Abstract
A model is presented that correlates historical proficiency test data as the log of interlaboratory standard deviations versus the log of analyte concentrations, independent of analyte (measurand) or matrix. Analytical chemistry laboratories can use this model to set their internal measurement quality objectives and to apply the uncertainty budget process to assign the maximum allowable variation in each major step in their bias-free measurement systems. Laboratories that are compliant with this model are able to pass future proficiency tests and demonstrate competence to laboratory clients and ISO 17025 accreditation bodies. Electronic supplementary material to this paper can be obtained by using the Springer LINK server located at http://dx.doi.org/ 10.1007/s007690100398-y.
Similar content being viewed by others
Author information
Authors and Affiliations
Additional information
Received: 31 March 2001 Accepted: 11 September 2001
Rights and permissions
About this article
Cite this article
Flinchbaugh, D., Crawford, L. & Bradley, D. A model to set measurement quality objectives and to establish measurement uncertainty expectations in analytical chemistry laboratories using ASTM proficiency test data. Accred Qual Assur 6, 493–500 (2001). https://doi.org/10.1007/s007690100398-y.
Issue Date:
DOI: https://doi.org/10.1007/s007690100398-y.