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Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods
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Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods

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

Max Feinberg1, Bruno Boulanger, Walthère Dewé

  • 1Institut National de la Recherche Agronomique, 16 rue Claude Bernard, 75231, Paris cedex 05, France. feinberg@inapg.inra.fr

Analytical and Bioanalytical Chemistry
|September 15, 2004
PubMed

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Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
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Uncertainty: Overview00:59

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In analytical chemistry, we often perform repetitive measurements to detect and minimize inaccuracies caused by both determinate and indeterminate errors. Despite the cares we take, the presence of random errors means that repeated measurements almost never have exactly the same magnitude. The collective difference between these measurements - observed values - and the estimated or expected value is called uncertainty. Uncertainty is conventionally written after the estimated or expected value.
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