Literature DB >> 11508456

Quantifying the measurement uncertainty of results from environmental analytical methods.

J Moser1, W Wegscheider, C Sperka-Gottlieb.   

Abstract

The Eurachem-CITAC Guide Quantifying Uncertainty in Analytical Measurement was put into practice in a public laboratory devoted to environmental analytical measurements. In doing so due regard was given to the provisions of ISO 17025 and an attempt was made to base the entire estimation of measurement uncertainty on available data from the literature or from previously performed validation studies. Most environmental analytical procedures laid down in national or international standards are the result of cooperative efforts and put into effect as part of a compromise between all parties involved, public and private, that also encompasses environmental standards and statutory limits. Central to many procedures is the focus on the measurement of environmental effects rather than on individual chemical species. In this situation it is particularly important to understand the measurement process well enough to produce a realistic uncertainty statement. Environmental analytical methods will be examined as far as necessary, but reference will also be made to analytical methods in general and to physical measurement methods where appropriate. This paper describes ways and means of quantifying uncertainty for frequently practised methods of environmental analysis. It will be shown that operationally defined measurands are no obstacle to the estimation process as described in the Eurachem/CITAC Guide if it is accepted that the dominating component of uncertainty comes from the actual practice of the method as a reproducibility standard deviation.

Year:  2001        PMID: 11508456     DOI: 10.1007/s002160100836

Source DB:  PubMed          Journal:  Fresenius J Anal Chem        ISSN: 0937-0633


  2 in total

1.  Standardisation of data from real-time quantitative PCR methods - evaluation of outliers and comparison of calibration curves.

Authors:  Malcolm J Burns; Gavin J Nixon; Carole A Foy; Neil Harris
Journal:  BMC Biotechnol       Date:  2005-12-07       Impact factor: 2.563

2.  Automatic real-time uncertainty estimation for online measurements: a case study on water turbidity.

Authors:  Joonas Kahiluoto; Jukka Hirvonen; Teemu Näykki
Journal:  Environ Monit Assess       Date:  2019-04-02       Impact factor: 2.513

  2 in total

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