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Journal of Analytical Methods in Chemistry
Volume 2017 (2017), Article ID 9796457, 13 pages
Research Article

Validating Analytical Protocols to Determine Selected Pesticides and PCBs Using Routine Samples

Chemistry Division, CIEMAT, Av. Complutense 40, 28040 Madrid, Spain

Correspondence should be addressed to Oscar Pindado Jiménez

Received 4 July 2017; Accepted 18 September 2017; Published 29 October 2017

Academic Editor: Paolo Montuori

Copyright © 2017 Oscar Pindado Jiménez et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


This study aims at providing recommendations concerning the validation of analytical protocols by using routine samples. It is intended to provide a case-study on how to validate the analytical methods in different environmental matrices. In order to analyze the selected compounds (pesticides and polychlorinated biphenyls) in two different environmental matrices, the current work has performed and validated two analytical procedures by GC-MS. A description is given of the validation of the two protocols by the analysis of more than 30 samples of water and sediments collected along nine months. The present work also scopes the uncertainty associated with both analytical protocols. In detail, uncertainty of water sample was performed through a conventional approach. However, for the sediments matrices, the estimation of proportional/constant bias is also included due to its inhomogeneity. Results for the sediment matrix are reliable, showing a range 25–35% of analytical variability associated with intermediate conditions. The analytical methodology for the water matrix determines the selected compounds with acceptable recoveries and the combined uncertainty ranges between 20 and 30%. Analyzing routine samples is rarely applied to assess trueness of novel analytical methods and up to now this methodology was not focused on organochlorine compounds in environmental matrices.