Estimation of Measurement Uncertainty in Water Quality Analysis

Estimation of Measurement Uncertainty in Water Quality Analysis
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This content delves into the ISO standards and EU regulations regarding the estimation of measurement uncertainty in water quality analysis. It covers methods for assessing random and systematic errors, utilizing results from proficiency testing comparisons, and the importance of validation and quality control data in single laboratories. The emphasis is on achieving accurate and reliable results in water analysis through standardized procedures.

  • Water quality
  • Measurement uncertainty
  • ISO standards
  • EU regulations
  • Laboratory analysis

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  1. ISO 11352:2012 Water Quality ESTIMATION OF MEASUREMENT UNCERTAINTY BASED ON VALIDATION AND QUALITY CONTROL DATA Les Coveney, INAB Calibration & Uncertainty Day, 18th June 2018

  2. Contents EU REGULATIONS 2017 ISO 11352:2012 Estimation of Random & Systematic Errors Use of Results from PT Comparisons Examples Annex A & B Les Coveney, INAB Calibration & Uncertainty Day, 18th June 2018

  3. EU REGULATIONS 2017 European Union (Drinking Water) (Amendment) Regulations 2017 (SI 464 2017) Changed the way the suitability of test methods for water quality must be evaluated e.g.: Parameter Trueness Precision LOD Uncertaint y Until 31st December 2019 Copper After 31st December 2019 Copper 10% PV 10% PV 10% PV 30% PV 25% PV Accredited laboratories will have to demonstrate that they have verified their methods in the revised terms within the deadline to continue meeting the requirements of ISO 17025 Les Coveney, INAB Calibration & Uncertainty Day, 18th June 2018

  4. ISO 11352:2012 Water quality Estimation of measurement uncertainty based on validation and quality control data This International Standard specifies methods for the estimation of measurement uncertainty of chemical and physicochemical methods in single laboratories based on validation data and analytical quality control results obtained within the field of water analysis. Les Coveney, INAB Calibration & Uncertainty Day, 18th June 2018

  5. Estimation of Random & Systematic Errors Uses the simple model for estimating combined standard uncertainty: 2 2 ??= ??? + ?? Random (Precision) Stable control material covering whole of analytical process Stable synthetic control sample Systematic (Bias) Suitable reference materials (matrix, concentration) At least 6 samples analysed in PT schemes Recovery from at least 6 different samples Les Coveney, INAB Calibration & Uncertainty Day, 18th June 2018

  6. Use of Results from PT Comparisons Results from interlaboratory comparisons may be used in the same way as results from analyses of reference materials, if it is assumed that the assigned value in the interlaboratory comparison is a sufficiently good estimate of the true value. NOTE 1 In proficiency testing schemes, often, only single measurements are performed on a single day. Therefore, the difference between a laboratory result and the assigned value is calculated for different interlaboratory samples. This difference then includes contributions from both the uncertainty component associated with method and laboratory bias, ub, and the uncertainty component for the within-laboratory reproducibility, uRw . The contributions from both components can lead to an overestimate of measurement uncertainty Les Coveney, INAB Calibration & Uncertainty Day, 18th June 2018

  7. Estimation of Uncertainty in Bias Uncertainty in bias estimated as: 2 2 ??= ???? + ????? 2 2 Where ???? uncertainty of assigned values There is guidance calculation of both terms under different circumstances and statistical designs of the PT schemes. Uncertainties in assigned values should be provided in PT reports is root mean square of differences (AV-Lab) and ????? is the mean Les Coveney, INAB Calibration & Uncertainty Day, 18th June 2018

  8. Examples Annex A & B Estimation of standard uncertainty from range control charts Estimation of measurement uncertainty using reference material Uncertainty in reference materials Estimation of measurement uncertainty based on data from proficiency tests Uncertainty in PT assigned values Estimation of measurement uncertainty using a standard solution as quality control sample and recovery experiments uncertainty in the concentration of the analyte added Les Coveney, INAB Calibration & Uncertainty Day, 18th June 2018

  9. Contents EU REGULATIONS 2017 ISO 11352:2012 Estimation of Random & Systematic Errors Use of Results from PT Comparisons Examples Annex A & B Les Coveney, INAB Calibration & Uncertainty Day, 18th June 2018

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