X-ray emission spectroscopy applied for bulk and individual analysis of airborne particulates

Valković, V.; Dargie, M.; Jakšić, Milko; Markowicz, A.; Tajani, A.; Valković, Ozren

doi:10.1016/0168-583x(95)01354-7

Cited by 6 publications

(2 citation statements)

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“…Because of the high detection power and the low sample masses required for TXRF analysis, it was used in many studies to characterize and quantify air particulate matter pollution. [2][3][4] Particulate matter (PM) is a complex mixture of extremely small particles and liquid droplets. Particle pollution is made up of a number of components, including acids (such as nitrates and sulfates), organic chemicals, metals and soil or dust particles.…”

Section: Introductionmentioning

confidence: 99%

“…The TXRF is a powerful analysis technique, which is very suitable for small amounts like the ones with aerosol samples. Because of the high detection power and the low sample masses required for TXRF analysis, it was used in many studies to characterize and quantify air particulate matter pollution . Particulate matter (PM) is a complex mixture of extremely small particles and liquid droplets.…”

Section: Introductionmentioning

confidence: 99%

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TXRF characterization and source identification by positive matrix factorization of airborne particulate matter sampled in Kenitra City (Morocco)

et al. 2013

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15th European X-Ray Spectrometry Conference (EXRS), Vienna, AUSTRIA, JUN 18-22, 2012International audienceSamples of fine and coarse fraction of airborne particulate matter were collected on weekly basis during the period from February 2007 to February 2008 in Kenitra City, Morocco. The samples were collected using a Gent stacked filter sampler in two fractions (<2.5 mu m, fine and 2.5-10 mu m, coarse). The samples were analyzed for their elemental composition by total reflection X-ray fluorescence. The data set was then analyzed by the factor analysis method, positive matrix factorization to identify the possible sources of particulate matter and their contribution to the ambient particulate matter concentrations in Kenitra City. Four factors from positive matrix factorization solutions were found for elemental composition of fine and coarse particulate matter at the Kenitra site. In the case of fine particles, metal smelting sources contribute about 52% of the fine mass. The road dust contributes to about 22% and the rest 26% comprises emissions from motor vehicles and soil dust. In the case of coarse particles, soil dust contributes about 43% and the two stroke engines about 42% of the coarse mass, whereas road dust and motor vehicles apportioned to be about 10 and 4%, respectively. Copyright (c) 2013 John Wiley & Sons, Ltd

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%