Abstract. The analyst needs to know whether the result of measurement can be accepted with confidence or, on the contrary, rejected because it is wrong. It is essential, also, to know whether an analysis method is suitable for the intended use. Likewise, it is more important for the researcher to know if he can trust a new developed method and what are the criteria to respect to ensure its validity. The statistical tools allow us to address all these points. The experimental protocol applied in this work is based on a common methodology, inspired by regulatory guidelines regarding statistical data analysis in analytical method validation, to optimize the number of assays and satisfy the study of validation criteria. In order to better understand the statistical analysis of raw data, practical examples are treated for quantify: an active ingredient in pharmaceutical drugs, a heavy metal in fishery products, and a drug in seizures.

Polychlorinated biphenyls have been determined in bivalve molluscs collected from OUALIDIA region in Morocco. It is a popular seaside resort of Moroccans, it is located 70 km south of El Jadida in the direction of Safi. Her Celebrity is due to its lagoon and oyster parks in September 2016. High-performance analytical techniques are required for the identification and quantification of these persistent organic pollutants. The objective of this study is to develop a multi-residual analysis method for polychlorinated biphenyls in bivalves by gas chromatography coupled with quadrupole triple mass spectrometry. A global protocol comprising a QuECHERS version of the extraction step followed by a step of purifying the extract obtained on a mixture of the adsorbents was carried out. The developed method allows the quantification of 7 polychlorinated biphenyls in "Oyster" bivalves. Linearity (R ≥ 0.995), specificity and selectivity, having an average efficiency greater than 70%, repeatability, reproducibility, accuracy, are checked. As a result, the potential of the developed method has been demonstrated.

No abstract

No abstract

No abstract