Comparative study of dissolved copper speciation using DGT and CLE-AdSV in a contaminated urban river estuary and marina

A comprehensive study was conducted in a river estuary and marina in Auckland, New Zealand, to examine the in-situ speciation of copper (Cu) complexes across freshwater, estuarine, and marine environments using the diffusive gradient in thin films (DGT) technique. The study employed both open-pore (OP) and restrictive-pore (RP) diffusive gels of varying thicknesses to assess the effectiveness of DGT hydrogels and the role of the apparent diffusive boundary layer (ADBL) in determining the lability of Cu complexes in natural waters. The DGT findings were compared with results from competing ligand exchange–adsorptive stripping voltammetry (CLE-AdSV) and a speciation prediction model (WHAM/Model-VII). The study highlighted the critical importance of accounting for the ADBL, as its exclusion led to an average underestimation of Cu-complex lability by approximately 50 %. Given the minimal difference in outcomes between DGT-OP and DGT-RP, the use of standard DGT-OP is recommended. Further analysis revealed a strong correlation between DGT-labile Cu (CuDGT-lab), the weaker Cu-L 2 complexes detected by CLE-AdSV, and the inorganic Cu species predicted by WHAM/Model-VII, the latter two based on discrete samples. A strong relationship was also noted between Cu DGT-lab and the inorganic Cu measured by CLE-AdSV. The study provided compelling evidence that the in-situ ligand pool consists of a mixture of terrestrial humic substances and marine-derived organic ligands. These marine ligands form highly stable Cu-L 1 complexes along the salinity gradient, which were mostly DGT-inert. The DGT results indicated that the lability of in-situ Cu complexes decreased with increasing salinity, with over 60 % of Cu in freshwater being DGT-labile. Overall, the study demonstrates that the DGT technique is a robust and straightforward method for environmental monitoring and risk assessment across diverse physico-chemical water conditions. • DGT technique is effective to quantify labile Cu in diverse water conditions. • Lability of Cu complexes decreases as salinity increases. • Standard open pore DGT recommended due to minimal variance with restricted pore DGT. • Good correlation between DGT, CLE-AdSV and speciation modelling (WHAM) for labile/weak/inorganic Cu-complexes. • Non-labile, strong Cu complexes determine the bioavailability of Cu and should be considered for water quality thresholds.

Authors

Publication Details

Journal
Marine Chemistry
Published
2025-02-20
DOI
https://doi.org/10.1016/j.marchem.2025.104500
Citations
2
Primary Topic
Mercury impact and mitigation studies
Type
article
Field-Weighted Citation Impact
2.40

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparative study of dissolved copper speciation using DGT and CLE-AdSV in a contaminated urban river estuary and marina

Rebecca Zitoun, Sylvia G. Sander, Jonathan P. Kim, Barry A. Benedict
2 citations
Marine Chemistry
Mercury impact and mitigation studies
2.40
article

Comparative study of dissolved copper speciation using DGT and CLE-AdSV in a contaminated urban river estuary and marina

Rebecca Zitoun, Sylvia G. Sander, Jonathan P. Kim, Barry A. Benedict
article en
2 citations

Abstract

A comprehensive study was conducted in a river estuary and marina in Auckland, New Zealand, to examine the in-situ speciation of copper (Cu) complexes across freshwater, estuarine, and marine environments using the diffusive gradient in thin films (DGT) technique. The study employed both open-pore (OP) and restrictive-pore (RP) diffusive gels of varying thicknesses to assess the effectiveness of DGT hydrogels and the role of the apparent diffusive boundary layer (ADBL) in determining the lability of Cu complexes in natural waters. The DGT findings were compared with results from competing ligand exchange–adsorptive stripping voltammetry (CLE-AdSV) and a speciation prediction model (WHAM/Model-VII). The study highlighted the critical importance of accounting for the ADBL, as its exclusion led to an average underestimation of Cu-complex lability by approximately 50 %. Given the minimal difference in outcomes between DGT-OP and DGT-RP, the use of standard DGT-OP is recommended. Further analysis revealed a strong correlation between DGT-labile Cu (CuDGT-lab), the weaker Cu-L 2 complexes detected by CLE-AdSV, and the inorganic Cu species predicted by WHAM/Model-VII, the latter two based on discrete samples. A strong relationship was also noted between Cu DGT-lab and the inorganic Cu measured by CLE-AdSV. The study provided compelling evidence that the in-situ ligand pool consists of a mixture of terrestrial humic substances and marine-derived organic ligands. These marine ligands form highly stable Cu-L 1 complexes along the salinity gradient, which were mostly DGT-inert. The DGT results indicated that the lability of in-situ Cu complexes decreased with increasing salinity, with over 60 % of Cu in freshwater being DGT-labile. Overall, the study demonstrates that the DGT technique is a robust and straightforward method for environmental monitoring and risk assessment across diverse physico-chemical water conditions. • DGT technique is effective to quantify labile Cu in diverse water conditions. • Lability of Cu complexes decreases as salinity increases. • Standard open pore DGT recommended due to minimal variance with restricted pore DGT. • Good correlation between DGT, CLE-AdSV and speciation modelling (WHAM) for labile/weak/inorganic Cu-complexes. • Non-labile, strong Cu complexes determine the bioavailability of Cu and should be considered for water quality thresholds.

Marine ChemistryVol. 270
University of Otago, National Institute of Water and Atmospheric Research, Auckland Council, Ministry of Business, Innovation and Employment, Ministry for Business Innovation and Employment, Institut Ruđer Bošković
Life below water
Openalex Percentile: Top 14%
Mercury impact and mitigation studies
2.40
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.