Updating of Quantitative Models in Validation and Routine Tests of Comparative Chemical Methods

Nowadays, health and safety requirements are becoming more urgent, through normative and regulatory texts, considering the intense demands of customers from the different sectors of socio-economic activities. Chemical testing must undoubtedly assume a large part of the tasks related to these concerns, despite the delay observed in their metrological concepts, due to the complexity of the chemical and biological samples. Hence, technical and methodological creativity will be well supported, including theoretical revisions and updates of existing methods, in order to overcome the various encountered analytical problems and to fill some frequent lack of metrological tools. In this study, we propose hybrid quantification models, while showing their contributing effects on analytical improvement and decision-making in validation and routine testing of comparative chemical methods. To this end, external calibration plans, with or without a matrix, were established to generate and compare various quantitative models, which make it possible to determine, cleverly, validation and real samples concentrations. The obtained results shed light on the real causes leading to the poor quality that can be found in the obtained validation data. However, highlighted quantitative models show an improvement in both precision and accuracy, which reduce by (5 to 9%) the uncertainty measurement. In addition, these estimates show a comparable quality for routinely tests.