Simple method for the dissolution of atmospheric aerosol samples for analysis by inductively coupled plasma mass spectrometry

Jalkanen, Liisa; Häsänen, Erkki

doi:10.1039/ja9961100365

Cited by 63 publications

(33 citation statements)

References 6 publications

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“…A significant deviation was found only for Al, which was determined by ICP-AES and is present at a high level also in the blank filter. The recovery obtained in this work for Cr is quite different from those reported by Yamashige and Yamamoto (5) and Jalkanen and Hasanen (6). In our opinion, use of a strong acid mixture in highpressure vessels without any extra evaporation step may prevent the loss of this element during digestion.…”

Section: Resultscontrasting

confidence: 81%

Determination of Trace Elements in Power Plant Emissions by Inductively Coupled Plasma Mass Spectrometry: Comparison with Other Spectrometric Techniques

Bettinelli

Spezia

Baroni

et al. 1998

Microchemical Journal

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Section: Resultscontrasting

confidence: 81%

Determination of Trace Elements in Power Plant Emissions by Inductively Coupled Plasma Mass Spectrometry: Comparison with Other Spectrometric Techniques

Bettinelli

Spezia

Baroni

et al. 1998

Microchemical Journal

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“…The method detection limit (MDL) for each pollutant method was defined as three times the standard deviation of the reagent blank (N > 6) concentrations (Jalkanen and H€ as€ anen, 1996;Feng, 2012) and the field detection limit (FDL) was defined as three times the standard deviation of the field blanks. Blank corrections were applied to PM 1.0 components when more than 50% of the field blanks (N ¼ 9) were greater than the method detection limit (MDL).…”

Section: Sample Collection and Analysismentioning

confidence: 99%

Development of land-use regression models for metals associated with airborne particulate matter in a North American city

Zhang

Sun

Barrett

et al. 2015

Atmospheric Environment

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h i g h l i g h t s PM 1.0 -components displayed significant intra-urban variability in Calgary, Alberta. Land-use regression models were developed for 30 elements in summer and winter. 12 elements had models with R 2 > 0.7 in both seasons; 24 had R 2 > 0.5 in both seasons. Industrial sources were major predictors, as well as traffic, land-use, and wind. Interspecies dependencies were similar for measured and modeled pollutant data. a b s t r a c tAirborne particulate matter has been associated with cardiovascular and respiratory morbidity and mortality, and there is evidence that metals may contribute to these adverse health effects. However, there are few tools for assessing exposure to airborne metals. Land-use regression modeling has been widely used to estimate exposure to gaseous pollutants. This study developed seasonal land-use regression (LUR) models to characterize the spatial distribution of trace metals and other elements associated with airborne particulate matter in Calgary, Alberta.Two-week integrated measurements of particulate matter with <1.0 mm in aerodynamic diameter (PM 1.0 ) were collected in the City of Calgary at 25 sites in August 2010 and 29 sites in January 2011. PM 1.0 filters were analyzed using inductively-coupled plasma mass spectrometry. Industrial sources were obtained through the National Pollutant Release Inventory and their locations verified using Google Maps. Traffic volume data were obtained from the City of Calgary and zoning data were obtained from Desktop Mapping Technologies Incorporated. Seasonal wind direction was incorporated using wind rose shapes produced by Wind Rose PRO3, and predictor variables were generated using ArcMap-10.1. Summer and winter LUR models for 30 PM 1.0 components were developed using SAS 9.2.We observed significant intra-urban gradients for metals associated with airborne particulate matter in Calgary, Alberta. LUR models explained a high proportion of the spatial variability in those PM 1.0 components. Summer models performed slightly better than winter models. However, 24 of the 30 PM 1.0 related elements had models that were either good (R 2 > 0.70) or acceptable (R 2 > 0.50) in both seasons. Industrial point-sources were the most influential predictor for the majority of PM 1.0 components. Industrial and commercial zoning were also significant predictors, while traffic indicators and population density had a modest but significant contribution for most elements. Variables incorporating wind direction were also significant predictors. These findings contrast with LUR models for PM and gaseous pollutants in which traffic indicators are typically the most important predictors of ambient concentrations.These results suggest that airborne PM components vary spatially with the distribution of local industrial sources and that LUR modeling can be used to predict local concentrations of these airborne BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/ 4.0/). Atmospheric Environment 106 (2015) 165e177 elements. These models will support ...

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“…Extractants were cooled to room temperature, centrifuged at 3,500 rpm for 20 min, and separated for element determination. The same filter containing the remaining non-soluble sample fraction was then ultrasonically digested using a HF-HNO 3 acid mixture in a hot water bath (60°C) for 5-7 days, with two 30-min ultrasonication intervals (modified after Jalkanen and Häsänen 1996).…”

Section: Filter Digestion Extraction and Multi-element Determinationmentioning

confidence: 99%

Concentration Distribution and Bioaccessibility of Trace Elements in Nano and Fine Urban Airborne Particulate Matter: Influence of Particle Size

Niu

Rasmussen

Hassan

et al. 2010

Water Air Soil Pollut

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Trace elements, especially those associated with fine particles in airborne particulate matter (PM), may play an important role in PM adverse health effect. The aim of this paper is to characterize elements in a wide particle size range from nano (57-100 nm) to fine (100-1,000 nm) and to coarse (1,000-10,000 nm) fractions of two urban PM samples collected in Ottawa. Size-selective particle sampling was performed using a micro-orifice uniform deposit impactor, and element concentrations were determined in each different size fraction by inductively coupled plasma-mass spectroscopy. A general trend of increasing element concentration with decreasing aerodynamic diameter was observed for elements V, Mn, Ni, Cu, Zn, Se, and Cd, indicating they were predominately concentrated in the nanoparticle size range. Other elements including Fe, Sr, Mo, Sn, Sb, Ba, and Pb were predominately concentrated in the fine-size range. Increased concentration of elements in the nano and fine particle size range is significant due to their ability to penetrate into the deepest alveolar area of the lungs. This was confirmed by the calculation of median concentration diameters, which were less than 800 nm for most of the investigated elements. Particle size distribution and element correlation analysis suggest that the elements concentrated in the nano-and fine-size fractions originated mainly from vehicular combustion and emission. Long-range airborne transport and soil or road dust resuspension may also contribute. Particle size had an important effect on element bioaccessibility for the studied urban PM samples showing a general trend of increasing element bioaccessibility with decreasing particle size. These results emphasize the importance of acquiring information on nano and/or fine PM-bound elements and their bioaccessibilities for accurate element and PM exposure assessment.

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Simple method for the dissolution of atmospheric aerosol samples for analysis by inductively coupled plasma mass spectrometry

Cited by 63 publications

References 6 publications

Determination of Trace Elements in Power Plant Emissions by Inductively Coupled Plasma Mass Spectrometry: Comparison with Other Spectrometric Techniques

Determination of Trace Elements in Power Plant Emissions by Inductively Coupled Plasma Mass Spectrometry: Comparison with Other Spectrometric Techniques

Development of land-use regression models for metals associated with airborne particulate matter in a North American city

Concentration Distribution and Bioaccessibility of Trace Elements in Nano and Fine Urban Airborne Particulate Matter: Influence of Particle Size

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