Testing Copper-Speciation Predictions in Freshwaters over a Wide Range of Metal–Organic Matter Ratios

The harsh chemical conditions involved in the isolation of fulvic acids (FA) and humic acids (HA) have been identified as a possible contributing factor to the significant mismatch between in situ measurements and model predictions of trace metal speciation in freshwaters, resulting from the use of...

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Veröffentlicht in:Environmental science & technology 2013-02, Vol.47 (3), p.1487-1495
Hauptverfasser: Ahmed, Imad A.M, Hamilton−Taylor, John, Lofts, Stephen, Meeussen, Johannes C. L, Lin, Chun, Zhang, Hao, Davison, William
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container_end_page 1495
container_issue 3
container_start_page 1487
container_title Environmental science & technology
container_volume 47
creator Ahmed, Imad A.M
Hamilton−Taylor, John
Lofts, Stephen
Meeussen, Johannes C. L
Lin, Chun
Zhang, Hao
Davison, William
description The harsh chemical conditions involved in the isolation of fulvic acids (FA) and humic acids (HA) have been identified as a possible contributing factor to the significant mismatch between in situ measurements and model predictions of trace metal speciation in freshwaters, resulting from the use of isolated FA and HA in model calibration. A set of experimental assays were developed to enable Cu binding to DOM to be measured over the full range of [Cu]/[DOC] ratios (∼1–460 μmol g–1) observed in surface freshwaters. They were applied to the widely used and traditionally isolated Suwannee River HA and FA and to DOM isolated from headwater streams by a mild procedure using minimal chemical treatment. Good agreement was observed between measured free ion activities and those predicted using both WHAM/Model VII and NICA–Donnan speciation models for both traditionally and mildly isolated DOM. Agreement to within a factor of 2 for WHAM/Model VII contrasts with 100-fold differences previously reported between in situ Cu2+ measurements and model predictions for a wide range of conditions. The results demonstrate that (a) existing speciation models are capable of accurately predicting Cu-humic binding in natural waters at environmentally realistic [Cu]/[DOC] ratios, under equilibrium conditions, and (b) that the isolation procedures traditionally used for HA and FA do not appreciably affect their binding characteristics.
doi_str_mv 10.1021/es304150n
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Good agreement was observed between measured free ion activities and those predicted using both WHAM/Model VII and NICA–Donnan speciation models for both traditionally and mildly isolated DOM. Agreement to within a factor of 2 for WHAM/Model VII contrasts with 100-fold differences previously reported between in situ Cu2+ measurements and model predictions for a wide range of conditions. The results demonstrate that (a) existing speciation models are capable of accurately predicting Cu-humic binding in natural waters at environmentally realistic [Cu]/[DOC] ratios, under equilibrium conditions, and (b) that the isolation procedures traditionally used for HA and FA do not appreciably affect their binding characteristics.</description><identifier>ISSN: 0013-936X</identifier><identifier>EISSN: 1520-5851</identifier><identifier>DOI: 10.1021/es304150n</identifier><identifier>PMID: 23286231</identifier><identifier>CODEN: ESTHAG</identifier><language>eng</language><publisher>Washington, DC: American Chemical Society</publisher><subject>Acids ; Applied sciences ; Benzopyrans - analysis ; Biological and physicochemical phenomena ; Calibration ; Copper ; Copper - analysis ; Earth sciences ; Earth, ocean, space ; Engineering and environment geology. Geothermics ; England ; Environment ; Exact sciences and technology ; Fresh Water - chemistry ; Freshwater ecology ; Heavy metals ; Humic Substances - analysis ; Natural water pollution ; Organic Chemicals - analysis ; Organic Chemicals - isolation &amp; purification ; Pollution ; Pollution, environment geology ; Solubility ; Solutions ; Water Pollutants, Chemical - analysis ; Water Pollution - analysis ; Water treatment and pollution</subject><ispartof>Environmental science &amp; technology, 2013-02, Vol.47 (3), p.1487-1495</ispartof><rights>Copyright © 2013 American Chemical Society</rights><rights>2014 INIST-CNRS</rights><rights>Copyright American Chemical Society Feb 5, 2013</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a408t-3eba2368b1b2f8f8814206a8c1e0f181ad7f4b6307a1702a61dac38d80e2a2cb3</citedby><cites>FETCH-LOGICAL-a408t-3eba2368b1b2f8f8814206a8c1e0f181ad7f4b6307a1702a61dac38d80e2a2cb3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://pubs.acs.org/doi/pdf/10.1021/es304150n$$EPDF$$P50$$Gacs$$H</linktopdf><linktohtml>$$Uhttps://pubs.acs.org/doi/10.1021/es304150n$$EHTML$$P50$$Gacs$$H</linktohtml><link.rule.ids>314,780,784,2765,27076,27924,27925,56738,56788</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&amp;idt=27135466$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23286231$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ahmed, Imad A.M</creatorcontrib><creatorcontrib>Hamilton−Taylor, John</creatorcontrib><creatorcontrib>Lofts, Stephen</creatorcontrib><creatorcontrib>Meeussen, Johannes C. 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subjects Acids
Applied sciences
Benzopyrans - analysis
Biological and physicochemical phenomena
Calibration
Copper
Copper - analysis
Earth sciences
Earth, ocean, space
Engineering and environment geology. Geothermics
England
Environment
Exact sciences and technology
Fresh Water - chemistry
Freshwater ecology
Heavy metals
Humic Substances - analysis
Natural water pollution
Organic Chemicals - analysis
Organic Chemicals - isolation & purification
Pollution
Pollution, environment geology
Solubility
Solutions
Water Pollutants, Chemical - analysis
Water Pollution - analysis
Water treatment and pollution
title Testing Copper-Speciation Predictions in Freshwaters over a Wide Range of Metal–Organic Matter Ratios
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