4.7 Article

Development and evaluation of the diffusive gradients in thin films technique for measuring nitrate in freshwaters

Journal

ANALYTICA CHIMICA ACTA
Volume 923, Issue -, Pages 74-81

Publisher

ELSEVIER SCIENCE BV
DOI: 10.1016/j.aca.2016.04.006

Keywords

Diffusive gradients in thin films; Passive sampler; Nitrogen; Diffusive boundary layer; Variability; Freshwater streams

Funding

  1. School of Environment, Griffith University

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A new diffusive gradients in thin films (DGT) technique, using Purolite A520E anion exchange resin, was developed and evaluated for the measurement of NO3-N in freshwaters. Purolite A520E had a very high uptake efficiency (>98%) and elution efficiency (82.7% with 2 mol L-1 NaCl as eluent) for NO3-N. The 24 h mass vs. time validation experiments had excellent linearity (R-2 >= 0.997) and the intrinsic capacity of the binding layer for NO3-N was 849 +/- 24 mu g. NO3-N uptake was quantitative over a pH (3.5-8.5) range typical of most natural freshwaters. Several anions competed with NO3-N to produce a lower effective binding capacity for NO3-N in the following order of selectivity, Cl- > HCO3- > SO42- > H2PO4-, although NO3-N measurements were quantitative at ionic strengths 0.0001-0.008 mol L-1 as NaCl. NO2-N did not adversely affect determination of NO3-N at typical concentrations. Field deployments of DGT samplers with varying diffusive layer thicknesses validated the use of the technique in situ, allowed calculation of the diffusive boundary layer and accurate measurement of NO3-N (C-DGT/C-SOLN 1.03-1.04). Reproducibility of the technique during field deployments was good (relative standard deviation < 3.2%). Limits of detection of A520E-DGT for NO3-N were 13.15 mu g L-1 and 7.52 mu g L-1 (equivalent to 0.94 and 0.54 mu mol L-1) based on 24 h and 48 h deployments, respectively. A520E-DGT determined NO3-N concentrations during field deployments were very similar to the average values obtained from 0.45 mu m filtered grab samples, which confirmed that the new DGT technique produced highly representative results. (C) 2016 Elsevier B.V. All rights reserved.

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