An overview of automated flow systems for total and isotopic analysis of strontium and yttrium in samples of environmental interest
Talanta, ISSN: 0039-9140, Vol: 270, Page: 125643
2024
- 9Captures
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Metrics Details
- Captures9
- Readers9
Article Description
Due to the different uses of radioactivity during the last decades, there has been an increase in the concentration of natural and artificial radionuclides in the environment. This, along with some accidents with a high affect public opinion (for example, Chernobyl and Fukushima), have led to the growth and establishment of environmental radioactivity monitoring programs. Currently, trends in legislation and research are focused on the development of accurate, precise, reliable and fast analytical methods with low limits of detection (LOD) for radionuclides determination, such as strontium and yttrium, in environmental samples. In this paper, two comprehensive reviews and four automated analytical systems for total and isotopic determination of yttrium and strontium are presented. The developed methods have been applied in the analysis of environmental samples with low concentrations of these analytes. These methodologies have been automated by exploiting flow analysis techniques, such as multi-syringe flow injection analysis (MSFIA), Sequential injection analysis (SIA) and laboratory-on-valve (LOV) systems, achieving a minimal handling and low consumption of samples and reagents, a significant reduction in waste generation and a high frequency of analysis. In the developed methodologies, some spectrometric methods such as ICP-OES and ICP-MS have been implemented as detection techniques instead of radiometric detectors obtaining a fully automated, low-cost and fast yttrium and strontium determinations.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0039914024000225; http://dx.doi.org/10.1016/j.talanta.2024.125643; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85182026138&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/38199120; https://linkinghub.elsevier.com/retrieve/pii/S0039914024000225; https://dx.doi.org/10.1016/j.talanta.2024.125643
Elsevier BV
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