Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/130086
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Type: Journal article
Title: Quantification of radionuclide distribution and migration during Cu-(Fe)-sulphide mineral processing by alpha particle autoradiography
Author: Kalnins, C.A.G.
Ottaway, D.
Cook, N.J.
Spooner, N.A.
Citation: Journal of Environmental Radioactivity, 2021; 228:1-6
Publisher: Elsevier
Issue Date: 2021
ISSN: 0265-931X
1879-1700
Statement of
Responsibility: 
Christopher A.G. Kalnins, David Ottaway, Nigel J. Cook, Nigel A. Spooner
Abstract: Understanding the movement of radionuclides (RNs) between different mineral hosts during processing of base metal ores is critical for accurate modelling of RN deportment and optimisation of processes designed to reduce or eliminate RNs. Here, we demonstrate that spatially resolving quantitative alpha particle autoradiography combined with backscatter electron imaging and energy dispersive X-ray spectroscopy (EDS) can establish the correlation between alpha-emitting RNs (notably ²²⁶Ra and ²¹⁰Po, daughters of the abundant ²³⁸U decay series) and certain minerals, in different stages of processing. This is achieved by locating the RNs to a specific mineral grain, the species of which can subsequently be identified using EDS. The mineralogy of RN-associated grains can then be compared with the mineral suite and relative abundances of the species within the sample, by relating how often each mineral is associated with alpha decay-events. In the processing of uranium-bearing copper ores, migration of alpha-emitting RN daughters of the ²³⁸U series were observed, and these RNs were demonstrated to correlate strongly with barite, bornite and covellite over other coexisting minerals.
Keywords: Radionuclides; alpha-particle autoradiography; high- resolution mapping; mineral processing; covellite; barite; bornite; copper sulphides
Rights: © 2020 Elsevier Ltd. All rights reserved.
DOI: 10.1016/j.jenvrad.2020.106514
Grant ID: http://purl.org/au-research/grants/arc/IH130200033
Published version: http://dx.doi.org/10.1016/j.jenvrad.2020.106514
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