviAtZHNuJszfQdguViloVkLhZE3uCvHLsYDsr9Wl4Vby7hSun-T36xv_Yf1W9bui6oU33fr-GPIWE_rBmlG5Kc13Kk-qi6SWvWS_E06J5y2rGG_q8epHSnlLK5UZeVL93B3ALZBs8CSMBG4cQPZIZYrZ6cZCRTJAzRgLekAkzuEQMZCDWkxljCh7cu3IwIZyZsOSTLgvZGPyEPieyJOt_kt1l_eP-6kRdb-_qL19PUofaBV2cDDHL7OxRkgTT7DC9rJ6NxRFfPdZV9f1q9237ub65_XS9_XhTay5FrttOIxP9gHQYu5Fp4N2Gd_0wtqJFabrGcNML3gqxkXLkGg1DyZHSjuLAB-Cr6u353jmGXwumrCabNDoHHsOSlBQdpYyVH11V3ZnUMaQUcVRztBPEB9VQdQxE7dXfQNQxkGO_lDL45tECkgY3RvDapn_TjHEmCl-4D2cOy3sPFqNK2qIvO9uIOisT7P-s_gCUfKea</recordid><startdate>2010</startdate><enddate>2010</enddate><creator>Niu, Jianjun</creator><creator>Rasmussen, Pat E.</creator><creator>Wheeler, Amanda</creator><creator>Williams, Ron</creator><creator>Chénier, Marc</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SU</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>H8D</scope><scope>KR7</scope><scope>L7M</scope></search><sort><creationdate>2010</creationdate><title>Evaluation of airborne particulate matter and metals data in personal, indoor and outdoor environments using ED-XRF and ICP-MS and co-located duplicate samples</title><author>Niu, Jianjun ; Rasmussen, Pat E. ; Wheeler, Amanda ; Williams, Ron ; Chénier, Marc</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c374t-56ce248be0bf6f2ca369368bf545e7d61d3d843544977f3ced2e73e0060eb3ba3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Air pollution</topic><topic>Air. Soil. Water. Waste. Feeding</topic><topic>Applied sciences</topic><topic>Atmospheric pollution</topic><topic>Biological and medical sciences</topic><topic>Criteria</topic><topic>ED-XRF</topic><topic>Environment. Living conditions</topic><topic>Exact sciences and technology</topic><topic>Exposure assessment</topic><topic>ICP-MS</topic><topic>Indoor</topic><topic>Iron</topic><topic>Manganese</topic><topic>Medical sciences</topic><topic>Metals</topic><topic>Outdoor</topic><topic>Particulate matter</topic><topic>Pollutants physicochemistry study: properties, effects, reactions, transport and distribution</topic><topic>Pollution</topic><topic>Public health. Hygiene</topic><topic>Public health. Hygiene-occupational medicine</topic><topic>Reproduction</topic><topic>Uncertainty</topic><topic>Zinc</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Niu, Jianjun</creatorcontrib><creatorcontrib>Rasmussen, Pat E.</creatorcontrib><creatorcontrib>Wheeler, Amanda</creatorcontrib><creatorcontrib>Williams, Ron</creatorcontrib><creatorcontrib>Chénier, Marc</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Environmental Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Atmospheric environment (1994)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Niu, Jianjun</au><au>Rasmussen, Pat E.</au><au>Wheeler, Amanda</au><au>Williams, Ron</au><au>Chénier, Marc</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluation of airborne particulate matter and metals data in personal, indoor and outdoor environments using ED-XRF and ICP-MS and co-located duplicate samples</atitle><jtitle>Atmospheric environment (1994)</jtitle><date>2010</date><risdate>2010</risdate><volume>44</volume><issue>2</issue><spage>235</spage><epage>245</epage><pages>235-245</pages><issn>1352-2310</issn><eissn>1873-2844</eissn><abstract>Factors and sources affecting measurement uncertainty associated with monitoring metals in airborne particulate matter (PM) were investigated as part of the Windsor, Ontario Exposure Assessment Study (WOEAS). The assessment was made using co-located duplicate samples and a comparison of two analytical approaches: ED-XRF and ICP-MS. Sampling variability was estimated using relative percent difference (RPD) of co-located duplicate samples. The comparison of ICP-MS and ED-XRF results yields very good correlations (
R
2 ≥ 0.7) for elements present at concentrations that pass both ICP-MS and ED-XRF detection limits (e.g. Fe, Mn, Zn, Pb and Cu). PM concentration ranges (median, sample number) of 24-h indoor PM
10 and personal PM
10 filters, and outdoor PM
2.5 filters were determined to be 2.2–40.7 (11.0,
n = 48) μg m
−3, 8.0–48.3 (11.9,
n = 48) μg m
−3, and 17.1–42.3 (21.6,
n = 18) μg m
−3, respectively. The gravimetric analytical results reveal that the variations in PM mass measurements for same-day sampling are insignificant compared to temporal or spatial variations: 92%, 100% and 96% of indoor, outdoor and personal duplicate samples, respectively, pass the quality criteria (RPD ≤ 20%). Uncertainties associated with ED-XRF elemental measurements of S, Ca, Mn, Fe and Zn for 24-h filter samples are low: 78%–100% of the duplicate samples passed the quality criteria. In the case of 24-h filter samples using ICP-MS, more elements passed the quality criteria due to the lower detection limits. These were: Li, Na, K, Ca, Si, Al, V, Fe, Mn, Co, Cu, Mo, Ag, Zn, Pb, As, Mg, Sb, Sn, Sr, Th, Ti, Tl, and U. Low air concentrations of metals (near or below instrumental detection limits) and/or inadvertent introduction of metal contamination are the main causes for excluding elements based on the pass/fail criteria. Uncertainty associated with elemental measurements must be assessed on an element-by-element basis.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.atmosenv.2009.10.009</doi><tpages>11</tpages></addata></record> |
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subjects | Air pollution Air. Soil. Water. Waste. Feeding Applied sciences Atmospheric pollution Biological and medical sciences Criteria ED-XRF Environment. Living conditions Exact sciences and technology Exposure assessment ICP-MS Indoor Iron Manganese Medical sciences Metals Outdoor Particulate matter Pollutants physicochemistry study: properties, effects, reactions, transport and distribution Pollution Public health. Hygiene Public health. Hygiene-occupational medicine Reproduction Uncertainty Zinc |
title | Evaluation of airborne particulate matter and metals data in personal, indoor and outdoor environments using ED-XRF and ICP-MS and co-located duplicate samples |
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