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Separation of Uranium and Thorium for 230Th-U Dating of Submarine Hydrothermal Sulfides
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Published on: May 20, 2019

Smart thorium and uranium determination exploiting renewable solid-phase extraction applied to environmental samples

Jessica Avivar1, Laura Ferrer, Montserrat Casas

  • 1Chemistry Department, University of the Balearic Islands, Palma, Spain.

Analytical and Bioanalytical Chemistry
|May 17, 2011
PubMed
Summary

A smart automated system accurately measures thorium and uranium in environmental samples. This method offers high sensitivity and selectivity for water and sediment analysis.

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Area of Science:

  • Analytical Chemistry
  • Environmental Science
  • Spectrophotometry

Background:

  • Accurate determination of thorium and uranium is crucial for environmental monitoring.
  • Existing methods may lack the sensitivity, selectivity, or automation required for diverse environmental matrices.

Purpose of the Study:

  • To develop a smart, fully automated system for the determination of thorium and uranium.
  • To achieve high sensitivity and selectivity in analyzing various environmental sample matrices.

Main Methods:

  • Hyphenation of lab-on-valve (LOV) and multisyringe flow injection analysis (MSFIA).
  • Coupling with a long path length liquid waveguide capillary cell for spectrophotometric detection.
  • Online separation and preconcentration using Uranium and TEtraValents Actinides resin.
  • In-line column regeneration for full automation.

Main Results:

  • The system successfully determined thorium and uranium in a wide concentration range (0-1,200 μg L⁻¹ Th and 0-2,000 μg L⁻¹ U).
  • Achieved low limits of detection: 5.9 ng L⁻¹ for uranium and 60 ng L⁻¹ for thorium.
  • Validated the method in diverse water matrices (seawater, well water, freshwater, tap water, mineral water) and sediment.

Conclusions:

  • The proposed LOV-MSFIA system provides a rapid, inexpensive, and fully automated solution for thorium and uranium determination.
  • The smart methodology represents a significant advancement in automated analytical techniques for environmental analysis.
  • The method demonstrates high selectivity and sensitivity, suitable for trace-level environmental monitoring.