rdf:type |
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lifeskim:mentions |
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pubmed:issue |
12
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pubmed:dateCreated |
2007-7-13
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pubmed:abstractText |
Remediation of hazardous waste sites requires efficient and cost-effective methods to assess the extent of contamination by toxic substances including dioxin-like chemicals. Traditionally, dioxin-like contamination has been assessed by gas chromatography/high-resolution mass spectrometry (GC/MS) analysis for specific polychlorinated dibenzo-p-dioxins, dibenzofurans, and biphenyl congeners. Toxic equivalency factors for these congeners are then used to estimate the overall dioxin toxic equivalency (TEQ) of complex mixtures found in samples. The XDS-CALUX bioassay estimates contamination by dioxin-like chemicals in a sample extract by measuring expression of a sensitive reporter gene in genetically engineered cells. The output of the XDS-CALUX assay is a CALUX-TEQ value, calibrated based on TCDD standards. Soil samples taken from a variety of hazardous waste sites were measured using the XDS-CALUX bioassay and GC/MS. TEQ and CALUX-TEQ from these methods were compared, and a mathematical model was developed describing the relationship between these two data sets: log(TEQ) = 0.654 x log(CALUX-TEQ) + 0.058-(log(CALUX-TEQ))2. Applying this equation to these samples showed that predicted and GC/MS measured TEQ values strongly correlate (R2 = 0.876) and that TEQ values predicted from CALUX-TEQ were on average nearly identical to the GC/MS-TEQ. The ability of XDS-CALUX bioassay data to predict GC/MS-derived TEQ data should make this procedure useful in risk assessment and management decisions.
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pubmed:grant |
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pubmed:commentsCorrections |
http://linkedlifedata.com/resource/pubmed/commentcorrection/17626436-10948276,
http://linkedlifedata.com/resource/pubmed/commentcorrection/17626436-11979591,
http://linkedlifedata.com/resource/pubmed/commentcorrection/17626436-12540743,
http://linkedlifedata.com/resource/pubmed/commentcorrection/17626436-12790202,
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http://linkedlifedata.com/resource/pubmed/commentcorrection/17626436-15099731,
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http://linkedlifedata.com/resource/pubmed/commentcorrection/17626436-16120753,
http://linkedlifedata.com/resource/pubmed/commentcorrection/17626436-16245802,
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http://linkedlifedata.com/resource/pubmed/commentcorrection/17626436-2124811,
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http://linkedlifedata.com/resource/pubmed/commentcorrection/17626436-9831538
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pubmed:language |
eng
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pubmed:journal |
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pubmed:citationSubset |
IM
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pubmed:chemical |
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pubmed:status |
MEDLINE
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pubmed:month |
Jun
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pubmed:issn |
0013-936X
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pubmed:author |
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pubmed:issnType |
Print
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pubmed:day |
15
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pubmed:volume |
41
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
4354-60
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pubmed:dateRevised |
2011-9-26
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pubmed:meshHeading |
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pubmed:year |
2007
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pubmed:articleTitle |
Mathematical model developed for environmental samples: prediction of GC/MS dioxin TEQ from XDS-CALUX bioassay data.
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pubmed:affiliation |
Xenobiotic Detection Systems, 1601 East Geer Street, Suite S, Durham, North Carolina 27704, USA.
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pubmed:publicationType |
Journal Article,
Comparative Study,
Research Support, N.I.H., Extramural,
Validation Studies
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