Sediment pore water distribution coefficients of PCB congeners in enriched black carbon sediment
More than 2300 sediment pore water distribution coefficients (KPCBi ds) of 93 polychlorinated biphenyls (PCBs) were measured and modeled from sediments from Indiana Harbor and Ship Canal. KPCBi ds were calculated from previously reported bulk sediment values and newly analyzed pore water. PCBs in po...
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| Veröffentlicht in: | Environmental pollution (1987) 2013-11, Vol.182, p.357-363 |
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| creator | Martinez, Andres O'Sullivan, Colin Reible, Danny Hornbuckle, Keri C. |
| description | More than 2300 sediment pore water distribution coefficients (KPCBi ds) of 93 polychlorinated biphenyls (PCBs) were measured and modeled from sediments from Indiana Harbor and Ship Canal. KPCBi ds were calculated from previously reported bulk sediment values and newly analyzed pore water. PCBs in pore waters were measured using SPME PDMS-fiber and ∑PCB ranged from 41 to 1500 ng L−1. The resulting KPCBi ds were ∼1 log unit lower in comparison to other reported values. A simple model for the KPCBi d consisted of the product of the organic carbon fraction and the octanol–water partition coefficient and provided an excellent prediction for the measured values, with a mean square error of 0.09 ± 0.06. Although black carbon content is very high in these sediments and was expected to play an important role in the distribution of PCBs, no improvement was obtained when a two-carbon model was used.
•PCB sediment-pore water distribution coefficients were measured and modeled.•Distribution coefficients were lower in comparison to other reported values.•Organic carbon fraction times the KOW yielded the best prediction model.•The incorporation of black carbon into a model did not improve the results.
The organic carbon fraction times the octanol–water partition coefficient yielded the best prediction model for the sediment pore water distribution coefficient of PCBs. |
| doi_str_mv | 10.1016/j.envpol.2013.07.015 |
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| fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3833079</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0269749113003849</els_id><sourcerecordid>1676352447</sourcerecordid><originalsourceid>FETCH-LOGICAL-a639t-2e81b8ad59c14bbd56aacb3f7a5d45415e4541c0b28107be274c48bebff24d513</originalsourceid><addsrcrecordid>eNqNkk1vEzEQhi0EoqHwDxD4gsRlgz_X3gsSRHxJlUAqPRvbO5s6bOxgb4L493iV0MIF9WJLnmfeGc87CD2lZEkJbV9tlhAPuzQuGaF8SdSSUHkPLahWvGkFE_fRgrC2a5To6Bl6VMqGECI45w_RGeOdErSVC_TtEvqwhTjhXcqAf9oJMu5DmXJw-ymkiH2CYQg-VKbgNOAvq7f1La4hQi44RAwxB38NPXaj9d-xt9nVtHLSfYweDHYs8OR0n6Or9---rj42F58_fFq9uWhsy7upYaCp07aXnafCuV621nrHB2VlL6SgEubTE8c0JcoBU8IL7cANAxO9pPwcvT7q7vZuC72vpbMdzS6Hrc2_TLLB_BuJ4dqs08FwzTlRXRV4eRLI6cceymS2oXgYRxsh7YuhrZaaKq3IHVDVcsmEUHdAK6kUE7qi4oj6nErJMNw0T4mZLTcbc7TczJYboky1vKY9-_vjN0l_PK7AixNgi7fjkG30odxySnWadfMEnx-5wSZj17kyV5e1kqx7Q5lo1e2MoRp5CJBNmffCV6sz-Mn0Kfy_198t6Nal</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1663577248</pqid></control><display><type>article</type><title>Sediment pore water distribution coefficients of PCB congeners in enriched black carbon sediment</title><source>MEDLINE</source><source>Elsevier ScienceDirect Journals Complete</source><creator>Martinez, Andres ; O'Sullivan, Colin ; Reible, Danny ; Hornbuckle, Keri C.</creator><creatorcontrib>Martinez, Andres ; O'Sullivan, Colin ; Reible, Danny ; Hornbuckle, Keri C.</creatorcontrib><description>More than 2300 sediment pore water distribution coefficients (KPCBi ds) of 93 polychlorinated biphenyls (PCBs) were measured and modeled from sediments from Indiana Harbor and Ship Canal. KPCBi ds were calculated from previously reported bulk sediment values and newly analyzed pore water. PCBs in pore waters were measured using SPME PDMS-fiber and ∑PCB ranged from 41 to 1500 ng L−1. The resulting KPCBi ds were ∼1 log unit lower in comparison to other reported values. A simple model for the KPCBi d consisted of the product of the organic carbon fraction and the octanol–water partition coefficient and provided an excellent prediction for the measured values, with a mean square error of 0.09 ± 0.06. Although black carbon content is very high in these sediments and was expected to play an important role in the distribution of PCBs, no improvement was obtained when a two-carbon model was used.
•PCB sediment-pore water distribution coefficients were measured and modeled.•Distribution coefficients were lower in comparison to other reported values.•Organic carbon fraction times the KOW yielded the best prediction model.•The incorporation of black carbon into a model did not improve the results.
The organic carbon fraction times the octanol–water partition coefficient yielded the best prediction model for the sediment pore water distribution coefficient of PCBs.</description><identifier>ISSN: 0269-7491</identifier><identifier>EISSN: 1873-6424</identifier><identifier>DOI: 10.1016/j.envpol.2013.07.015</identifier><identifier>PMID: 23974165</identifier><identifier>CODEN: ENVPAF</identifier><language>eng</language><publisher>Kidlington: Elsevier Ltd</publisher><subject>Aliphatic compounds ; analysis ; Applied sciences ; Biological and physicochemical properties of pollutants. Interaction in the soil ; Black carbon ; Carbon ; chemistry ; Earth sciences ; Earth, ocean, space ; Engineering and environment geology. Geothermics ; Enrichment ; Environmental Monitoring ; Exact sciences and technology ; Geologic Sediments ; Geologic Sediments - chemistry ; Indiana ; Mathematical models ; Organic carbon ; PCBs ; Pollution ; Pollution, environment geology ; Polychlorinated biphenyls ; Polychlorinated Biphenyls - analysis ; Porosity ; prediction ; Sediment pore water distribution coefficients ; Sediments ; Soil and sediments pollution ; solid phase microextraction ; Soot ; Soot - chemistry ; statistics & numerical data ; water distribution ; Water engineering ; Water Pollutants, Chemical ; Water Pollutants, Chemical - analysis ; Water pollution ; Water Pollution, Chemical ; Water Pollution, Chemical - statistics & numerical data</subject><ispartof>Environmental pollution (1987), 2013-11, Vol.182, p.357-363</ispartof><rights>2013 Elsevier Ltd</rights><rights>2015 INIST-CNRS</rights><rights>Copyright © 2013 Elsevier Ltd. All rights reserved.</rights><rights>2013 Published by Elsevier Ltd. 2013</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a639t-2e81b8ad59c14bbd56aacb3f7a5d45415e4541c0b28107be274c48bebff24d513</citedby><cites>FETCH-LOGICAL-a639t-2e81b8ad59c14bbd56aacb3f7a5d45415e4541c0b28107be274c48bebff24d513</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0269749113003849$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>230,314,776,780,881,3537,27901,27902,65534</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=27798291$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23974165$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Martinez, Andres</creatorcontrib><creatorcontrib>O'Sullivan, Colin</creatorcontrib><creatorcontrib>Reible, Danny</creatorcontrib><creatorcontrib>Hornbuckle, Keri C.</creatorcontrib><title>Sediment pore water distribution coefficients of PCB congeners in enriched black carbon sediment</title><title>Environmental pollution (1987)</title><addtitle>Environ Pollut</addtitle><description>More than 2300 sediment pore water distribution coefficients (KPCBi ds) of 93 polychlorinated biphenyls (PCBs) were measured and modeled from sediments from Indiana Harbor and Ship Canal. KPCBi ds were calculated from previously reported bulk sediment values and newly analyzed pore water. PCBs in pore waters were measured using SPME PDMS-fiber and ∑PCB ranged from 41 to 1500 ng L−1. The resulting KPCBi ds were ∼1 log unit lower in comparison to other reported values. A simple model for the KPCBi d consisted of the product of the organic carbon fraction and the octanol–water partition coefficient and provided an excellent prediction for the measured values, with a mean square error of 0.09 ± 0.06. Although black carbon content is very high in these sediments and was expected to play an important role in the distribution of PCBs, no improvement was obtained when a two-carbon model was used.
•PCB sediment-pore water distribution coefficients were measured and modeled.•Distribution coefficients were lower in comparison to other reported values.•Organic carbon fraction times the KOW yielded the best prediction model.•The incorporation of black carbon into a model did not improve the results.
The organic carbon fraction times the octanol–water partition coefficient yielded the best prediction model for the sediment pore water distribution coefficient of PCBs.</description><subject>Aliphatic compounds</subject><subject>analysis</subject><subject>Applied sciences</subject><subject>Biological and physicochemical properties of pollutants. Interaction in the soil</subject><subject>Black carbon</subject><subject>Carbon</subject><subject>chemistry</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Engineering and environment geology. Geothermics</subject><subject>Enrichment</subject><subject>Environmental Monitoring</subject><subject>Exact sciences and technology</subject><subject>Geologic Sediments</subject><subject>Geologic Sediments - chemistry</subject><subject>Indiana</subject><subject>Mathematical models</subject><subject>Organic carbon</subject><subject>PCBs</subject><subject>Pollution</subject><subject>Pollution, environment geology</subject><subject>Polychlorinated biphenyls</subject><subject>Polychlorinated Biphenyls - analysis</subject><subject>Porosity</subject><subject>prediction</subject><subject>Sediment pore water distribution coefficients</subject><subject>Sediments</subject><subject>Soil and sediments pollution</subject><subject>solid phase microextraction</subject><subject>Soot</subject><subject>Soot - chemistry</subject><subject>statistics & numerical data</subject><subject>water distribution</subject><subject>Water engineering</subject><subject>Water Pollutants, Chemical</subject><subject>Water Pollutants, Chemical - analysis</subject><subject>Water pollution</subject><subject>Water Pollution, Chemical</subject><subject>Water Pollution, Chemical - statistics & numerical data</subject><issn>0269-7491</issn><issn>1873-6424</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkk1vEzEQhi0EoqHwDxD4gsRlgz_X3gsSRHxJlUAqPRvbO5s6bOxgb4L493iV0MIF9WJLnmfeGc87CD2lZEkJbV9tlhAPuzQuGaF8SdSSUHkPLahWvGkFE_fRgrC2a5To6Bl6VMqGECI45w_RGeOdErSVC_TtEvqwhTjhXcqAf9oJMu5DmXJw-ymkiH2CYQg-VKbgNOAvq7f1La4hQi44RAwxB38NPXaj9d-xt9nVtHLSfYweDHYs8OR0n6Or9---rj42F58_fFq9uWhsy7upYaCp07aXnafCuV621nrHB2VlL6SgEubTE8c0JcoBU8IL7cANAxO9pPwcvT7q7vZuC72vpbMdzS6Hrc2_TLLB_BuJ4dqs08FwzTlRXRV4eRLI6cceymS2oXgYRxsh7YuhrZaaKq3IHVDVcsmEUHdAK6kUE7qi4oj6nErJMNw0T4mZLTcbc7TczJYboky1vKY9-_vjN0l_PK7AixNgi7fjkG30odxySnWadfMEnx-5wSZj17kyV5e1kqx7Q5lo1e2MoRp5CJBNmffCV6sz-Mn0Kfy_198t6Nal</recordid><startdate>20131101</startdate><enddate>20131101</enddate><creator>Martinez, Andres</creator><creator>O'Sullivan, Colin</creator><creator>Reible, Danny</creator><creator>Hornbuckle, Keri C.</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>FBQ</scope><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7S9</scope><scope>L.6</scope><scope>7QH</scope><scope>7ST</scope><scope>7TV</scope><scope>7U7</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H97</scope><scope>L.G</scope><scope>SOI</scope><scope>7SC</scope><scope>7SU</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>5PM</scope></search><sort><creationdate>20131101</creationdate><title>Sediment pore water distribution coefficients of PCB congeners in enriched black carbon sediment</title><author>Martinez, Andres ; O'Sullivan, Colin ; Reible, Danny ; Hornbuckle, Keri C.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a639t-2e81b8ad59c14bbd56aacb3f7a5d45415e4541c0b28107be274c48bebff24d513</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Aliphatic compounds</topic><topic>analysis</topic><topic>Applied sciences</topic><topic>Biological and physicochemical properties of pollutants. Interaction in the soil</topic><topic>Black carbon</topic><topic>Carbon</topic><topic>chemistry</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Engineering and environment geology. Geothermics</topic><topic>Enrichment</topic><topic>Environmental Monitoring</topic><topic>Exact sciences and technology</topic><topic>Geologic Sediments</topic><topic>Geologic Sediments - chemistry</topic><topic>Indiana</topic><topic>Mathematical models</topic><topic>Organic carbon</topic><topic>PCBs</topic><topic>Pollution</topic><topic>Pollution, environment geology</topic><topic>Polychlorinated biphenyls</topic><topic>Polychlorinated Biphenyls - analysis</topic><topic>Porosity</topic><topic>prediction</topic><topic>Sediment pore water distribution coefficients</topic><topic>Sediments</topic><topic>Soil and sediments pollution</topic><topic>solid phase microextraction</topic><topic>Soot</topic><topic>Soot - chemistry</topic><topic>statistics & numerical data</topic><topic>water distribution</topic><topic>Water engineering</topic><topic>Water Pollutants, Chemical</topic><topic>Water Pollutants, Chemical - analysis</topic><topic>Water pollution</topic><topic>Water Pollution, Chemical</topic><topic>Water Pollution, Chemical - statistics & numerical data</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Martinez, Andres</creatorcontrib><creatorcontrib>O'Sullivan, Colin</creatorcontrib><creatorcontrib>Reible, Danny</creatorcontrib><creatorcontrib>Hornbuckle, Keri C.</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><collection>Aqualine</collection><collection>Environment Abstracts</collection><collection>Pollution Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Environment Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Environmental Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Environmental pollution (1987)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Martinez, Andres</au><au>O'Sullivan, Colin</au><au>Reible, Danny</au><au>Hornbuckle, Keri C.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Sediment pore water distribution coefficients of PCB congeners in enriched black carbon sediment</atitle><jtitle>Environmental pollution (1987)</jtitle><addtitle>Environ Pollut</addtitle><date>2013-11-01</date><risdate>2013</risdate><volume>182</volume><spage>357</spage><epage>363</epage><pages>357-363</pages><issn>0269-7491</issn><eissn>1873-6424</eissn><coden>ENVPAF</coden><abstract>More than 2300 sediment pore water distribution coefficients (KPCBi ds) of 93 polychlorinated biphenyls (PCBs) were measured and modeled from sediments from Indiana Harbor and Ship Canal. KPCBi ds were calculated from previously reported bulk sediment values and newly analyzed pore water. PCBs in pore waters were measured using SPME PDMS-fiber and ∑PCB ranged from 41 to 1500 ng L−1. The resulting KPCBi ds were ∼1 log unit lower in comparison to other reported values. A simple model for the KPCBi d consisted of the product of the organic carbon fraction and the octanol–water partition coefficient and provided an excellent prediction for the measured values, with a mean square error of 0.09 ± 0.06. Although black carbon content is very high in these sediments and was expected to play an important role in the distribution of PCBs, no improvement was obtained when a two-carbon model was used.
•PCB sediment-pore water distribution coefficients were measured and modeled.•Distribution coefficients were lower in comparison to other reported values.•Organic carbon fraction times the KOW yielded the best prediction model.•The incorporation of black carbon into a model did not improve the results.
The organic carbon fraction times the octanol–water partition coefficient yielded the best prediction model for the sediment pore water distribution coefficient of PCBs.</abstract><cop>Kidlington</cop><pub>Elsevier Ltd</pub><pmid>23974165</pmid><doi>10.1016/j.envpol.2013.07.015</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record> |
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| subjects | Aliphatic compounds analysis Applied sciences Biological and physicochemical properties of pollutants. Interaction in the soil Black carbon Carbon chemistry Earth sciences Earth, ocean, space Engineering and environment geology. Geothermics Enrichment Environmental Monitoring Exact sciences and technology Geologic Sediments Geologic Sediments - chemistry Indiana Mathematical models Organic carbon PCBs Pollution Pollution, environment geology Polychlorinated biphenyls Polychlorinated Biphenyls - analysis Porosity prediction Sediment pore water distribution coefficients Sediments Soil and sediments pollution solid phase microextraction Soot Soot - chemistry statistics & numerical data water distribution Water engineering Water Pollutants, Chemical Water Pollutants, Chemical - analysis Water pollution Water Pollution, Chemical Water Pollution, Chemical - statistics & numerical data |
| title | Sediment pore water distribution coefficients of PCB congeners in enriched black carbon sediment |
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