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dc.contributor.authorTcaciuc, Alexandra Patricia
dc.contributor.authorNelson, Robert Gregory
dc.contributor.authorReddy, Christopher M.
dc.contributor.authorGschwend, Philip M.
dc.date.accessioned2013-05-17T19:28:54Z
dc.date.available2013-05-17T19:28:54Z
dc.date.issued2012-03
dc.date.submitted2012-02
dc.identifier.issn0013-936X
dc.identifier.issn1520-5851
dc.identifier.urihttp://hdl.handle.net/1721.1/78926
dc.description.abstractRecent studies have shown that membrane–water partition coefficients of organic chemicals can be used to predict bioaccumulation and type I narcosis toxicity more accurately than the traditional K[subscript OW]-based approach. In this paper, we demonstrate how comprehensive two-dimensional gas chromatography (GC × GC) can be used to estimate such membrane–water partition coefficients (K[subscript PLW]s), focusing in particular on phosphatidyl choline based lipids. This method performed well for a set of 38 compounds, including polycyclic aromatic hydrocarbons, polychlorinated benzenes and biphenyls, and substituted benzenes including some phenols and anilines. The average difference between the estimated and the measured log K[subscript PLW] values of 0.47 log units is smaller than in the case of a log K[subscript OW] correlation approach but larger than seen using a polyparameter linear free energy relationship based approach. However, the GC × GC based method presents the advantage that it can be applied to mixtures of chemicals that are not completely identified, such as petroleum hydrocarbon mixtures. At the same time, our application of the GC × GC method suffered larger errors when applied to certain hydrogen bonding compounds due to the inability of the GC × GC capillary columns phases that we used to interact with analytes via hydrogen bond donation/electron acceptance.en_US
dc.description.sponsorshipMassachusetts Institute of Technology. Sea Grant College Program (NOAA Grant NA06OAR4170019)en_US
dc.description.sponsorshipMassachusetts Institute of Technology. Sea Grant College Program (Project 2008-R/RC-109)en_US
dc.description.sponsorshipCooperative Institute for Coastal and Estuarine Environmental Technology (Award 015553-001)en_US
dc.language.isoen_US
dc.publisherAmerican Chemical Society (ACS)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1021/es203792een_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceProf. Gschwend via Anne Grahamen_US
dc.titleEstimating Phospholipid Membrane Water Partition Coefficients Using Comprehensive Two-Dimensional Gas Chromatographyen_US
dc.typeArticleen_US
dc.identifier.citationTcaciuc, A. Patricia, Robert K. Nelson, Christopher M. Reddy, and Philip M. Gschwend. Estimating Phospholipid Membrane–Water Partition Coefficients Using Comprehensive Two-Dimensional Gas Chromatography. Environmental Science & Technology 46(6): 3449–3456, 2012.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineeringen_US
dc.contributor.departmentSloan School of Managementen_US
dc.contributor.approverGschwend, Philip
dc.contributor.mitauthorTcaciuc, Alexandra Patricia
dc.contributor.mitauthorNelson, Robert Gregory
dc.contributor.mitauthorGschwend, Philip M.
dc.relation.journalEnvironmental Science and Technologyen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsTcaciuc, A. Patricia; Nelson, Robert K.; Reddy, Christopher M.; Gschwend, Philip M.en
dc.identifier.orcidhttps://orcid.org/0000-0002-9497-4492
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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