2015
DOI: 10.1021/acs.est.5b01173
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Indoor and Outdoor Levels and Sources of Submicron Particles (PM1) at Homes in Edmonton, Canada

Abstract: Exposure to submicron particles (PM1) is of interest due to their possible chronic and acute health effects. Seven consecutive 24-h PM1 samples were collected during winter and summer 2010 in a total of 74 nonsmoking homes in Edmonton, Canada. Median winter concentrations of PM1 were 2.2 μg/m(3) (interquartile range, IQR = 0.8-6.1 μg/m(3)) and 3.3 μg/m(3) (IQR = 1.5-6.9 μg/m(3)) for indoors and outdoors, respectively. In the summer, indoor (median 4.4 μg/m(3), IQR = 2.4-8.6 μg/m(3)) and outdoor (median 4.3 μg/… Show more

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Cited by 48 publications
(27 citation statements)
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References 81 publications
(136 reference statements)
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“…(3) Multivariate analysis performed in a PCA-CA-LDA sequence separated three groups of household dust samples having distinct characteristics: (i) one group comprising the majority of the outdoor dust samples with a chemical signature (As, Mo) typical of crustal sources; (ii) one group comprising the majority of the indoor dust samples, impacted by biomass burning and mixed anthropogenic sources (Bi, Cu, Cd, Sb, Sn, Hg, Zn, W, Ca) with contributions from sea salts (Na, K) and mineral dust/soil (B), and; (iii) one group made up of both indoor and outdoor dust with a chemical signature indicative of biomass burning (Pb, Se). (4) Stepwise MLR indicates that Zn and Sb concentrations in the indoor dust are the predictor variables for toenail Zn contents. Given the likelihood of a rst-order linear autocorrelation in our multiple linear regression data, the statistical model obtained for toenail Pb was considered unreliable.…”
Section: Resultsmentioning
confidence: 99%
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“…(3) Multivariate analysis performed in a PCA-CA-LDA sequence separated three groups of household dust samples having distinct characteristics: (i) one group comprising the majority of the outdoor dust samples with a chemical signature (As, Mo) typical of crustal sources; (ii) one group comprising the majority of the indoor dust samples, impacted by biomass burning and mixed anthropogenic sources (Bi, Cu, Cd, Sb, Sn, Hg, Zn, W, Ca) with contributions from sea salts (Na, K) and mineral dust/soil (B), and; (iii) one group made up of both indoor and outdoor dust with a chemical signature indicative of biomass burning (Pb, Se). (4) Stepwise MLR indicates that Zn and Sb concentrations in the indoor dust are the predictor variables for toenail Zn contents. Given the likelihood of a rst-order linear autocorrelation in our multiple linear regression data, the statistical model obtained for toenail Pb was considered unreliable.…”
Section: Resultsmentioning
confidence: 99%
“…Various sources have been reported for Group I PTEs, including biomass burning, vehicular traffic (non-exhaust sources such as brake wear, lubricating oils and corrosion of galvanised vehicular parts), cooking fumes, and industrial activities. 4,[71][72][73][74][75] However, given their association with elements such as nickel (Ni), sodium (Na), and especially K (Table S3 †), the most likely are smoke-related sources such as cooking, wood burning in stoves and replaces, agriculture waste burning and res occurring in forested areas. 4,65,76 Whilst wood burning particulate matter emissions are one of the major emitters of K + , 65,76,77 the identication of a biomass burning source is usually possible only through the combined use of levoglucosan and K + data because non-biomass burning sources may contribute signicantly to atmospheric K + .…”
Section: Source Identication and Apportionmentmentioning
confidence: 99%
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“…Dust resuspension tends to emit more mass in the super-micron size range than the submicron range. Indoor particulate source apportionment studies indicate that road dust, soil dust, vehicle emissions, biomass burning, road salts, secondary inorganics, and organic matter from various emission/transport processes are common sources of indoor particulates [12][13][14]. Many of these particles originate outside and infiltrate into the home, while cooking and burning biomass are important indoor sources of organic particulate matter (PM) [5,15].…”
Section: Introductionmentioning
confidence: 99%