Detecting radioactive particles in complex environmental samples using real-time autoradiography.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
05 Mar 2024
05 Mar 2024
Historique:
received:
03
11
2023
accepted:
24
01
2024
medline:
6
3
2024
pubmed:
6
3
2024
entrez:
5
3
2024
Statut:
epublish
Résumé
Radioactive particles often contain very high radioactivity concentrations and are widespread. They pose a potential risk to human health and the environment. Their detection, quantification, and characterization are crucial if we are to understand their impact. Here, we present the use of a real-time autoradiography gaseous detector (using parallel ionization multiplier) to expedite and improve the accuracy of radioactive particle screening in complex environmental samples. First, standard particles were used to assess the detector capabilities (spatial resolution, spectrometry, and artefact contributions), then, we applied the technique to more complex and environmentally relevant samples. The real-time autoradiography technique provides data with a spatial resolution (≲100 µm) suitable for particle analysis in complex samples. Further, it can differentiate between particles predominantly emitting alpha and beta radiation. Here, the technique is applied to radioactive cesium-rich microparticles collected from the Fukushima Daiichi nuclear exclusion zone, showing their accurate detection, and demonstrating the viability of real-time autoradiography in environmental scenarios. Indeed, for more complex samples (radioactive particles in a less radioactive heterogeneous background mix of minerals), the technique permits relatively high selectivity for radioactive particle screening (up to 61.2% success rate) with low false positive percentages (~ 1%).
Identifiants
pubmed: 38443397
doi: 10.1038/s41598-024-52876-w
pii: 10.1038/s41598-024-52876-w
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
5413Subventions
Organisme : Jenny ja Antti Wihurin Rahasto
ID : 00220019
Organisme : Academy of Finland
ID : 337560
Organisme : Academy of Finland
ID : JPJSBP 120232702
Organisme : Academy of Finland
ID : JPJSBP 120232702
Organisme : Japan Society for the Promotion of Science
ID : JPJSBP 120232702
Organisme : Japan Society for the Promotion of Science
ID : JPJSBP 120232702
Informations de copyright
© 2024. The Author(s).
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