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Precise determination of the isotopic composition of Sn using MC-ICP-MS

Authors: Robin Clayton; Per Andersson; Noel H. Gale; Carole Gillis; Martin J. Whitehouse;

Precise determination of the isotopic composition of Sn using MC-ICP-MS

Abstract

High precision isotopic measurements of Sn in two commercially available high purity materials and a previously analysed cassiterite from Straits Settlement, Malaysia, are presented as a basis for a new measurement procedure using the Micromass IsoProbe MC-ICP-MS. The results show that under optimised instrumental conditions two laboratory calibration standard solutions (Johnson–Matthey Puratronic Grade 1 Sn metal foil and Specpure ICP/DCP Sn solution) are isotopically identical and an external reproducibility of 0.000017 2 s.d. at 150 ppb Sn concentration (122Sn/116Sn 0.318597, n = 14) can be achieved. An isotopic fractionation of +0.13‰/u (1.3 epsilon units) relative to these in-house standards has been verified for the cassiterite, which indicates a natural isotopic fractionation of approximately 2.8 times greater than the long-term reproducibility of the current optimised measurement procedure.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
60
Top 10%
Top 10%
Average
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