Title | Polynomial mass bias functions for the internal standardization of isotope ratio measurements by multi-collector inductively coupled plasma mass spectrometry |
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Author | Doherty, W; Grégoire, D C; Bertrand, N |
Source | Spectrochimica Acta, Part B: Atomic Spectroscopy vol. 63, issue 3, 2008 p. 407-414, https://doi.org/10.1016/j.sab.2007.12.002 |
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Year | 2008 |
Alt Series | Earth Sciences Sector, Contribution Series 20070599 |
Publisher | Elsevier BV |
Document | serial |
Lang. | English |
Media | paper; on-line; digital |
File format | html; pdf |
Subjects | geochemistry; isotopes; isotope ratios; analytical methods; mass spectrometer analysis; chemical analysis; lead isotope ratios; samarium; nickel |
Illustrations | tables |
Released | 2008 03 01 |
Abstract | The development and application of a calibration strategy for routine isotope ratio analysis by multi-collector inductively coupled plasma mass spectrometry (ICP-MS) is described and assessed. Internal
standardization was used to account for the mass dependant determinate error (mass bias). The general solution for polynomial isotope ratio mass bias functions for use with internal standardization and isotope ratio measurements by multi-collector
inductively coupled plasma mass spectrometry was derived. The resulting linear isotope ratio mass bias function was demonstrated to be mathematically consistent and experimentally realistic for the analysis of acidified aqueous solutions of analyte
and internal standard elements (clean solutions) by multi-collector inductively coupled plasma mass spectrometry. The calibration strategy was applied to the measurement of Pb, Sm and Ni isotope ratios in clean solutions using Tl, Eu and Cu as
internal standards, respectively. Results of the analysis of the standard reference material NBS 982 for 208Pb/206Pb, 207Pb/206Pb and 204Pb/206Pb isotope ratios were 1.000290 ± 0.000025, 0.466994 ± 0.000008 and 0.027218 ± 0.000003 (± 1 standard
deviation, n = 48) with errors of (+ 0.0130 ± 0.0025)%, (- 0.0271 ± 0.0017)% and (- 0.005 ± 0.009)%, respectively. |
GEOSCAN ID | 224894 |
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