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An international intercomparison exercise on passive samplers (DGT) for monitoring metals in marine waters under a regulatory context

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  • Jean Louis Gonzalez
  • Isabelle Amouroux
  • Stephane Guesdon
  • Florence Menet-Nedelec
  • Emmanuel Ponzevera
  • Natalia Montero
  • Barbara Marras
  • Marco Schintu
  • Miguel Caetano
  • Margarida Correia Dos Santos
  • Marta Rodrigo Sanz
  • Vanessa Millán Gabet
  • German Rodríguez Jose
  • María Jesús Belzunce-Segarra
  • Joana Larreta
  • Iratxe Menchaca
  • Philippe Bersuder
  • Thi Bolam
  • Fiona Regan
  • Blánaid White
Article number157499
<mark>Journal publication date</mark>15/11/2022
<mark>Journal</mark>Science of the Total Environment
Number of pages10
Publication StatusPublished
Early online date1/08/22
<mark>Original language</mark>English


In order to move forward in the acceptance of a novel contaminant monitoring technique (Diffusive Gradients in Thin-films: DGT) for assessment of marine water bodies, sensu the WFD, an Inter-Laboratories Comparison (ILC) exercise (nine Europeans laboratories) was organized in the framework of the Interreg Atlantic Area MONITOOL project, which focused on the use of the DGT technique for the measurement of WFD priority metals (Cd, Ni and Pb). Reproducible results were obtained for each metal by several laboratories, supporting the assertion that DGT analysis can be performed satisfactorily by laboratories experienced in measuring metals at trace levels in marine environments, even if they have limited practice in DGT analysis. According to the Z-score analysis, among the 9 participating laboratories, 3 had 100 % of satisfactory results for Cd, Ni, and Pb, 3 had >80 % satisfactory results and 2 had about 60 % satisfactory results. This work highlights the need to clearly describe the DGT method in order to control sources of contamination during analytical steps, in particular the resin gel retrieval and the elution steps. Such international intercomparison exercise is an important step to develop the laboratory network involved in DGT analysis and contributes to the improvement of data quality.