Open AccessThe importance of a Ni correction with ion counter in the double spike analysis of Fe isotope compositions using a 57 Fe/ 58 Fe double spike
Author(s) -
Finlayson V. A.,
Konter J. G.,
Ma L.
Publication year - 2015
Publication title -
geochemistry, geophysics, geosystems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.928
H-Index - 136
ISSN - 1525-2027
DOI - 10.1002/2015gc006012
Subject(s) - faraday cup , faraday cage , analytical chemistry (journal) , isotope , ion , noise (video) , interference (communication) , signal to noise ratio (imaging) , signal (programming language) , reproducibility , physics , ion beam , detector , inductively coupled plasma mass spectrometry , chemistry , beam (structure) , computational physics , optics , materials science , mass spectrometry , nuclear physics , magnetic field , telecommunications , computer science , channel (broadcasting) , chromatography , quantum mechanics , artificial intelligence , image (mathematics) , programming language
Abstract We present a new method capable of measuring iron isotope ratios of igneous materials to high precision by multicollector inductively coupled plasma mass spectrometry (MC‐ICP‐MS) using a 57 Fe‐ 58 Fe double spike. After sample purification, near‐baseline signal levels of nickel are still present in the sample solution, acting as an isobaric interference on 58 amu. To correct for the interference, the minor 60 Ni isotope is monitored and used to subtract a proportional 58 Ni signal from the total 58 amu beam. The 60 Ni signal is difficult to precisely measure on the Faraday detector due to Johnson noise occurring at similar magnitude. This noise‐dominated signal is subtracted from the total 58 amu beam, and its error amplified during the double spike correction. Placing the 60 Ni beam on an ion counter produces a more precise measurement, resulting in a near‐threefold improvement in δ 56 Fe reproducibility, from ±0.145‰ when measured on Faraday to 0.052‰. Faraday detectors quantify the 60 Ni signal poorly, and fail to discern the transient 20 Ne 40 Ar interference visible on the ion counter, which is likely responsible for poor reproducibility. Another consideration is instrumental stability (defined herein as drift in peak center mass), which affects high‐resolution analyses. Analyses experiencing large drift relative to bracketing standards often yield nonreplicating data. Based on this, we present a quantitative outlier detection method capable of detecting drift‐affected data. After outlier rejection, long‐term precision on individual runs of our secondary standard improves to ±0.046‰. Averaging 3–4 analyses further improves precision to 0.019‰, allowing distinction between ultramafic minerals.