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Título: Ion Exchange Chromatography and Mass Bias Correction for Accurate and Precise Zn Isotope Ratio Measurements in Environmental Reference Materials by MC-ICP-MS
Autor(es): Araújo, Daniel F.
Boaventura, Geraldo R.
Viers, Jerôme
Mulholland, Daniel S.
Weiss, Dominik
Araújo, Débora
Lima, Bárbara
Ruiz, Izabel
Machado, Wilson
Babinski, Marly
Dantas, Elton
Assunto: Geoquímica
Zinco - isótopos
Espectrometria de massa
Isótopos
Data de publicação: 2017
Editora: Sociedade Brasileira de Química
Referência: ARAUJO, Daniel F. et al. Ion Exchange Chromatography and Mass Bias Correction for Accurate and Precise Zn Isotope Ratio Measurements in Environmental Reference Materials by MC-ICP-MS. Journal of the Brazilian Chemical Society, São Paulo, v. 28, n. 2, p. 225-235, fev. 2017. Disponível em: <http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-50532017000200225&lng=en&nrm=iso>. Acesso em: 03 out. 2018. http://dx.doi.org/10.5935/0103-5053.20160167.
Resumo: Precise and accurate d66/64Zn data for environmental reference materials (RMs) including rocks, sediments, soils and plants are presented in order to improve the metrological traceability and analytical control of Zn isotope ratio determinations in future environmental studies. Previously developed ion exchange chromatography protocols were adjusted to enable faster sample throughput and instrumental mass bias processes were investigated. The improved chromatographic protocol yielded precise and quantitative recoveries (99 ± 7%, σ, n = 16), while the mass bias correction using Cu as external dopant provided precisions better than 0.02‰, 2σ, n = 7. Investigations into spectral and non-spectral interferences identified significant formation of Cr and Ti oxides and hydroxide ionic species. Analysis of six RMs (BHVO-2 basalt (USGS), BCR-2 basalt (USGS), AGV-2 andesite (USGS), 2709 San Joaquin soil (NIST), 1646a estuarine sediment (NIST) and 1573a tomato leaves (NIST)) showed good reproducibility (< 0.01‰, 2s, 5 ≤ n ≥ 1).
Licença: Journal of the Brazilian Chemical Society - This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
DOI: http://dx.doi.org/10.5935/0103-5053.20160167
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