Non-dioxin-like PCBs in ten different fish species from the Danube river in Serbia.
Identifieur interne : 000364 ( Ncbi/Merge ); précédent : 000363; suivant : 000365Non-dioxin-like PCBs in ten different fish species from the Danube river in Serbia.
Auteurs : Saša Jankovi [Serbie] ; Marijana Cur I ; Tatjana Radi Evi ; Sr An Stefanovi ; Mirjana Lenhardt ; Ksenija Durgo ; Biljana AntonijeviSource :
- Environmental monitoring and assessment [ 1573-2959 ] ; 2011.
Descripteurs français
- Wicri :
- geographic : Serbie.
English descriptors
- KwdEn :
- MESH :
- chemical , analysis : Polychlorinated Biphenyls, Water Pollutants, Chemical.
- chemical , metabolism : Water Pollutants, Chemical.
- geographic : Serbia.
- chemistry : Rivers.
- metabolism : Fishes, Polychlorinated Biphenyls.
- statistics & numerical data : Water Pollution, Chemical.
- Animals, Environmental Monitoring.
Abstract
This work has been developed to examine the level of non-dioxin-like (ndl) PCBs (28, 52, 101, 138, 153 and 180) in (a) ten different freshwater fish species from the Danube river, (b) two sampling points: up and downstream of the industrial zone of the city of Pancevo (ecological hot spot in Serbia) and (c) two time points i.e., in 2001 and 2006. Obtained results would serve to analyse spatial, temporal and congener profile characteristics of ndl PCBs cumulated in fish tissues due to environmental pollution. Sixty-four samples of the following species were collected: wels (Silirus glanus), pike (Esox lucius), bream (Abramis brama), crucian carp (Carassius carassius), pike pearch (Stizostedion lucioperca), barbel (Barbus barbus), tench (Tinca tinca), sterlet (Acipenser ruthenus L.), common carp (Cyprinus carpio) and bighead carp (Hypophthalmichthys nobilis). Gas chromatography coupled with electron capture detector was used for analysis of ndl PCBs. Total ndl PCBs content in upstream samples ranged from 2.7 to 98.1 ng/g and from 4.9 to 68.3 ng/g in 2001 and 2006, respectively. During the 5 years, ndl PCBs content increased significantly in downstream samples i.e., ndl PCBs varied from 13.7 to 46.1 ng/g and from 14.4 to 107.2 ng/g in 2001 and 2006, respectively. PCBs 138 and 180 were predominant congeners in 2001, while in 2006 the most abundant PCB congeners were 138 and 153. In 2006, the presence of PCB 28 and PCB 52 has indicated a recent contamination event. Data on continual monitoring of PCBs in all relevant environmental compartments together with appropriate biomonitoring data are expected to give comprehensive insight into the fate and behaviour profile of these contaminants.
DOI: 10.1007/s10661-010-1820-x
PubMed: 21161586
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first="Sr An" last="Stefanovi">Sr An Stefanovi</name></author><author><name sortKey="Lenhardt, Mirjana" sort="Lenhardt, Mirjana" uniqKey="Lenhardt M" first="Mirjana" last="Lenhardt">Mirjana Lenhardt</name></author><author><name sortKey="Durgo, Ksenija" sort="Durgo, Ksenija" uniqKey="Durgo K" first="Ksenija" last="Durgo">Ksenija Durgo</name></author><author><name sortKey="Antonijevi, Biljana" sort="Antonijevi, Biljana" uniqKey="Antonijevi B" first="Biljana" last="Antonijevi">Biljana Antonijevi</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2011">2011</date><idno type="RBID">pubmed:21161586</idno><idno type="pmid">21161586</idno><idno type="doi">10.1007/s10661-010-1820-x</idno><idno type="wicri:Area/PubMed/Corpus">000342</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000342</idno><idno type="wicri:Area/PubMed/Curation">000342</idno><idno type="wicri:explorRef" wicri:stream="PubMed" 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I</name></author><author><name sortKey="Radi Evi, Tatjana" sort="Radi Evi, Tatjana" uniqKey="Radi Evi T" first="Tatjana" last="Radi Evi">Tatjana Radi Evi</name></author><author><name sortKey="Stefanovi, Sr An" sort="Stefanovi, Sr An" uniqKey="Stefanovi S" first="Sr An" last="Stefanovi">Sr An Stefanovi</name></author><author><name sortKey="Lenhardt, Mirjana" sort="Lenhardt, Mirjana" uniqKey="Lenhardt M" first="Mirjana" last="Lenhardt">Mirjana Lenhardt</name></author><author><name sortKey="Durgo, Ksenija" sort="Durgo, Ksenija" uniqKey="Durgo K" first="Ksenija" last="Durgo">Ksenija Durgo</name></author><author><name sortKey="Antonijevi, Biljana" sort="Antonijevi, Biljana" uniqKey="Antonijevi B" first="Biljana" last="Antonijevi">Biljana Antonijevi</name></author></analytic><series><title level="j">Environmental monitoring and assessment</title><idno type="eISSN">1573-2959</idno><imprint><date when="2011" type="published">2011</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Animals</term><term>Environmental Monitoring</term><term>Fishes (metabolism)</term><term>Polychlorinated Biphenyls (analysis)</term><term>Polychlorinated Biphenyls (metabolism)</term><term>Rivers (chemistry)</term><term>Serbia</term><term>Water Pollutants, Chemical (analysis)</term><term>Water Pollutants, Chemical (metabolism)</term><term>Water Pollution, Chemical (statistics & numerical data)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="analysis" xml:lang="en"><term>Polychlorinated Biphenyls</term><term>Water Pollutants, Chemical</term></keywords><keywords scheme="MESH" type="chemical" qualifier="metabolism" xml:lang="en"><term>Water Pollutants, Chemical</term></keywords><keywords scheme="MESH" type="geographic" xml:lang="en"><term>Serbia</term></keywords><keywords scheme="MESH" qualifier="chemistry" xml:lang="en"><term>Rivers</term></keywords><keywords scheme="MESH" qualifier="metabolism" xml:lang="en"><term>Fishes</term><term>Polychlorinated Biphenyls</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Water Pollution, Chemical</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Animals</term><term>Environmental Monitoring</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Serbie</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">This work has been developed to examine the level of non-dioxin-like (ndl) PCBs (28, 52, 101, 138, 153 and 180) in (a) ten different freshwater fish species from the Danube river, (b) two sampling points: up and downstream of the industrial zone of the city of Pancevo (ecological hot spot in Serbia) and (c) two time points i.e., in 2001 and 2006. Obtained results would serve to analyse spatial, temporal and congener profile characteristics of ndl PCBs cumulated in fish tissues due to environmental pollution. Sixty-four samples of the following species were collected: wels (Silirus glanus), pike (Esox lucius), bream (Abramis brama), crucian carp (Carassius carassius), pike pearch (Stizostedion lucioperca), barbel (Barbus barbus), tench (Tinca tinca), sterlet (Acipenser ruthenus L.), common carp (Cyprinus carpio) and bighead carp (Hypophthalmichthys nobilis). Gas chromatography coupled with electron capture detector was used for analysis of ndl PCBs. Total ndl PCBs content in upstream samples ranged from 2.7 to 98.1 ng/g and from 4.9 to 68.3 ng/g in 2001 and 2006, respectively. During the 5 years, ndl PCBs content increased significantly in downstream samples i.e., ndl PCBs varied from 13.7 to 46.1 ng/g and from 14.4 to 107.2 ng/g in 2001 and 2006, respectively. PCBs 138 and 180 were predominant congeners in 2001, while in 2006 the most abundant PCB congeners were 138 and 153. In 2006, the presence of PCB 28 and PCB 52 has indicated a recent contamination event. Data on continual monitoring of PCBs in all relevant environmental compartments together with appropriate biomonitoring data are expected to give comprehensive insight into the fate and behaviour profile of these contaminants.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">21161586</PMID><DateCreated><Year>2011</Year><Month>08</Month><Day>25</Day></DateCreated><DateCompleted><Year>2012</Year><Month>11</Month><Day>07</Day></DateCompleted><DateRevised><Year>2013</Year><Month>11</Month><Day>21</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1573-2959</ISSN><JournalIssue CitedMedium="Internet"><Volume>181</Volume><Issue>1-4</Issue><PubDate><Year>2011</Year><Month>Oct</Month></PubDate></JournalIssue><Title>Environmental monitoring and assessment</Title><ISOAbbreviation>Environ Monit Assess</ISOAbbreviation></Journal><ArticleTitle>Non-dioxin-like PCBs in ten different fish species from the Danube river in Serbia.</ArticleTitle><Pagination><MedlinePgn>153-63</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1007/s10661-010-1820-x</ELocationID><Abstract><AbstractText>This work has been developed to examine the level of non-dioxin-like (ndl) PCBs (28, 52, 101, 138, 153 and 180) in (a) ten different freshwater fish species from the Danube river, (b) two sampling points: up and downstream of the industrial zone of the city of Pancevo (ecological hot spot in Serbia) and (c) two time points i.e., in 2001 and 2006. Obtained results would serve to analyse spatial, temporal and congener profile characteristics of ndl PCBs cumulated in fish tissues due to environmental pollution. Sixty-four samples of the following species were collected: wels (Silirus glanus), pike (Esox lucius), bream (Abramis brama), crucian carp (Carassius carassius), pike pearch (Stizostedion lucioperca), barbel (Barbus barbus), tench (Tinca tinca), sterlet (Acipenser ruthenus L.), common carp (Cyprinus carpio) and bighead carp (Hypophthalmichthys nobilis). Gas chromatography coupled with electron capture detector was used for analysis of ndl PCBs. Total ndl PCBs content in upstream samples ranged from 2.7 to 98.1 ng/g and from 4.9 to 68.3 ng/g in 2001 and 2006, respectively. During the 5 years, ndl PCBs content increased significantly in downstream samples i.e., ndl PCBs varied from 13.7 to 46.1 ng/g and from 14.4 to 107.2 ng/g in 2001 and 2006, respectively. PCBs 138 and 180 were predominant congeners in 2001, while in 2006 the most abundant PCB congeners were 138 and 153. In 2006, the presence of PCB 28 and PCB 52 has indicated a recent contamination event. Data on continual monitoring of PCBs in all relevant environmental compartments together with appropriate biomonitoring data are expected to give comprehensive insight into the fate and behaviour profile of these contaminants.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Janković</LastName><ForeName>Saša</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>Institute of Meat Hygiene and Technology, Belgrade, Serbia. sasa@inmesbgd.com</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Curčić</LastName><ForeName>Marijana</ForeName><Initials>M</Initials></Author><Author ValidYN="Y"><LastName>Radičević</LastName><ForeName>Tatjana</ForeName><Initials>T</Initials></Author><Author ValidYN="Y"><LastName>Stefanović</LastName><ForeName>Srđan</ForeName><Initials>S</Initials></Author><Author ValidYN="Y"><LastName>Lenhardt</LastName><ForeName>Mirjana</ForeName><Initials>M</Initials></Author><Author ValidYN="Y"><LastName>Durgo</LastName><ForeName>Ksenija</ForeName><Initials>K</Initials></Author><Author ValidYN="Y"><LastName>Antonijević</LastName><ForeName>Biljana</ForeName><Initials>B</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2010</Year><Month>12</Month><Day>16</Day></ArticleDate></Article><MedlineJournalInfo><Country>Netherlands</Country><MedlineTA>Environ Monit Assess</MedlineTA><NlmUniqueID>8508350</NlmUniqueID><ISSNLinking>0167-6369</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D014874">Water Pollutants, Chemical</NameOfSubstance></Chemical><Chemical><RegistryNumber>DFC2HB4I0K</RegistryNumber><NameOfSubstance UI="D011078">Polychlorinated Biphenyls</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000818" MajorTopicYN="N">Animals</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D004784" MajorTopicYN="Y">Environmental Monitoring</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005399" MajorTopicYN="N">Fishes</DescriptorName><QualifierName UI="Q000378" MajorTopicYN="Y">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011078" MajorTopicYN="N">Polychlorinated Biphenyls</DescriptorName><QualifierName UI="Q000032" MajorTopicYN="N">analysis</QualifierName><QualifierName UI="Q000378" MajorTopicYN="Y">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D045483" MajorTopicYN="N">Rivers</DescriptorName><QualifierName UI="Q000737" MajorTopicYN="N">chemistry</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D055771" MajorTopicYN="N" Type="Geographic">Serbia</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014874" MajorTopicYN="N">Water Pollutants, Chemical</DescriptorName><QualifierName UI="Q000032" MajorTopicYN="N">analysis</QualifierName><QualifierName UI="Q000378" MajorTopicYN="Y">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D014877" MajorTopicYN="N">Water Pollution, Chemical</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2010</Year><Month>04</Month><Day>30</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2010</Year><Month>11</Month><Day>22</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2010</Year><Month>12</Month><Day>17</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2010</Year><Month>12</Month><Day>17</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2012</Year><Month>11</Month><Day>8</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">21161586</ArticleId><ArticleId IdType="doi">10.1007/s10661-010-1820-x</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Serbie</li></country></list><tree><noCountry><name sortKey="Antonijevi, Biljana" sort="Antonijevi, Biljana" uniqKey="Antonijevi B" first="Biljana" last="Antonijevi">Biljana Antonijevi</name><name sortKey="Cur I, Marijana" sort="Cur I, Marijana" uniqKey="Cur I M" first="Marijana" last="Cur I">Marijana Cur I</name><name sortKey="Durgo, Ksenija" sort="Durgo, Ksenija" uniqKey="Durgo K" first="Ksenija" last="Durgo">Ksenija Durgo</name><name sortKey="Lenhardt, Mirjana" sort="Lenhardt, Mirjana" uniqKey="Lenhardt M" first="Mirjana" last="Lenhardt">Mirjana Lenhardt</name><name sortKey="Radi Evi, Tatjana" sort="Radi Evi, Tatjana" uniqKey="Radi Evi T" first="Tatjana" last="Radi Evi">Tatjana Radi Evi</name><name sortKey="Stefanovi, Sr An" sort="Stefanovi, Sr An" uniqKey="Stefanovi S" first="Sr An" last="Stefanovi">Sr An Stefanovi</name></noCountry><country name="Serbie"><noRegion><name sortKey="Jankovi, Sasa" sort="Jankovi, Sasa" uniqKey="Jankovi S" first="Saša" last="Jankovi">Saša Jankovi</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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