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Measurement uncertainty for QC/QA applied to the chemical analysis  

Woo, Jin-Chun (Division of Chemical Metrology and Materials Evaluation, Korea Research Institute of Standards and Science(KRISS))
Oh, Sang-Hyub (Division of Chemical Metrology and Materials Evaluation, Korea Research Institute of Standards and Science(KRISS))
Kim, Byoung-Moon (Division of Chemical Metrology and Materials Evaluation, Korea Research Institute of Standards and Science(KRISS))
Bae, Hyun-Kil (Division of Chemical Metrology and Materials Evaluation, Korea Research Institute of Standards and Science(KRISS))
Kim, Kwang-Sub (Division of Chemical Metrology and Materials Evaluation, Korea Research Institute of Standards and Science(KRISS))
Kim, Young-Doo (Division of Chemical Metrology and Materials Evaluation, Korea Research Institute of Standards and Science(KRISS))
Publication Information
Analytical Science and Technology / v.18, no.6, 2005 , pp. 475-482 More about this Journal
Abstract
The expression of uncertainty applied to the chemical analysis is highly recommended with increasing demands upon the systematic quality assurance and control(QA/QC) with ISO 17025. For the quantification of quality source, 7 major common sources of uncertainty, normally contributing to the quality of the chemical analysis, were selected from QA/QC literatures of chemical analysis. They were classified into repeatability, drift, uncertainty in standards, linearity of calibration, homogeneity, stability of sample, and matrix effect. And, the quantification of the sources by means of measurement uncertainty was proposed as a prerequisite steps for QA/QC. Examples applied to the quantification procedures of modelling, combination and expression of standard uncertainty for the 7 major common sources were presented as a reference guide for QA/QC in chemical analysis.
Keywords
measurement uncertainty; QA/QC; chemical analysis; general procedure;
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