Automated Separation and Preconcentration of Ultra-Trace Levels of Radionuclides in Complex Matrices by Online Ion Exchange Chromatography Coupled with Inductively Coupled Plasma Mass Spectrometry (ICP-MS)

Abstract

Radionuclides occur in the environment both naturally and artificially. Along with weapons testing and nuclear reactor operations, activities such as mining, fuel fabrication and fuel reprocessing are also major contributors to nuclear waste in the environment. In terms of nuclear safety, the concentration of radionuclides in nuclear waste must be monitored and reported before storage and/or discharge. Similarly, radionuclide waste from mining activities also contains radionuclides that need to be monitored. In addition, a knowledge of ongoing radionuclide concentrations is often required under certain 'special' conditions, for example in the area surrounding nuclear and mining operations, or when nuclear and other accidents occur. Thus, there is a huge demand for new methods that are suitable for continuously monitoring and rapidly analyzing radionuclide levels, especially in emergency situations. In this study, new automated analytical methods were successfully developed to measure ultra trace levels of single or multiple radionuclides in various environmental samples with the goal of faster analysis times and less analyst involvement while achieving detection limits suitable for typical environmental concentrations.

Author Keywords: automation, ICP-MS, ion exchange, radionuclide

    Item Description
    Type
    Contributors
    Creator (cre): Wang, Wei
    Thesis advisor (ths): Evans, R. Douglas
    Degree committee member (dgc): Newman, Karla
    Degree committee member (dgc): Larivière, Dominic
    Degree granting institution (dgg): Trent University
    Date Issued
    2020
    Date (Unspecified)
    2020
    Place Published
    Peterborough, ON
    Language
    Extent
    244 pages
    Rights
    Copyright is held by the author, with all rights reserved, unless otherwise noted.
    Subject (Topical)
    Local Identifier
    TC-OPET-10813
    Publisher
    Trent University
    Degree
    Doctor of Philosophy (Ph.D.): Environmental and Life Sciences