Université Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, F-63122, Saint-Genès-Champanelle, France.
Université Clermont Auvergne, INRA, VetAgro Sup, UMR Herbivores, F-63122, Saint-Genès-Champanelle, France.
Anal Chim Acta. 2018 Aug 22;1020:9-16. doi: 10.1016/j.aca.2018.03.032. Epub 2018 Mar 30.
Many biological studies seek to confirm the effect of a treatment on the levels of chemical markers in biological tissues. This requires choosing the analytical method best able to detect the difference between basal levels and those found after treatment. We propose a new approach to calculate a criterion we call the 'discrimination threshold' (DT), and we applied it to an analytical method that we developed to determine cortisol in cattle plasma to detect stress. DT is derived from the measurement uncertainty (MU), and combines the variabilities of both the analytical method and the marker. The uncertainty of the analytical method comes from the method validation study. The marker variability (here cortisol) is modeled from a literature review. The graphical representation of DT allows estimating the applicability of the method. Our analytical method is shown to perform well when the difference in blood cortisol exceeds 18 ng. mL.
许多生物学研究都试图证实治疗对生物组织中化学标志物水平的影响。这就需要选择最能检测出基础水平与治疗后水平之间差异的分析方法。我们提出了一种新方法来计算我们称之为“判别阈值”（DT）的标准，并将其应用于我们开发的一种用于检测应激的牛血浆中皮质醇的分析方法。DT 源自测量不确定度（MU），并结合了分析方法和标志物的可变性。分析方法的不确定度来自于方法验证研究。标志物的可变性（这里是皮质醇）通过文献综述进行建模。DT 的图形表示允许估计方法的适用性。当血液皮质醇的差异超过 18ng/ml 时，我们的分析方法显示出良好的性能。
