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Methodology in internal quality control of chemical analysis
RISE, SP – Sveriges Tekniska Forskningsinstitut, SP Sveriges tekniska forskningsinstitut, SP – Sveriges Tekniska Forskningsinstitut / Oorganisk kemi (Kmoo).
RISE, SP – Sveriges Tekniska Forskningsinstitut, SP Kemi Material och Ytor.
2013 (English)In: Accreditation and Quality Assurance, ISSN 0949-1775, E-ISSN 1432-0517, Vol. 18, no 4, p. 271-278Article in journal (Refereed) Published
Abstract [en]

Internal quality control (IQC) is an essential feature of routine analysis, serving to ensure that the uncertainty of results found during the validation of a procedure is maintained over long periods of time. The primary method of IQC is to analyse a surrogate material alongside the test materials in every run of analysis and thus address run-to-run precision (a subset of VIM3-defined 'intermediate conditions'). This 'control material' must be as similar as practicable in composition to the routine test materials, although there are always some differences. Results from the control material (control values) are plotted on a control chart, and out-of-control results have to be investigated and problems rectified. Considerable care is needed in obtaining correct values of the parameters for determining statistical control limits, and these can be adequately estimated only during routine use of the analytical procedure. In contrast, target control limits have to be set on a fitness-for-purpose basis and are necessarily wider that statistical control limits. An additional type of internal quality control can be executed by the analysis of duplicate test portions of some of the actual test samples. This provides a realistic dispersion, but addresses only repeatability precision. A further complication of duplication is that the precision of results typically varies with concentration of the analyte.

Place, publisher, year, edition, pages
2013. Vol. 18, no 4, p. 271-278
Keywords [en]
Duplication, Intermediate precision, Internal quality control, Repeatability precision, Run-to-run precision, Statistical control, Surrogate control materials, Target limits
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-6532DOI: 10.1007/s00769-013-0955-1Scopus ID: 2-s2.0-84881049344Local ID: 23810OAI: oai:DiVA.org:ri-6532DiVA, id: diva2:964370
Available from: 2016-09-08 Created: 2016-09-08 Last updated: 2020-12-02Bibliographically approved

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