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Application of double-focusing sector field ICP-MS for determination of ultratrace constituents in samples characterized by complex composition of the matrix
Lulea Univ Technol, Div Geosci, S-97187 Lulea, Sweden.;ALS Scandinavia AB, ALS Lab Grp, Aurorum 10, S-97775 Lulea, Sweden..
ALS Scandinavia AB, ALS Lab Grp, Aurorum 10, S-97775 Lulea, Sweden..
ALS Scandinavia AB, ALS Lab Grp, Aurorum 10, S-97775 Lulea, Sweden..
Lulea Univ Technol, Div Geosci, S-97187 Lulea, Sweden.;ALS Scandinavia AB, ALS Lab Grp, Aurorum 10, S-97775 Lulea, Sweden..
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2018 (English)In: Science of the Total Environment, ISSN 0048-9697, E-ISSN 1879-1026, Vol. 622-623, p. 203-213Article in journal (Refereed) Published
Abstract [en]

The performance of double focusing, sector fieldmass spectrometry (ICP-SFMS) for determination of analytes, including technology critical elements (TCE), at ultra-trace levels in environmental and clinical matrices was critically evaluated. Different configurations of the ICP-SFMS introduction system as well as various sample preparations, pre-concentration andmatrix separation methods were employed and compared. Factors affecting detection capabilities and accuracy of data produced (instrumental sensitivity, contamination risks, purity of reagents, spectral interferences, matrix effects, analyte recovery and losses) were discussed. Optimized matrixspecific methods were applied to a range of reference and control materials (riverine, brackish and seawaters; whole blood, serumand urine) as well as tap water and snow samples collected in the area of Lulea city, northern Sweden; brackish and seawater from the Laptev Sea; venous blood samples with a special emphasis on determination of Au, Ag, Ir, Os, Pd, Pt, Re, Rh, Ru, Sb and Te. Even though these low abundant elements are relatively under-documented, the results produced were compared with published data, where available.

Place, publisher, year, edition, pages
ELSEVIER SCIENCE BV , 2018. Vol. 622-623, p. 203-213
Keywords [en]
ICP-SFMS, TCE, PGE, Natural waters, Snow, Clinical samples
National Category
Environmental Sciences
Identifiers
URN: urn:nbn:se:uu:diva-350270DOI: 10.1016/j.scitotenv.2017.11.288ISI: 000426349000023PubMedID: 29216463OAI: oai:DiVA.org:uu-350270DiVA, id: diva2:1205751
Available from: 2018-05-15 Created: 2018-05-15 Last updated: 2018-05-15Bibliographically approved

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