Phytoscreening as an efficient tool to delineate chlorinated solvent sources at a chlor-alkali facility.
Identifieur interne : 001261 ( Main/Exploration ); précédent : 001260; suivant : 001262Phytoscreening as an efficient tool to delineate chlorinated solvent sources at a chlor-alkali facility.
Auteurs : Loïc Yung [France] ; Jérôme Lagron [France] ; David Cazaux [France] ; Matt Limmer [États-Unis] ; Michel Chalot [France]Source :
- Chemosphere [ 1879-1298 ] ; 2017.
Descripteurs français
- KwdFr :
- Alcalis (analyse), Arbres (composition chimique), Chromatographie gazeuse-spectrométrie de masse (MeSH), Composés organiques volatils (analyse), Halogénation (MeSH), Microextraction en phase solide (méthodes), Nappe phréatique (analyse), Polluants chimiques de l'eau (analyse), Solvants (composition chimique), Trichloroéthylène (analyse).
- MESH :
- analyse : Alcalis, Composés organiques volatils, Nappe phréatique, Polluants chimiques de l'eau, Trichloroéthylène.
- composition chimique : Arbres, Solvants.
- méthodes : Microextraction en phase solide.
- Chromatographie gazeuse-spectrométrie de masse, Halogénation.
English descriptors
- KwdEn :
- MESH :
- chemical , analysis : Alkalies, Trichloroethylene, Volatile Organic Compounds, Water Pollutants, Chemical.
- analysis : Groundwater.
- chemical , chemistry : Solvents, Trees.
- methods : Solid Phase Microextraction.
- Gas Chromatography-Mass Spectrometry, Halogenation.
Abstract
Chlorinated ethenes (CE) are among the most common volatile organic compounds (VOC) that contaminate groundwater, currently representing a major source of pollution worldwide. Phytoscreening has been developed and employed through different applications at numerous sites, where it was generally useful for detection of subsurface chlorinated solvents. We aimed at delineating subsurface CE contamination at a chlor-alkali facility using tree core data that we compared with soil data. For this investigation a total of 170 trees from experimental zones was sampled and analyzed for perchloroethene (PCE) and trichloroethene (TCE) concentrations, measured by solid phase microextraction gas chromatography coupled to mass spectrometry. Within the panel of tree genera sampled, Quercus and Ulmus appeared to be efficient biomonitors of subjacent TCE and PCE contamination, in addition to the well known and widely used Populus and Salix genera. Among the 28 trees located above the dense non-aqueous phase liquid (DNAPL) phase zone, 19 tree cores contained detectable amounts of CE, with concentrations ranging from 3 to 3000 μg L-1. Our tree core dataset was found to be well related to soil gas sampling results, although the tree coring data were more informative. Our data further emphasized the need for choosing the relevant tree species and sampling periods, as well as taking into consideration the nature of the soil and its heterogeneity. Overall, this low-invasive screening method appeared useful to delineate contaminants at a small-scale site impacted by multiple sources of chlorinated solvents.
DOI: 10.1016/j.chemosphere.2017.01.112
PubMed: 28160680
Affiliations:
- France, États-Unis
- Bourgogne-Franche-Comté, Delaware, Franche-Comté, Grand Est, Lorraine (région)
- Montbéliard, Tavaux, Vandœuvre-lès-Nancy
Links toward previous steps (curation, corpus...)
Le document en format XML
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Electronic address: michel.chalot@univ-fcomte.fr.</nlm:affiliation><country xml:lang="fr">France</country><wicri:regionArea>Laboratoire Chrono-Environnement (UMR 6249), Université de Bourgogne Franche-Comté, Pôle Universitaire du Pays de Montbéliard, 4 place Tharradin, BP 71427, 25211 Montbéliard, France; Université de Lorraine, Faculté des Sciences et Technologies, BP 70239, 54506 Vandoeuvre-les-Nancy</wicri:regionArea><placeName><region type="region" nuts="2">Grand Est</region><region type="old region" nuts="2">Lorraine (région)</region><settlement type="city">Vandœuvre-lès-Nancy</settlement></placeName></affiliation></author></analytic><series><title level="j">Chemosphere</title><idno type="eISSN">1879-1298</idno><imprint><date when="2017" type="published">2017</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Alkalies (analysis)</term><term>Gas Chromatography-Mass Spectrometry (MeSH)</term><term>Groundwater (analysis)</term><term>Halogenation (MeSH)</term><term>Solid Phase Microextraction (methods)</term><term>Solvents (chemistry)</term><term>Trees (chemistry)</term><term>Trichloroethylene (analysis)</term><term>Volatile Organic Compounds (analysis)</term><term>Water Pollutants, Chemical (analysis)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Alcalis (analyse)</term><term>Arbres (composition chimique)</term><term>Chromatographie gazeuse-spectrométrie de masse (MeSH)</term><term>Composés organiques volatils (analyse)</term><term>Halogénation (MeSH)</term><term>Microextraction en phase solide (méthodes)</term><term>Nappe phréatique (analyse)</term><term>Polluants chimiques de l'eau (analyse)</term><term>Solvants (composition chimique)</term><term>Trichloroéthylène (analyse)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="analysis" xml:lang="en"><term>Alkalies</term><term>Trichloroethylene</term><term>Volatile Organic Compounds</term><term>Water Pollutants, Chemical</term></keywords><keywords scheme="MESH" qualifier="analyse" xml:lang="fr"><term>Alcalis</term><term>Composés organiques volatils</term><term>Nappe phréatique</term><term>Polluants chimiques de l'eau</term><term>Trichloroéthylène</term></keywords><keywords scheme="MESH" qualifier="analysis" xml:lang="en"><term>Groundwater</term></keywords><keywords scheme="MESH" type="chemical" qualifier="chemistry" xml:lang="en"><term>Solvents</term><term>Trees</term></keywords><keywords scheme="MESH" qualifier="composition chimique" xml:lang="fr"><term>Arbres</term><term>Solvants</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Solid Phase Microextraction</term></keywords><keywords scheme="MESH" qualifier="méthodes" xml:lang="fr"><term>Microextraction en phase solide</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Gas Chromatography-Mass Spectrometry</term><term>Halogenation</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Chromatographie gazeuse-spectrométrie de masse</term><term>Halogénation</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Chlorinated ethenes (CE) are among the most common volatile organic compounds (VOC) that contaminate groundwater, currently representing a major source of pollution worldwide. Phytoscreening has been developed and employed through different applications at numerous sites, where it was generally useful for detection of subsurface chlorinated solvents. We aimed at delineating subsurface CE contamination at a chlor-alkali facility using tree core data that we compared with soil data. For this investigation a total of 170 trees from experimental zones was sampled and analyzed for perchloroethene (PCE) and trichloroethene (TCE) concentrations, measured by solid phase microextraction gas chromatography coupled to mass spectrometry. Within the panel of tree genera sampled, Quercus and Ulmus appeared to be efficient biomonitors of subjacent TCE and PCE contamination, in addition to the well known and widely used Populus and Salix genera. Among the 28 trees located above the dense non-aqueous phase liquid (DNAPL) phase zone, 19 tree cores contained detectable amounts of CE, with concentrations ranging from 3 to 3000 μg L<sup>-1</sup>. Our tree core dataset was found to be well related to soil gas sampling results, although the tree coring data were more informative. Our data further emphasized the need for choosing the relevant tree species and sampling periods, as well as taking into consideration the nature of the soil and its heterogeneity. Overall, this low-invasive screening method appeared useful to delineate contaminants at a small-scale site impacted by multiple sources of chlorinated solvents.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Curated" Owner="NLM"><PMID Version="1">28160680</PMID><DateCompleted><Year>2017</Year><Month>05</Month><Day>08</Day></DateCompleted><DateRevised><Year>2018</Year><Month>12</Month><Day>02</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1879-1298</ISSN><JournalIssue CitedMedium="Internet"><Volume>174</Volume><PubDate><Year>2017</Year><Month>May</Month></PubDate></JournalIssue><Title>Chemosphere</Title><ISOAbbreviation>Chemosphere</ISOAbbreviation></Journal><ArticleTitle>Phytoscreening as an efficient tool to delineate chlorinated solvent sources at a chlor-alkali facility.</ArticleTitle><Pagination><MedlinePgn>82-89</MedlinePgn></Pagination><ELocationID EIdType="pii" ValidYN="Y">S0045-6535(17)30131-5</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.chemosphere.2017.01.112</ELocationID><Abstract><AbstractText>Chlorinated ethenes (CE) are among the most common volatile organic compounds (VOC) that contaminate groundwater, currently representing a major source of pollution worldwide. Phytoscreening has been developed and employed through different applications at numerous sites, where it was generally useful for detection of subsurface chlorinated solvents. We aimed at delineating subsurface CE contamination at a chlor-alkali facility using tree core data that we compared with soil data. For this investigation a total of 170 trees from experimental zones was sampled and analyzed for perchloroethene (PCE) and trichloroethene (TCE) concentrations, measured by solid phase microextraction gas chromatography coupled to mass spectrometry. Within the panel of tree genera sampled, Quercus and Ulmus appeared to be efficient biomonitors of subjacent TCE and PCE contamination, in addition to the well known and widely used Populus and Salix genera. Among the 28 trees located above the dense non-aqueous phase liquid (DNAPL) phase zone, 19 tree cores contained detectable amounts of CE, with concentrations ranging from 3 to 3000 μg L<sup>-1</sup>. Our tree core dataset was found to be well related to soil gas sampling results, although the tree coring data were more informative. Our data further emphasized the need for choosing the relevant tree species and sampling periods, as well as taking into consideration the nature of the soil and its heterogeneity. Overall, this low-invasive screening method appeared useful to delineate contaminants at a small-scale site impacted by multiple sources of chlorinated solvents.</AbstractText><CopyrightInformation>Copyright © 2017 Elsevier Ltd. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Yung</LastName><ForeName>Loïc</ForeName><Initials>L</Initials><AffiliationInfo><Affiliation>Laboratoire Chrono-Environnement (UMR 6249), Université de Bourgogne Franche-Comté, Pôle Universitaire du Pays de Montbéliard, 4 place Tharradin, BP 71427, 25211 Montbéliard, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Lagron</LastName><ForeName>Jérôme</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>INOVYN France, 39500 Tavaux Cedex, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Cazaux</LastName><ForeName>David</ForeName><Initials>D</Initials><AffiliationInfo><Affiliation>INOVYN France, 39500 Tavaux Cedex, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Limmer</LastName><ForeName>Matt</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>University of Delaware, Department of Plant & Soil Sciences, Newark, DE, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Chalot</LastName><ForeName>Michel</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Laboratoire Chrono-Environnement (UMR 6249), Université de Bourgogne Franche-Comté, Pôle Universitaire du Pays de Montbéliard, 4 place Tharradin, BP 71427, 25211 Montbéliard, France; Université de Lorraine, Faculté des Sciences et Technologies, BP 70239, 54506 Vandoeuvre-les-Nancy, France. Electronic address: michel.chalot@univ-fcomte.fr.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2017</Year><Month>01</Month><Day>25</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Chemosphere</MedlineTA><NlmUniqueID>0320657</NlmUniqueID><ISSNLinking>0045-6535</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D000468">Alkalies</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D012997">Solvents</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D055549">Volatile Organic Compounds</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D014874">Water Pollutants, Chemical</NameOfSubstance></Chemical><Chemical><RegistryNumber>290YE8AR51</RegistryNumber><NameOfSubstance UI="D014241">Trichloroethylene</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000468" MajorTopicYN="N">Alkalies</DescriptorName><QualifierName UI="Q000032" MajorTopicYN="Y">analysis</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008401" MajorTopicYN="N">Gas Chromatography-Mass Spectrometry</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D060587" MajorTopicYN="N">Groundwater</DescriptorName><QualifierName UI="Q000032" MajorTopicYN="Y">analysis</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D054879" MajorTopicYN="N">Halogenation</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D052617" MajorTopicYN="N">Solid Phase Microextraction</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="N">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D012997" MajorTopicYN="N">Solvents</DescriptorName><QualifierName UI="Q000737" MajorTopicYN="N">chemistry</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D014197" MajorTopicYN="N">Trees</DescriptorName><QualifierName UI="Q000737" MajorTopicYN="Y">chemistry</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D014241" MajorTopicYN="N">Trichloroethylene</DescriptorName><QualifierName UI="Q000032" MajorTopicYN="Y">analysis</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D055549" MajorTopicYN="N">Volatile Organic Compounds</DescriptorName><QualifierName UI="Q000032" MajorTopicYN="Y">analysis</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D014874" MajorTopicYN="N">Water Pollutants, Chemical</DescriptorName><QualifierName UI="Q000032" MajorTopicYN="Y">analysis</QualifierName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Chlor-alkali facility</Keyword><Keyword MajorTopicYN="N">Chlorinated solvents</Keyword><Keyword MajorTopicYN="N">Phytoscreening</Keyword><Keyword MajorTopicYN="N">Site characterization</Keyword><Keyword MajorTopicYN="N">Soil and soil gas</Keyword><Keyword MajorTopicYN="N">Tree core</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2016</Year><Month>07</Month><Day>22</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2017</Year><Month>01</Month><Day>19</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2017</Year><Month>01</Month><Day>22</Day></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2017</Year><Month>2</Month><Day>6</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2017</Year><Month>5</Month><Day>10</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2017</Year><Month>2</Month><Day>5</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">28160680</ArticleId><ArticleId IdType="pii">S0045-6535(17)30131-5</ArticleId><ArticleId IdType="doi">10.1016/j.chemosphere.2017.01.112</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>France</li><li>États-Unis</li></country><region><li>Bourgogne-Franche-Comté</li><li>Delaware</li><li>Franche-Comté</li><li>Grand Est</li><li>Lorraine (région)</li></region><settlement><li>Montbéliard</li><li>Tavaux</li><li>Vandœuvre-lès-Nancy</li></settlement></list><tree><country name="France"><region name="Bourgogne-Franche-Comté"><name sortKey="Yung, Loic" sort="Yung, Loic" uniqKey="Yung L" first="Loïc" last="Yung">Loïc Yung</name></region><name sortKey="Cazaux, David" sort="Cazaux, David" uniqKey="Cazaux D" first="David" last="Cazaux">David Cazaux</name><name sortKey="Chalot, Michel" sort="Chalot, Michel" uniqKey="Chalot M" first="Michel" last="Chalot">Michel Chalot</name><name sortKey="Lagron, Jerome" sort="Lagron, Jerome" uniqKey="Lagron J" first="Jérôme" last="Lagron">Jérôme Lagron</name></country><country name="États-Unis"><region name="Delaware"><name sortKey="Limmer, Matt" sort="Limmer, Matt" uniqKey="Limmer M" first="Matt" last="Limmer">Matt Limmer</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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