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Estimating the decision limit and the detection capability using matrix-matched calibration data

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Abstract

Matrix-matched calibration allows to quantify accurately without the necessity of correcting results for the bias error caused by matrix effects. In this work, an approach to estimate the decision limit CCα and the detection capability CCβ using matrix-matched calibration data series that were obtained at different times and under different conditions is described. The basic idea underlying the approach is to consider the set of the calibration submodels to be an ensemble of equally probable events. By way of illustration, the methodology is applied to a data set acquired within a validation study of an LC–MS assay for the determination of the aminoglycoside antibiotic dihydrostreptomycin in kidney.

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Authors and Affiliations

  1. CVUA Karlsruhe, Weißenburger Straße 3, 76187, Karlsruhe, Germany

    Panagiotis Steliopoulos

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  1. Panagiotis Steliopoulos
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Correspondence to Panagiotis Steliopoulos.

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Steliopoulos, P. Estimating the decision limit and the detection capability using matrix-matched calibration data. Accred Qual Assur 15, 105–109 (2010). https://doi.org/10.1007/s00769-009-0564-1

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  • DOI: https://doi.org/10.1007/s00769-009-0564-1

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