Radioanalysis of ultra-low level radionuclides for environmental tracer studies and decommissioning of nuclear facilities
| Autor: | Xiaolin Hou |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Radionuclide
Radioanalytical methods for low-level radionuclides Mass spectrometry Waste management Health Toxicology and Mutagenesis Public Health Environmental and Occupational Health 010403 inorganic & nuclear chemistry 01 natural sciences Pollution Nuclear decommissioning Radiometric measurement 0104 chemical sciences Analytical Chemistry Nuclear facilities Nuclear Energy and Engineering Environmental process tracing TRACER Environmental science Environmental radioactivity Radiology Nuclear Medicine and imaging Radiochemical analysis Speciation analysis Spectroscopy Mass spectrometry measurement Decommissioning |
| Zdroj: | Hou, X 2019, ' Radioanalysis of ultra-low level radionuclides for environmental tracer studies and decommissioning of nuclear facilities ', Journal of Radioanalytical and Nuclear Chemistry, vol. 322, no. 3, pp. 1217–1245 . https://doi.org/10.1007/s10967-019-06908-9 |
| ISSN: | 1588-2780 0236-5731 |
| DOI: | 10.1007/s10967-019-06908-9 |
| Popis: | Determination of long-lived radionuclides is critical for environmental radioactivity investigation, environmental processes studies and decommissioning of nuclear facilities. This paper summarizes main progress in the radiochemical analysis in our laboratories in the past years for determination of ultra-low level radionuclides in the environment using chemical separation combined with mass spectrometry measurement. The analytical methods for determination of ultra-low level 129I and its chemical species in various environmental samples are highlighted. The methods developed in our laboratories for characterization of decommissioning waste, especially the methods for the determination of difficult-to-measure radionuclides using sequentially chemical separation and radiometric measurement are also briefly presented. This is also a part of the Hevesy Medal award lecture in the RANC2019 conference. |
| Databáze: | OpenAIRE |
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