Setting Target Measurement Uncertainty in Water Analysis

Water is the most frequently and thoroughly characterised product due to the impact of the chemical composition of water of different sources or destinations on public health and on economy. The adequacy of water characterisation relies on measurement quality, which is a function of measurement trac...

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Main Author: Ricardo J.N. Bettencourt da Silva
Format: Article
Language:English
Published: MDPI AG 2013-09-01
Series:Water
Subjects:
Online Access:http://www.mdpi.com/2073-4441/5/3/1279
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spelling doaj-dfe6f14d4fd94ce0bebb5d20759612892020-11-24T22:29:09ZengMDPI AGWater2073-44412013-09-01531279130210.3390/w5031279Setting Target Measurement Uncertainty in Water AnalysisRicardo J.N. Bettencourt da SilvaWater is the most frequently and thoroughly characterised product due to the impact of the chemical composition of water of different sources or destinations on public health and on economy. The adequacy of water characterisation relies on measurement quality, which is a function of measurement traceability and uncertainty. In some analytical fields, target values of measurement performance parameters are set to ensure that the measurements quality is fit for the intended use. Nevertheless, frequently, these performance parameters do not allow the control of the magnitude of relevant components of measurement uncertainty. This work discusses the need for assessing fitness of the measurement for its intended use through the magnitude of uncertainty associated to the measurement value. The way this evaluation should be performed, when no guidelines are available, is also suggested. Target values of relevant performance parameters, results of interlaboratory tests, or the magnitude of trends of the measured quantity, are some types of information useful to define the maximum admissible uncertainty, i.e., target uncertainty. The information and algorithms used to define the target uncertainty are presented from the most suitable to the less likely to produce consensual values. Calculations are illustrated with application examples of different analytical fields. In this work, the way in which variability of uncertainty evaluation is taken into account when comparing estimated with target uncertainty is also discussed.http://www.mdpi.com/2073-4441/5/3/1279target uncertaintyqualityvalidationwater analysis
collection DOAJ
language English
format Article
sources DOAJ
author Ricardo J.N. Bettencourt da Silva
spellingShingle Ricardo J.N. Bettencourt da Silva
Setting Target Measurement Uncertainty in Water Analysis
Water
target uncertainty
quality
validation
water analysis
author_facet Ricardo J.N. Bettencourt da Silva
author_sort Ricardo J.N. Bettencourt da Silva
title Setting Target Measurement Uncertainty in Water Analysis
title_short Setting Target Measurement Uncertainty in Water Analysis
title_full Setting Target Measurement Uncertainty in Water Analysis
title_fullStr Setting Target Measurement Uncertainty in Water Analysis
title_full_unstemmed Setting Target Measurement Uncertainty in Water Analysis
title_sort setting target measurement uncertainty in water analysis
publisher MDPI AG
series Water
issn 2073-4441
publishDate 2013-09-01
description Water is the most frequently and thoroughly characterised product due to the impact of the chemical composition of water of different sources or destinations on public health and on economy. The adequacy of water characterisation relies on measurement quality, which is a function of measurement traceability and uncertainty. In some analytical fields, target values of measurement performance parameters are set to ensure that the measurements quality is fit for the intended use. Nevertheless, frequently, these performance parameters do not allow the control of the magnitude of relevant components of measurement uncertainty. This work discusses the need for assessing fitness of the measurement for its intended use through the magnitude of uncertainty associated to the measurement value. The way this evaluation should be performed, when no guidelines are available, is also suggested. Target values of relevant performance parameters, results of interlaboratory tests, or the magnitude of trends of the measured quantity, are some types of information useful to define the maximum admissible uncertainty, i.e., target uncertainty. The information and algorithms used to define the target uncertainty are presented from the most suitable to the less likely to produce consensual values. Calculations are illustrated with application examples of different analytical fields. In this work, the way in which variability of uncertainty evaluation is taken into account when comparing estimated with target uncertainty is also discussed.
topic target uncertainty
quality
validation
water analysis
url http://www.mdpi.com/2073-4441/5/3/1279
work_keys_str_mv AT ricardojnbettencourtdasilva settingtargetmeasurementuncertaintyinwateranalysis
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