Uncertainty Profile: a new global strategy for the analytical validation and the estimation of measurement uncertainty

This article has the ambition to unveil a new strategy for evaluating the performance of quantitative analytical procedures. Our main objective is primarily to bring two important concepts namely analytical validation and measurement uncertainty, to develop a global strategy to verify if an analytical method is well suited for its objectives. For this purpose, we have introduced a graphical tool making both simple and efficient called uncertainty profile. This tool uses the notion of uncertainty instead of the concept of total error for assessing the performance of analytical methods. Equally important, the proposed approach allows a good estimation of measurement uncertainty using data validation without having recourse to other additional experiments.