Software support for the Nordtest method of measurement uncertainty evaluation

Abstract

Software support for the Nordtest method of measurement uncertainty evaluation is described. According to the Nordtest approach, the combined measurement uncertainty is broken down into two main components—the within-laboratory reproducibility (intermediate precision) s Rw and the uncertainty due to possible laboratory bias u(bias). Both of these can be conveniently estimated from validation and quality control data, thus significantly reducing the need for performing dedicated experiments for estimating detailed uncertainty contributions and thereby making uncertainty estimation easier for routine laboratories. An additional merit of this uncertainty estimation approach is that it reduces the danger of underestimating the uncertainty, which continues to be a problem at routine laboratories. The described software tool—MUkit (measurement uncertainty kit)—fully reflects the versatility of the Nordtest approach: it enables estimating the uncertainty components from different types of data, and the data can be imported using a variety of means such as different laboratory data systems and a dedicated web service as well as manual input. Prior to the development of the MUkit software, a laboratory survey was carried out to identify the needs of laboratories related to uncertainty estimation and other quality assurance procedures, as well as their needs for a practical tool for the calculation of measurement uncertainty.

This is a preview of subscription content, access via your institution.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

References

  1. 1.

    Williams G et al (2002) DG-Research GROWTH Programme Contract No: G6MA-2000–2002. Pembroke College, Oxford

    Google Scholar 

  2. 2.

    Education in metrology in chemistry—why and how? Presented at the Finnish Laboratory Days in 2011. Available online at www.ut.ee/ams/wp-content/uploads/2011/09/MiC_Education_SYKE_Helsinki_Ivo_Leito_2011.pdf

  3. 3.

    NIST news release (2000) New national standards strategy can advance U.S. technology interests. Available via www.nist.gov/public_affairs/releases/n00-14.cfm

  4. 4.

    Mäkinen I (2009) Accred Qual Assur 14:35–41

    Article  Google Scholar 

  5. 5.

    King B (1999) Metrology in chemistry. Current activities and future requirements in Europe, EUR 19074 EN, Luxembourg

  6. 6.

    Papadakis I, Van Nevel L, Harper C, Aregbe Y, Taylor PDP (2007) Accred Qual Assur 12:105–111

    Article  CAS  Google Scholar 

  7. 7.

    Van Nevel L, Taylor PDP, Örnemark U, Moody JR, Heumann KG, De Bievre P (1998) Accred Qual Assur 3:56–68

    Article  Google Scholar 

  8. 8.

    Balzamo S, Zorzi P, Barbizzi S, Calabretta E, Potalivo M, Rosamilia S (2009) Accred Qual Assur 14:487–495

    Article  CAS  Google Scholar 

  9. 9.

    ISO (1993) Guide to the expression of uncertainty in measurement, Geneva, Switzerland (reprinted 1995)

  10. 10.

    ISO JCGM 100 (2008) Evaluation of measurement data—guide to the expression of uncertainty in measurement

  11. 11.

    Eurachem/CITAC Guide CG 4 (2012) Quantifying uncertainty in analytical measurement, 3rd edn. Available via www.eurachem.org

  12. 12.

    Ellison SLR, Barwick VJ (1998) Analyst 123:1387–1392

    Article  CAS  Google Scholar 

  13. 13.

    Maroto A, Riu J, Boqué R, Rius FV (1999) Anal Chim Acta 391:173–185

    Article  CAS  Google Scholar 

  14. 14.

    Jülicher B, Gowik P, Uhlig S (1999) Analyst 124:537

    Article  Google Scholar 

  15. 15.

    Magnusson B, Näykki T, Hovind H, Krysell M (2011) Nordtest technical report 537—handbook for the calculation of measurement uncertainty in environmental laboratories, 3rd edn. Nordic Innovation, Oslo, Norway. Available via www.nordtest.info

  16. 16.

    Silva RJNB, Lino MJ, Santos JR, Camões MFGFC (2000) Analyst 125:1459–1464

    Article  Google Scholar 

  17. 17.

    Silva RJNB, Figueiredo H, Santos JR, Camoes MFGFC (2003) Anal Chim Acta 477:169–185

    Article  Google Scholar 

  18. 18.

    Silva RJNB, Santos JR, Camões MFGFC (2006) Accred Qual Assur 10:664–671

    Article  Google Scholar 

  19. 19.

    Eurolab (2007) Measurement uncertainty revisited: alternative approaches to uncertainty evaluation. Available via website: www.eurolab.org/documents/Technical_Report_Measurement_Uncertainty_2007.pdf

  20. 20.

    ISO 11352:2012, Water quality—estimation of measurement uncertainty based on validation and quality control data, ISO 2012

  21. 21.

    Rasmussen SN (2003) Software tools for the expression of uncertainty in measurement, MetroTrade workshop on traceability and measurement uncertainty in testing. Berlin, 30–31 Jan 2003

  22. 22.

    Jurado JM, Alcázar A (2005) Accred Qual Assur 10:373–381

    Article  Google Scholar 

  23. 23.

    Mukit website: www.environment.fi/syke/envical

  24. 24.

    Korhonen K, Järvinen O, Näykki T, Sara-Aho T, Ivalo R, Tervonen K, Ilmakunnas M (2009) SYKE proficiency test 6/2008 (in Finnish), reports of Finnish Environment Institute 28/2009, Helsinki. Available via www.ymparisto.fi/download.asp?contentid=101746&lan=fi

  25. 25.

    Leivuori M, Korhonen K, Järvinen O, Näykki T, Sara-Aho T, Tervonen K, Lanteri S, Ilmakunnas M (2009) SYKE proficiency test 4/2009, reports of Finnish Environment Institute 28/2009, Helsinki. Available via www.ymparisto.fi/download.asp?contentid=114413&lan=fi

  26. 26.

    Leivuori M, Korhonen K, Järvinen O, Näykki T, Sara-Aho T, Tervonen K, Lanteri S, Ilmakunnas M (2011) SYKE proficiency test 3/2010, reports of Finnish Environment Institute 1/2011, Helsinki. Available via www.ymparisto.fi/download.asp?contentid=124198&lan=fi

  27. 27.

    Leivuori M, Korhonen K, Järvinen O, Näykki T, Sara-Aho T, Tervonen K, Lanteri S, Ilmakunnas M (2011) SYKE proficiency test 3/2011, reports of Finnish Environment Institute 22/2011, Helsinki. Available via www.ymparisto.fi/download.asp?contentid=132541&lan=fi

  28. 28.

    ISO/IEC 17025:2005 General requirements for the competence of testing and calibration laboratories, ISO 2005

Download references

Acknowledgments

This work has received funding from the Strategic Centre for Science, Technology and Innovation of the Finnish energy and environment cluster’s (Cleen Ltd) programme for Measurement, Monitoring, and Environmental Efficiency Assessment (MMEA), which in turn receives funding from the Finnish Funding Agency for Technology and Innovation (TEKES). The work has also been partially supported by Joint graduate school ‘Functional materials and technologies’ of Tartu University and Tallinn Technical University receiving funding from the European Social Fund under project 1.2.0401.09-0079 in Estonia. The authors also acknowledge registered association ‘Maa- ja vesitekniikan tuki ry’ for financial support. Personnel of SYKE Laboratory (Mirja Leivuori, Markku Ilmakunnas, Timo Vänni, Mika Sarkkinen, and Marketta Turunen), Information Centre (Esa Hirvonen and Sami Korhonen) and Graphic Services (Erika Varkonyi and Satu Turtiainen) are acknowledged for their invaluable contribution during the development of the software. The pilot laboratories (Nablabs laboratories, Mervi Tabell; University of Helsinki, Department of Environmental Sciences, Jukka Pellinen; UPM, Pietarsaari, Tomi Heikkinen, Stora Enso Oyj Research Centre, Jouni Kumpulainen; Environmental Laboratory of Haapavesi, Tuula Savolainen; and Labtium Ltd, Juha Virtasalo), are also acknowledged for their important contribution for testing the software.

Author information

Affiliations

Authors

Corresponding author

Correspondence to Teemu Näykki.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (PDF 723 kb)

Rights and permissions

Reprints and Permissions

About this article

Cite this article

Näykki, T., Virtanen, A. & Leito, I. Software support for the Nordtest method of measurement uncertainty evaluation. Accred Qual Assur 17, 603–612 (2012). https://doi.org/10.1007/s00769-012-0932-0

Download citation

Keywords

  • Measurement uncertainty
  • Validation
  • Within-laboratory reproducibility
  • Bias
  • Software
  • Testing laboratories
  • Quality control
  • Proficiency testing
  • Nordtest