Water-Soluble and Total Sulfur in Particulate Matter Determined by Inductively Coupled Plasma Dynamic Reaction Cell Mass Spectrometry (ICP-DRC-MS)
Suk Fun Kan A and Peter A. Tanner A BA Department of Biology and Chemistry, City University of Hong Kong, Kowloon, Hong Kong SAR, PR China.
B Corresponding author. Email: bhtan@cityu.edu.hk
Environmental Chemistry 3(2) 149-153 https://doi.org/10.1071/EN05076
Submitted: 24 September 2005 Accepted: 10 March 2006 Published: 5 May 2006
Environmental Context. Sulfate in particulate matter is usually collected by a high-volume air sampler and analysed as a soluble extract by ion chromatography. The use of an inductively coupled plasma mass spectrometer fitted with a dynamic reaction cell enables not only the water-soluble, but also the total sulfate to be determined at the same time as the analyses of metal ions. Results from Hong Kong show that sulfate is strongly correlated with crustal species in particulate matter.
Abstract. An instrumental method has been developed for the determination of sulfur in particulate matter using inductively coupled plasma dynamic reaction cell mass spectrometry. The reaction gas O2 was employed to convert S+ into the diatomic species SO+, and analysed at two different mass-to-charge ratios. The limit of detection for the 32S16O+ determination is ~1 ng S m–3. The method has the advantages that not only soluble sulfur (as commonly analysed by ion chromatography) but also total sulfur can be determined on the same instrument as many metal species. The mean values (± standard deviations) for a spring sampling program of particulate matter of diameter less than 10 μm (PM10) in Hong Kong (n = 13) for soluble and total S were 5.2 ± 1.2 μg m–3 and 5.5 ± 1.3 μg m–3 respectively. These values are quite low owing to a predominantly easterly airstream. Sulfur in PM10 is strongly correlated with the crustal species Ca, Al and Mn.
Keywords. : analysis — atomic spectrometry — particulate matter — sulfate — sulfur
Acknowledgements
This work was supported by the City University of Hong Kong Research Grant 9360099.
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