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New advances in method validation and measurement uncertainty aimed at improving the quality of chemical data

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Abstract

The implementation of quality systems in analytical laboratories has now, in general, been achieved. While this requirement significantly modified the way that the laboratories were run, it has also improved the quality of the results. The key idea is to use analytical procedures which produce results that fulfil the users’ needs and actually help when making decisions. This paper presents the implications of quality systems on the conception and development of an analytical procedure. It introduces the concept of the lifecycle of a method as a model that can be used to organize the selection, development, validation and routine application of a method. It underlines the importance of method validation, and presents a recent approach based on the accuracy profile to illustrate how validation must be fully integrated into the basic design of the method. Thanks to the β-expectation tolerance interval introduced by Mee (Technometrics (1984) 26(3):251–253), it is possible to unambiguously demonstrate the fitness for purpose of a new method. Remembering that it is also a requirement for accredited laboratories to express the measurement uncertainty, the authors show that uncertainty can be easily related to the trueness and precision of the data collected when building the method accuracy profile.

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Authors and Affiliations

  1. Institut National de la Recherche Agronomique, 16 rue Claude Bernard, 75231, Paris cedex 05, France

    Max Feinberg

  2. Lilly Development Centre, Statistical and Mathematical Sciences, rue Granbompré 11, 1348, Mont-Saint-Guilbert, Belgium

    Bruno Boulanger & Walthère Dewé

  3. Department of Analytical and Pharmaceutical Chemistry, Institute of Pharmacy, University of Liège, CHU, B36, 4000, Liège 1, Belgium

    Philippe Hubert

Authors
  1. Max Feinberg
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  2. Bruno Boulanger
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  3. Walthère Dewé
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  4. Philippe Hubert
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Correspondence to Max Feinberg.

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Feinberg, M., Boulanger, B., Dewé, W. et al. New advances in method validation and measurement uncertainty aimed at improving the quality of chemical data. Anal Bioanal Chem 380, 502–514 (2004). https://doi.org/10.1007/s00216-004-2791-y

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  • DOI: https://doi.org/10.1007/s00216-004-2791-y

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