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Journal of Radioanalytical and Nuclear Chemistry

, Volume 322, Issue 3, pp 2025–2032 | Cite as

Trace impurities analysis in UF4 via standard addition and 103Rh internal standardization techniques combined with ICP-MS

  • Haixia Cong
  • Chunxia Liu
  • Ruifen Li
  • Yuxia Liu
  • Qiang Dou
  • Haiying Fu
  • Lan Zhang
  • Wei ZhouEmail author
  • Qingnuan Li
  • Wenxin Li
Article
  • 25 Downloads

Abstract

In order to determine trace impurities in the nuclear grade UF4, an analysis method based on the standard addition and 103Rh internal standardization techniques combined with ICP-MS has been established. The examination tests, including comparison with the quantity of trace impurities assigned in a certified reference uranium oxide and determination of the standard addition recovery, were performed to validate the accuracy and precision of the method. Total 42 trace impurity elements from Li to Bi were determined, with the method detection limit for the 42 impurities were found in the range of 0.0004–0.072 μg g−1. The recoveries were varied from 92% to 111%, and the relative deviations for most of the impurity elements were less than 10%. The method has been verified to meet the requirements of quality control for the UF4 and will be used in the molten salt reactor.

Keywords

Trace impurities UF4 Standard addition Internal standardization ICP-MS 

Notes

Acknowledgements

This work was supported by the “Strategic Priority Research Program” and “Frontier Science Key Program” of the Chinese Academy of Sciences (Grant Nos. XDA02030000 and QYZDYSSW-JSC016), National Natural Science Foundation of China (21601201), Youth Innovation Promotion Association CAS (2016241).

References

  1. 1.
    Uhlir J (2007) Chemistry and technology of molten salt reactors—history and perspectives. J Nucl Mater 360:6–11CrossRefGoogle Scholar
  2. 2.
    Souza ALS, Cotrim MEB, Pires MAF (2013) An overview of spectrometric techniques and sample preparation for the determination of impurities in uranium nuclear fuel grade. Microchem J 106:194–201CrossRefGoogle Scholar
  3. 3.
    Gopalkrishnan M, Radhakrishnan K, Dhami PS, Kulkarni VT, Joshi MV, Patwardhan AB, Ramanujam A, Mathur JN (1997) Determination of trace impurities in uranium, thorium and plutonium matrices by solvent extraction and inductively coupled plasma atomic emission spectrometry. Talanta 44:169–176CrossRefGoogle Scholar
  4. 4.
    Malhotra RK, Satyanarayana K (1999) Estimation of trace impurities in reactor-grade uranium using ICP-AES. Talanta 50:601–608CrossRefGoogle Scholar
  5. 5.
    Sengupta A, Ippili T, Jayabun S, Singh M, Thulasidas SK (2016) ICP-AES determination of trace metallic constituents in thorium matrix after preferential extraction of thorium using TBP, TOPO and DHOA: a comparative study. J Radioanal Nucl Chem 310:59–67CrossRefGoogle Scholar
  6. 6.
    Wylie EM, Manard BT, Quarles CD Jr, Meyers LA, Xu N (2018) An automated micro-separation system for the chromatographic removal of uranium matrix for trace element analysis by ICP-OES. Talanta 189:24–30CrossRefGoogle Scholar
  7. 7.
    Junior OPO, Sarkis JES (2002) Determination of impurities in uranium oxide by inductively coupled plasma mass spectrometry (ICPMS) by the matrix matching method. J Radioanal Nucl Chem 254:519–526CrossRefGoogle Scholar
  8. 8.
    Bürger S, Riciputi L, Bostick D (2007) Determination of impurities in uranium matrices by time-of-flight ICP-MS using matrix-matched method. J Radioanal Nucl Chem 274:491–505CrossRefGoogle Scholar
  9. 9.
    Günther-Leopold I, Kivel N, Waldis JK, Wernli B (2008) Characterization of nuclear fuels by ICP mass-spectrometric techniques. Anal Bioanal Chem 390:503–510CrossRefGoogle Scholar
  10. 10.
    Varga Z, Katona R, Stefánka Z, Wallenius M, Mayer K, Nicholl A (2010) Determination of rare-earth elements in uranium-bearing materials by inductively coupled plasma mass spectrometry. Talanta 80:1744–1749CrossRefGoogle Scholar
  11. 11.
    Rogers KT, Giaquinto J, Essex RM, Metzger SC, Ticknor BW, Hexel CR (2018) Trace impurity analysis in uranium oxide via hybrid quantification techniques—gravimetric standard addition and isotope dilution mass spectrometry. J Radioanal Nucl Chem 318:685–694CrossRefGoogle Scholar
  12. 12.
    Podobnik B, Špenko M (1966) Direct spectrographic determination of impurities in uranium tetrafluoride. Anal Chim Acta 34:294–301CrossRefGoogle Scholar
  13. 13.
    Dale LS (1974) A direct carrier distillation procedure for the spectrographic determination of impurities in uranium tetrafluoride. Appl Spectrosc 28:564–568CrossRefGoogle Scholar
  14. 14.
    Jiang MH, Xu HJ, Dai ZM (2012) Future advanced nuclear fission energy-TMSR nuclear energy system. Bull Chin Acad Sci 27:366–374Google Scholar
  15. 15.
    Quarles CD, Jones DR, Jarrett JM, Shakirova G, Pan Y, Caldwell KL, Jones RL (2014) Analytical method for total chromium and nickel in urine using an inductively coupled plasma-universal cell technology-mass spectrometer (ICP-UCT-MS) in kinetic energy discrimination (KED) mode. J Anal At Spectrom 29:297–303CrossRefGoogle Scholar
  16. 16.
    Kelly WR, MacDonald BS, Guthrie WF (2008) Gravimetric approach to the standard addition method in instrumental analysis. 1. Anal Chem 80:6154–6158CrossRefGoogle Scholar
  17. 17.
    National Management Committee of Reference Materials (2016) Catalogue of Certified reference materials of the People’s Republic of China. China Quality Inspection Press, BeijingGoogle Scholar
  18. 18.
    ISO International (2015) Statistical methods for use in proficiency testing by interlaboratory comparison. ISO 13528-2015Google Scholar
  19. 19.
    HJ Ministry of environmental protection of PRC (2010) Environmental monitoring—technical guideline on drawing and revising analytical method standards. HJ 168-2010Google Scholar

Copyright information

© Akadémiai Kiadó, Budapest, Hungary 2019

Authors and Affiliations

  1. 1.Shanghai Institute of Applied PhysicsChinese Academy of SciencesShanghaiChina
  2. 2.Center of Excellence TMSR Energy SystemChinese Academy of SciencesShanghaiChina
  3. 3.University of Chinese Academy of SciencesBeijingChina

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