Literature DB >> 26589099

Metal measurement in aquatic environments by passive sampling methods: Lessons learning from an in situ intercomparison exercise.

A Dabrin1, J-P Ghestem2, E Uher3, J-L Gonzalez4, I J Allan5, M Schintu6, N Montero7, J Balaam8, E Peinerud9, C Miège10, M Coquery10.   

Abstract

Passive sampling devices (PS) are widely used for pollutant monitoring in water, but estimation of measurement uncertainties by PS has seldom been undertaken. The aim of this work was to identify key parameters governing PS measurements of metals and their dispersion. We report the results of an in situ intercomparison exercise on diffusive gradient in thin films (DGT) in surface waters. Interlaboratory uncertainties of time-weighted average (TWA) concentrations were satisfactory (from 28% to 112%) given the number of participating laboratories (10) and ultra-trace metal concentrations involved. Data dispersion of TWA concentrations was mainly explained by uncertainties generated during DGT handling and analytical procedure steps. We highlight that DGT handling is critical for metals such as Cd, Cr and Zn, implying that DGT assembly/dismantling should be performed in very clean conditions. Using a unique dataset, we demonstrated that DGT markedly lowered the LOQ in comparison to spot sampling and stressed the need for accurate data calculation.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Blank; Coastal waters; Continental waters; DGT; Uncertainty

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Year:  2015        PMID: 26589099     DOI: 10.1016/j.envpol.2015.08.049

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  2 in total

1.  Aqueous copper bioavailability linked to shipwreck-contaminated reef sediments.

Authors:  Adam Hartland; Rebecca Zitoun; Rob Middag; Sylvia Sander; Alix Laferriere; Huma Saeed; Sharon De Luca; Philip M Ross
Journal:  Sci Rep       Date:  2019-07-02       Impact factor: 4.379

2.  Human Health Activity Recognition Algorithm in Wireless Sensor Networks Based on Metric Learning.

Authors:  Dejie Sun; Jie Zhang; Shuai Zhang; Xin Li; Hangong Wang
Journal:  Comput Intell Neurosci       Date:  2022-04-18
  2 in total

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