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A comparison of the capacity of FA-ICP-MS and FA-INAA

Bédard L. Paul et Barnes Sarah-Jane. (2002). A comparison of the capacity of FA-ICP-MS and FA-INAA. Journal of radioanalytical and nuclear chemistry, 254, (2), p. 319-329.

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The platinum-group elements (PGEs) are commonly determined by INAA and ICP-MS after a NiS fire assay preconcentration. The results of the initial “round robin” for the PGEs and gold were examined for geological Canadian reference materials (WGB-1, TDB-1, UMT-1, WPR-1, WMG- 1, and WMS-1). The Au accuracy is generally within 15% for both methods. For Ir, Os, Pd, Pt and Rh the accuracy for most samples is better than 10% for FA-ICP-MS and FA-INAA (true only for sulfide-bearing samples in the case of FA-INAA). Ru is not very accurate by either methods. Ru and Au have problems with precision which is interpreted to be related to the loss of gold in the dissolution step and for Ru, the source of the problem is not yet understood. Kurtosis show that FA-INAA has higher clustering than FA-ICP-MS for most analytes. It suggests a slightly better precision for FA-INAA. This is explained by the robustness of INAA after the NiS preconcentration despite its lower instrumental precision versus the complex dissolution steps involved in ICP-MS. For samples richer in PGEs (sulfide- and/or oxide-bearing rocks) both methods perform adequately but for low PGEs concentration samples (crustal rocks) ICP-MS shows an advantage.

Type de document:Article publié dans une revue avec comité d'évaluation
Pages:p. 319-329
Version évaluée par les pairs:Oui
Sujets:Sciences naturelles et génie > Sciences naturelles > Sciences de la terre (géologie, géographie)
Département, module, service et unité de recherche:Départements et modules > Département des sciences appliquées > Unité d'enseignement en sciences de la Terre
Mots-clés:accuracy, chemical composition, concentration, detection limit, dissolved materials, experimental studies, gold, ICP mass spectra, kurtosis, laboratory studies, mass spectra, metals, platinum group, sample preparation, spectra, statistical analysis
Déposé le:10 juin 2016 14:15
Dernière modification:09 déc. 2016 14:51
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