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Reference Materials in Measurement and Technology

RMMT 2018: Reference Materials in Measurement and Technology pp 175–185Cite as

A Method for Estimating the Certified Value Uncertainty of a Multicomponent Reference Material

Abstract

This paper presents the results of a series of studies aimed at investigating the reference material (RM) of a multicomponent solution. An algorithm for estimating the uncertainty induced by the chemical element content in the RM is proposed taking into account the mass of the measurand in each component of the mixture. The results calculated according to the preparation procedure using the proposed algorithm were confirmed by the Monte Carlo method, while the elemental content in the mixture was confirmed via inductively coupled plasma optical emission spectroscopy. The applicability of weighted mean estimates for characterizing an RM of a multicomponent solution is shown.

Keywords

  • Multicomponent reference material
  • Uncertainty
  • Pure substances
  • Traceability

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Fig. 1
Fig. 2

Abbreviations

RM:

Reference material

GUM:

Guide to the expression of uncertainty in measurement

ICP-MS:

Inductively coupled plasma mass spectrometry

CGHE:

Carrier gas hot extraction

MMC:

Monte Carlo method

ICP OES:

Inductively coupled plasma optical emission spectrometry

References

  1. Database “Reference standards in the form of high-purity substances”. Ural Research Institute for Metrology, Ekaterinburg. https://www.uniim.ru/db_etalons_ref

  2. Medvedevskih SV, Sobina EP, Migal PV, Goryaeva LI, Gorbunova EM, Tabatchikova TN, Sobina AV, Firsanov VA, Medvedevskikh MYu, Krasheninina MP (2014) On the use of pure inorganic substances in metrology of analytical measurements. Ref Mater 3:58–67 (in Russ)

    Google Scholar 

  3. Matschat R, Czerwensky M, Pattberg S, Heinrich HJ, Tutschku S (2002) High purity metals as primary calibration materials for elemental analysis—their importance and their certification. Mater Trans 43(2):90–97. https://doi.org/10.2320/matertrans.43.90

    CrossRef  CAS  Google Scholar 

  4. Kipphardt H, Matschat R, Vogl J, Gusarova T, Czerwensky M, Heinrich HJ, Hioki A, Konopelko LA, Methven B, Miura T et al (2010) Purity determination as needed for the realization of primary standards for elemental determination—status of international comparability. Accred Qual Assur 15(1):29–37. https://doi.org/10.1007/s00769-009-0557-0

    CrossRef  CAS  Google Scholar 

  5. Vogl J et al (2018) Establishing comparability and compatibility in the purity assessment of high purity zinc as demonstrated by the CCQM-P149 intercomparison. Metrologia 211–221. https://doi.org/10.1088/1681-7575/aaa677

    CrossRef  CAS  Google Scholar 

  6. Salit ML, Turk GC, Lindstrom AP, Butler TA, Beck CM II, Norman B (2001) Single-element solution comparisons with a high-performance inductively coupled plasma optical emission spectrometric method. Anal Chem 73:4821–4829. https://doi.org/10.1021/ac0155097

    CrossRef  CAS  Google Scholar 

  7. ISO Guide 35:2017 Reference materials—guidance for characterization and assessment of homogeneity and stability

    Google Scholar 

  8. JCGM 100:2008 Evaluation of measurement data—guide to the expression of uncertainty in measurement

    Google Scholar 

  9. Medvedevskih SV, Firsanov VA (2018) Determination of the integral content of the components of substances in the control, recording, and monitoring of production and generation of waste products in industrial quantities. Meas Tech 61:182–191. https://doi.org/10.1007/s11018-018-1407-4

    CrossRef  Google Scholar 

  10. JCGM 101:2008. Evaluation of measurement data—supplement 1 to the “Guide to the expression of uncertainty in measurement”—propagation of distributions using a Monte Carlo method

    Google Scholar 

  11. Standard reference materials. Spectrometry, single element standard solutions: NIST. https://www.nist.gov/srmors/viewTable.cfm?tableid=39

  12. NIST (2000) NIST Special Publication 260-136. https://www.nist.gov/sites/default/files/documents/srm/SP260-136.PDF

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Acknowledgements

We are grateful to Tatiana N. Tabatchikova, the leading engineer of UNIIM, for providing measurement results obtained using the ICP MS method.

Author Contribution Statement

Migal P. V.: Identification of the paper concept and metrology, data analysis, collection of literature data, obtainment of experimental data, preparation of the manuscript draft, computer manuscript preparation, preparation of the final manuscript.

Medvedevskikh S. V.: Concept and initiation of the research, methodological support, critical analysis and text processing.

Firsanov V. A.: Methodical and mathematical support for the works described in the article.

Conflict of Interest

One of the authors is a member of the Editorial Board of these proceedings.

Author information

Authors and Affiliations

  1. Ural Scientific Research Institute for Metrology (FGUP UNIIM), Ekaterinburg, Russia

    Pavel V. Migal, Sergei V. Medvedevskikh & Valery A. Firsanov

Authors
  1. Pavel V. Migal
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  2. Sergei V. Medvedevskikh
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  3. Valery A. Firsanov
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Corresponding author

Correspondence to Pavel V. Migal .

Editor information

Editors and Affiliations

  1. Ural Scientific Research Institute for Metrology, Ekaterinburg, Russia

    Dr. Sergei V. Medvedevskikh

  2. Ural Scientific Research Institute for Metrology, Ekaterinburg, Russia

    Olga N. Kremleva

  3. A.P. Vinogradov Institute of Geochemistry Siberian Branch, Russian Academy of Sciences, Irkutsk, Russia

    Dr. Irina E. Vasil’eva

  4. Ural Scientific Research Institute for Metrology, Ekaterinburg, Russia

    Dr. Egor P. Sobina

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Migal, P.V., Medvedevskikh, S.V., Firsanov, V.A. (2020). A Method for Estimating the Certified Value Uncertainty of a Multicomponent Reference Material. In: Medvedevskikh, S., Kremleva, O., Vasil’eva, I., Sobina, E. (eds) Reference Materials in Measurement and Technology. RMMT 2018. Springer, Cham. https://doi.org/10.1007/978-3-030-32534-3_17

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