| DOI | Resolve DOI: https://doi.org/10.1007/s10967-019-06991-y |
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| Author | Search for: Jovanovic, Slobodan V.ORCID identifier: https://orcid.org/0000-0001-5589-7415; Search for: Kell, Tara; Search for: El-Haddad, Josette1; Search for: Cochrane, Chris; Search for: Drummond, Christopher2; Search for: El-Jaby, Ali |
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| Affiliation | - National Research Council of Canada
- National Research Council of Canada. Digital Technologies
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| Format | Text, Article |
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| Subject | trace element analysis of uranium ore concentrates; laser ablation inductively coupled plasma mass spectrometry; nuclear forensics |
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| Abstract | We present a laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) method for trace-element analysis of uranium ore concentrates (UOCs). The method was used to characterize a select number of UOC samples representing 20 different producers from 8 distinct geographic locations. These results were then used to assess the origin of the samples using a machine-learning algorithm. The LA-ICP-MS characterization performed equally well as that obtained by the conventional aqueous method, suggesting that this rapid, low waste technique is suitable for National Nuclear Forensic Library applications. |
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| Publication date | 2019-12-23 |
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| Publisher | Springer Nature Switzerland AG |
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| In | |
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| Language | English |
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| Peer reviewed | Yes |
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| Identifier | 6991 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 68d27885-cf0a-411a-90f6-9e45b9313a28 |
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| Record created | 2020-07-08 |
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| Record modified | 2021-09-17 |
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