Uranium Detection - Technique Validation Report [electronic resource].
- Published:
- Washington, D.C. : United States. National Nuclear Security Administration, 2016.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy - Physical Description:
- 85 pages : digital, PDF file
- Additional Creators:
- Los Alamos National Laboratory, United States. National Nuclear Security Administration, and United States. Department of Energy. Office of Scientific and Technical Information
Access Online
- Restrictions on Access:
- Free-to-read Unrestricted online access
- Summary:
- As a LANL activity for DOE/NNSA in support of SHINE Medical TechnologiesTM ‘Accelerator Technology’ we have been investigating the application of UV-vis spectroscopy for uranium analysis in solution. While the technique has been developed specifically for sulfate solutions, the proposed SHINE target solutions, it can be adapted to a range of different solution matrixes. The FY15 work scope incorporated technical development that would improve accuracy, specificity, linearity & range, precision & ruggedness, and comparative analysis. Significant progress was achieved throughout FY 15 addressing these technical challenges, as is summarized in this report. In addition, comparative analysis of unknown samples using the Davies-Gray titration technique highlighted the importance of controlling temperature during analysis (impacting both technique accuracy and linearity/range). To fully understand the impact of temperature, additional experimentation and data analyses were performed during FY16. The results from this FY15/FY16 work were presented in a detailed presentation, LA-UR-16-21310, and an update of this presentation is included with this short report summarizing the key findings. The technique is based on analysis of the most intense U(VI) absorbance band in the visible region of the uranium spectra in 1 M H2SO4, at λmax = 419.5 nm.
- Report Numbers:
- E 1.99:la-ur--16-22546
la-ur--16-22546 - Subject(s):
- Note:
- Published through SciTech Connect.
04/14/2016.
"la-ur--16-22546"
Lisa Michelle Colletti; Katherine Garduno; Elmer J. Lujan; Alexandra Marie Mechler-Hickson; Iain May; Sean Douglas Reilly. - Funding Information:
- AC52-06NA25396
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