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Alternative calculation of measurement uncertainty with global approach in food microbiology

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Abstract

Calculation of measurement uncertainty is a requirement for all laboratories accredited to ISO/IEC 17025 including those carrying out microbiological analyses. Today, calculation of measurement uncertainty in microbiological analyses using precision data according to global approach principles is widely recognized by the microbiologists due to difficulties in quantification of individual uncertainty sources. In food microbiology, precision data obtained from different samples usually show over-dispersion, and the use of over-dispersed data may result in large variance. The current ISO standard on measurement uncertainty in food microbiology proposes the use of log-transformed precision data to overcome this problem. This paper proposes an alternative procedure to calculate the measurement uncertainty in food microbiology using non-logarithmic precision data. The calculations used in this procedure based on relative range of duplicate analyses can be applied to intra-laboratory reproducibility data obtained from microbiological analyses of which duplicate results show relatively low variation.

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References

  1. ISO/IEC 17025 (2005) General requirements for the competence of testing and calibration laboratories. International Organization for Standardization, Geneva

    Google Scholar 

  2. Torlak E (2008) Measurement uncertainty in testing for antimicrobial activity on textile materials. Accred Qual Assur 13:563–566

    Article  CAS  Google Scholar 

  3. HPA QSOP 4 (2005) Uncertainty of measurement in testing. National Standard Methods. Health Protection Agency, London

    Google Scholar 

  4. IANZ AS TG5 (2004) Uncertainty of measurement, precision and limits of detection in chemical and microbiological testing laboratories. International Accreditation New Zealand, Auckland

    Google Scholar 

  5. ISO/TS 19036/Amd 1 (2009) Microbiology of food and animal feeding stuffs—guide on measurement of uncertainty for quantitative determinations. International Organization for Standardization, Geneva

    Google Scholar 

  6. EC Commission Regulation 2073/2005 (2005) Microbiological criteria for foodstuffs. European Commission, Brussels

    Google Scholar 

  7. TFC Regulation (2011) Microbiological criteria for foodstuffs. Turkish Food Codex, Ankara

    Google Scholar 

  8. EUROLAB Technical Report No. 1/2007 (2007) Measurement uncertainty revisited: alternative approaches to uncertainty test results and the uncertainty of evaluation. www.eurolab.org

  9. EURACHEM (2000) Quantifying uncertainty in analytical measurement. www.eurachem.org

  10. BIPM, IEC, IFCC, ILAC, IUPAC, IUPAP, ISO, OIML (2008) Evaluation of measurement data—guide for the expression of uncertainty in measurement. JCGM 100, http://www.bipm.org/en/publications/guides/gum.html

  11. Corry JEL, Jarvis B, Passmore SM, Hedges AJ (2007) A critical review of measurement uncertainty in the enumeration of food microorganisms. Food Microbiol 24:230–253

    Article  Google Scholar 

  12. Barwick VJ, Ellison SLR (2000) Protocol for uncertainty evaluation from validation data. LGC/VAM/1998/088

  13. ISO 21748 (2010) Guidance for the use of repeatability, reproducibility and trueness estimates in measurement uncertainty estimation. International Organization for Standardization, Geneva

    Google Scholar 

  14. BIPM, IEC, IFCC, ILAC, IUPAC, IUPAP, ISO, OIML (2008) International vocabulary of metrology—basic and general concepts and associated terms (VIM) 3rd edn, JCGM 200; http://www.bipm.org/vim

  15. ISO 5725-3 (1994) Accuracy (trueness and precision) of measurement methods and results—part 3: intermediate measures of the precision of a standard measurement method. International Organization for Standardization, Geneva

    Google Scholar 

  16. HPA QSOP 18 (2005) Recommended minimum internal quality control in food microbiology testing laboratories. National Standard Methods, Health Protection Agency, London

    Google Scholar 

  17. ISO 29201 (2012) Water quality—the variability of enumeration methods measurement of microbiological enumeration methods. International Organization for Standardization, Geneva

    Google Scholar 

  18. ISO 7218 (2007) Microbiology of food and animal feeding stuffs—general requirements and guidance for microbiological examinations. International Organization for Standardization, Geneva

    Google Scholar 

  19. FDA Ora-Lab.5.9 (2003) Assuring quality of test results. Food and Drug Administration, Silver Spring

    Google Scholar 

  20. ISO/TS 13530 (2009) Water quality—guidance on analytical quality control for chemical and physicochemical water analysis. International Organization for Standardization, Geneva

    Google Scholar 

  21. NORDTEST Report TR 569 (2011) Internal quality control handbook for chemical laboratories. www.nordtest.info

  22. ASTM MNL 7A (2002) Manual on presentation of data and control chart analysis. American Society for Testing and Materials, West Conshohocken

    Google Scholar 

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Correspondence to Emrah Torlak.

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Torlak, E. Alternative calculation of measurement uncertainty with global approach in food microbiology. Accred Qual Assur 17, 597–601 (2012). https://doi.org/10.1007/s00769-012-0933-z

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  • DOI: https://doi.org/10.1007/s00769-012-0933-z

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