Details zur Publikation

Kategorie Textpublikation
Referenztyp Zeitschriften
DOI 10.1007/s00769-010-0731-4
Volltext Shareable Link
Titel (primär) Application of a special in-house validation procedure for environmental-analytical schemes including a comparison of functions for modelling the repeatability standard deviation
Autor Brüggemann, L.; Wennrich, R.
Quelle Accreditation and Quality Assurance
Erscheinungsjahr 2011
Department ANA
Band/Volume 19
Heft 2
Seite von 89
Seite bis 97
Sprache englisch
Keywords In-house validation; Variance component model; Repeatability standard deviation
Abstract For some years, a special in-house validation concept according to the Commission Decision 2002/657/EC of the European Union is employed. The validation concept is based on a variance component model, which allows to consider matrix- and operation-induced deviations and to calculate critical concentrations for given a-errors. The approach relies on a comprehensive mathematical model to asses simultaneously the in-house reproducibility and its components. One important component, the repeatability standard deviation, is estimated by means of a power function of the Horwitz-type. In this study, several performance characteristics were compared based on the use of four recommended estimations for the standard deviation depending on the concentration level of the analyte. A special factorial design for calibration, considering three factors influencing the variance of the measurement values, was applied for the determination of arsenic in surface water samples collected at several abandoned mining sites in Germany. The advantageous applicability of the validation method presented for analytical procedures referring to environmental tasks was demonstrated.
dauerhafte UFZ-Verlinkung https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=10727
Brüggemann, L., Wennrich, R. (2011):
Application of a special in-house validation procedure for environmental-analytical schemes including a comparison of functions for modelling the repeatability standard deviation
Accredit. Qual. Assur. 19 (2), 89 - 97 10.1007/s00769-010-0731-4