Articles

De nouveaux critères de sélection des méthodes quantitatives d'analyse fondés sur l'incertitude de mesure : Application à une méthode HPLC d'analyse des catécholamines

Abstract

A lot of biological studies try to measure a stimulus effect or a treatment on biomarker concentrations in biological tissues. To do so, the analysis method would be able to detect a difference between concentrations before and after treatment. We have recently published a paper that describe the way to choice the best method. It is based upon a « threshold discrimination » criterion (SD in French). Now, to study stress detection, this paper tries to apply the HPLC analytical method developed to determine adrenaline and noradrenaline levels on beef plasma. The SD is derived from the measure uncertainty (IM) and combines the variability of the analytical method and the response level of biomarkers. The measurement uncertainty is easy to obtain when the uncertainty method function is known. The level responses of biomarkers (adrenaline and noradrenaline) are modelised through a bibliographic study. The proposed analytical method fits well when the variation of plasma rates go beyond 2 ng.ml-1 for adrenaline and 2.5 ng.ml-1 for noradrenaline.

Authors


Stéphane Andanson

stephane.andanson@inra.fr

Affiliation : Université Clermont Auvergne, INRA, Vetagro Sup, UMR Herbivores, F-63122 Saint Genès Champanelle, France

Country : France


Quentin Delahaye

Affiliation : Université Clermont Auvergne, INRA, Vetagro Sup, UMR Herbivores, F-63122 Saint Genès Champanelle, France

Country : France


Christine Ravel

Affiliation : Université Clermont Auvergne, INRA, Vetagro Sup, UMR Herbivores, F-63122 Saint Genès Champanelle, France

Country : France


Max H. Feinberg

Affiliation : 100 Boulevard Kellermann, F-75013 Paris, France

Country : France

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