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Issue 7, 2011
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Improved evaluation of measurement uncertainty from sampling by inclusion of between-sampler bias using sampling proficiency testing

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Abstract

A realistic estimate of the uncertainty of a measurement result is essential for its reliable interpretation. Recent methods for such estimation include the contribution to uncertainty from the sampling process, but they only include the random and not the systematic effects. Sampling Proficiency Tests (SPTs) have been used previously to assess the performance of samplers, but the results can also be used to evaluate measurement uncertainty, including the systematic effects. A new SPT conducted on the determination of moisture in fresh butter is used to exemplify how SPT results can be used not only to score samplers but also to estimate uncertainty. The comparison between uncertainty evaluated within- and between-samplers is used to demonstrate that sampling bias is causing the estimates of expanded relative uncertainty to rise by over a factor of two (from 0.39% to 0.87%) in this case. General criteria are given for the experimental design and the sampling target that are required to apply this approach to measurements on any material.

Graphical abstract: Improved evaluation of measurement uncertainty from sampling by inclusion of between-sampler bias using sampling proficiency testing

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Publication details

The article was received on 10 Sep 2010, accepted on 11 Jan 2011 and first published on 31 Jan 2011


Article type: Paper
DOI: 10.1039/C0AN00705F
Citation: Analyst, 2011,136, 1313-1321
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    Improved evaluation of measurement uncertainty from sampling by inclusion of between-sampler bias using sampling proficiency testing

    M. H. Ramsey, B. Geelhoed, R. Wood and A. P. Damant, Analyst, 2011, 136, 1313
    DOI: 10.1039/C0AN00705F

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