1. Evaluation strategies and uncertainty calculation of isotope amount ratios measured by MC ICP-MS on the example of Sr
- Author
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Johanna Irrgeher, Thomas Prohaska, and Monika Horsky
- Subjects
Normalization (statistics) ,Propagation of uncertainty ,Isotope amount ratio ,Isotope ,Chemistry ,010401 analytical chemistry ,Monte Carlo method ,Analytical chemistry ,Review ,Strontium isotopes ,010502 geochemistry & geophysics ,01 natural sciences ,Biochemistry ,0104 chemical sciences ,Analytical Chemistry ,Instrumental isotopic fractionation ,Statistics ,ddc:551 ,Calibration ,Measurement uncertainty ,Uncertainty of measurement ,MC ICP-MS ,Inductively coupled plasma mass spectrometry ,0105 earth and related environmental sciences ,Data reduction - Abstract
This paper critically reviews the state-of-the-art of isotope amount ratio measurements by solution-based multi-collector inductively coupled plasma mass spectrometry (MC ICP-MS) and presents guidelines for corresponding data reduction strategies and uncertainty assessments based on the example of n(87Sr)/n(86Sr) isotope ratios. This ratio shows variation attributable to natural radiogenic processes and mass-dependent fractionation. The applied calibration strategies can display these differences. In addition, a proper statement of uncertainty of measurement, including all relevant influence quantities, is a metrological prerequisite. A detailed instructive procedure for the calculation of combined uncertainties is presented for Sr isotope amount ratios using three different strategies of correction for instrumental isotopic fractionation (IIF): traditional internal correction, standard-sample bracketing, and a combination of both, using Zr as internal standard. Uncertainties are quantified by means of a Kragten spreadsheet approach, including the consideration of correlations between individual input parameters to the model equation. The resulting uncertainties are compared with uncertainties obtained from the partial derivatives approach and Monte Carlo propagation of distributions. We obtain relative expanded uncertainties (Urel; k = 2) of n(87Sr)/n(86Sr) of
- Published
- 2016
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