Separation of Ni radioisotopes and determination of their activity in a radioactive waste sample using 3D printing

The determination of activities of long-lived activation products present in radioactive waste is essential for radiological safety assessments and waste management. Among these, Ni-59 and Ni-63 are of interest due to their radiotoxicity and persistence in decommissioning materials. In this work, radiochemical methods were applied to isolate Ni isotopes from radioactive waste samples. Custom 3D-printed components were introduced to improve filter fitting and standardize the source-to-detector geometry for Ni-59 determination by low-energy Si(Li) X-ray spectrometry. Ni-63 was determined by liquid scintillation counting (LSC). The nominal absolute detection efficiency values were 2.97.10 −4 for the original geometry and 3.19.10 −4 for the 3D-printed geometry, corresponding to an observed relative difference of 7.4%. This difference was not interpreted as evidence of a statistically significant improvement. Paired Ni-59 activity results obtained with the two geometries were compatible within their expanded uncertainties. Across five independently processed aliquots, the mean Ni-63/Ni-59 activity ratio obtained with the 3D-printed geometry was approximately 54:1, although substantial between-aliquot variability was observed. The results demonstrate the practical usefulness of 3D printing for geometry matching and support further validation using a larger set of samples.

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Publication Details

Journal
Journal of Radiation Research and Applied Sciences
Published
2026-10-31
DOI
https://doi.org/10.1016/j.jrras.2026.102789
Primary Topic
Radioactive Decay and Measurement Techniques
Type
article
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article

Separation of Ni radioisotopes and determination of their activity in a radioactive waste sample using 3D printing

Dominik Juračka, Ol’ga Rosskopfová, Michal Galamboš, Marek Hupian
1 links
Journal of Radiation Research and Applied Sciences
Radioactive Decay and Measurement Techniques
article

Separation of Ni radioisotopes and determination of their activity in a radioactive waste sample using 3D printing

Dominik Juračka, Ol’ga Rosskopfová, Michal Galamboš, Marek Hupian
article en

Abstract

The determination of activities of long-lived activation products present in radioactive waste is essential for radiological safety assessments and waste management. Among these, Ni-59 and Ni-63 are of interest due to their radiotoxicity and persistence in decommissioning materials. In this work, radiochemical methods were applied to isolate Ni isotopes from radioactive waste samples. Custom 3D-printed components were introduced to improve filter fitting and standardize the source-to-detector geometry for Ni-59 determination by low-energy Si(Li) X-ray spectrometry. Ni-63 was determined by liquid scintillation counting (LSC). The nominal absolute detection efficiency values were 2.97.10 −4 for the original geometry and 3.19.10 −4 for the 3D-printed geometry, corresponding to an observed relative difference of 7.4%. This difference was not interpreted as evidence of a statistically significant improvement. Paired Ni-59 activity results obtained with the two geometries were compatible within their expanded uncertainties. Across five independently processed aliquots, the mean Ni-63/Ni-59 activity ratio obtained with the 3D-printed geometry was approximately 54:1, although substantial between-aliquot variability was observed. The results demonstrate the practical usefulness of 3D printing for geometry matching and support further validation using a larger set of samples.

Journal of Radiation Research and Applied SciencesVol. 19(4)
Comenius University Bratislava (SK)
Univerzita Komenského v Bratislave, Agentúra na Podporu Výskumu a Vývoja
Openalex Percentile: Top 14%
Radioactive Decay and Measurement Techniques
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Separation of Ni radioisotopes and determination of their activity in a radioactive waste sample using 3D printing — Dominik Juračka, Ol’ga Rosskopfová, et al. · Journal of Radiation Research and Applied Sciences (2026) | TGRS Research Map | TGRS