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Published February 5, 2020 | public
Journal Article

Protocols for in situ measurement of oxygen isotopes in goethite by ion microprobe

Abstract

We present protocols for high-spatial resolution measurement of oxygen isotope ratios of goethite (α-FeOOH) with the Sensitive High Mass Resolution Ion Microprobe – Stable Isotopes (SHRIMP-SI) and propose a natural sample as a potential goethite reference material (RM) for ion microprobe analysis. We assess the effects of goethite chemical composition, crystallographic orientation, and texture on the accuracy and repeatability of SHRIMP-SI δ¹⁸O (δ¹⁸O_(SIMS)) results. Synthetic goethites evaluated as potential δ¹⁸O_(SIMS) RM are powdery, porous, and finely crystalline; they do not yield repeatable results. A dense colloform goethite from the Capão topaz mine, Minas Gerais, Brazil, fulfills major prerequisites: it is stoichiometrically relatively pure, yields repeatable oxygen isotope results, and occurs in abundance to produce a RM for long-term use. We use an average laser fluorination δ¹⁸O_(LF-VSMOW) value of −17.3 ± 0.3‰ (1SD) obtained for five aliquots of this RM to normalize all δ¹⁸O_(SIMS) measurements. Multiple δ¹⁸O_(SIMS) analyses of a large fragment of the Capão L4 (CL4) RM analyzed in three different runs yield an overall repeatability of −17.3 ± 0.5‰ (2SD, n = 294) for all three runs combined. Natural variability and crystal orientation effects are the main reasons for the excess spread of the δ¹⁸O_(SIMS) results compared to the spot internal precision (ca. 0.2‰). All δ¹⁸O_(SIMS) analyses (n = 1027) in various aliquots of CL4, randomly oriented and analyzed in 26 sessions during eight distinct runs, yield an overall repeatability of ±0.7‰ (2SD), confirming that CL4 is a suitable SIMS RM. After ascertaining its suitability as a RM, we used CL4 to standardize analyses of other natural goethite samples with the SHRIMP-SI and compared δ¹⁸O_(SIMS) and laser fluorination results to test the relationship between natural properties (e.g., porosity, minor elements substituting for Fe), preparation procedures (e.g., polish and relief), instrument conditions, and the overall precision and accuracy of the SIMS analyses. Samples containing minor elements substituting for Fe (e.g., Al, Mn, Cu, Zn, etc.) or as contaminants (e.g., Si, P) require significant matrix corrections. Because we could not find homogenous natural goethite samples showing a large range in metal concentrations, we extrapolate our calibration curves beyond the composition of our calibration goethite samples. δ¹⁸O_(SIMS) results corrected for instrument mass fractionation (using CL4) and compositionally dependent matrix effects (using several calibration goethites of known elemental composition) are less precise but statistically indistinguishable from their laser fluorination results. However, porous samples are unsuitable for SHRIMP-SI δ¹⁸O analysis. Dense colloform samples yield repeatable results for individual growth bands, showing that the high spatial resolution, moderate precision, and speed of analysis of the SHRIMP-SI can resolve variations in oxygen isotope composition acquired during sample growth. (U Th)/He geochronology of equivalent aliquots from the same goethite samples reveal that the combination of the two methods permits the extraction of temporal variation in the isotopic compositions of meteoric solutions in the geological past.

Additional Information

© 2019 Published by Elsevier B.V. Received 16 December 2018, Revised 27 November 2019, Accepted 28 November 2019, Available online 6 December 2019. We thank present and past colleagues from Vale, particularly Carlos Monte Lopes, Luzimar Rego, Clovis Maurity, Paulo Sérgio Ribeiro, Fernando Greco, Fernando Martins, Henrile Meireles, Carlos Augusto de Medeiros Filho, Augusto Kishida, and Felipe Porto for field support in the Carajás region. We thank Carlos Spier, then at MBR, for field support in the Quadrilátero Ferrífero. We thank UQ-CMM staff for help during microanalysis. We thank Mr. Llyam White for carrying additional laser fluorination analyses. This project was funded by the Australian Research Council (ARC Discovery DP160104988) grant to Paulo Vasconcelos and Kenneth Farley, Australian Research Council (ARC LP1401008005) grant to Gordon Southam et al., Australian Research Council (ARC LE0560868) grant to Trevor Ireland, and the Brazilian Research Council (CNPq) Science Without Borders scholarship to Hevelyn Monteiro. The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Additional details

Created:
August 22, 2023
Modified:
October 18, 2023