4.7 Article

High-precision Cu and Zn isotope analysis by plasma source mass spectrometry - Part 2. Correcting for mass discrimination effects

Journal

JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY
Volume 19, Issue 2, Pages 218-226

Publisher

ROYAL SOC CHEMISTRY
DOI: 10.1039/b306953b

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Two approaches to correct for mass discrimination effects associated with Cu and Zn isotopic measurements on two different MC-ICP-MS instruments (a Micromass IsoProbe and a VG Axiom) have been compared and assessed in detail: (1) sample-standard bracketing (SSB), and (2) the 'empirical external normalisation' (EEN) whereby a second element is used to simultaneously correct for mass discrimination. This has provided new insights into the mass discrimination behaviours of Cu and Zn under varying instrumental set-ups, and has allowed improvements to be made to the existing correction procedures. With the SSB approach, mass bias stability is a prerequisite, and matrix components must be removed from the analyte to avoid matrix-related mass discrimination effects. By comparison, the EEN approach requires a degree of mass bias instability, and automatically corrects for matrix-related mass discrimination effects. The EEN correction may therefore appear more robust. However, while the EEN correction yields high-precision Cu-65/Cu-63 and Zn-66/Zn-64 data, an as yet unidentified source of systematic drift in the Zn-67 and Zn-68 signals through time hinders analyses of ratios incorporating these isotopes. Using the EEN correction where analyte and spike ratios were measured sequentially within a peak-switching protocol led to a three-fold deterioration in precision relative to static measurements. This is consistent with mass bias drift on the scale of a single five-second-measurement integration. For relative Cu-65/Cu-63 and Zn-66/Zn-64 ratio measurements, the SSB and EEN corrections give long-term reproducibilities of less then +/-0.07parts per thousand. (2SD) for pure Cu and Zn reagents. This is sufficient for resolving mass-dependent isotopic variability in natural and anthropogenic materials.

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