Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
12
pubmed:dateCreated
2007-7-13
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.
pubmed:grant
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, http://linkedlifedata.com/resource/pubmed/commentcorrection/17626436-12850102, http://linkedlifedata.com/resource/pubmed/commentcorrection/17626436-15096657, http://linkedlifedata.com/resource/pubmed/commentcorrection/17626436-15099731, http://linkedlifedata.com/resource/pubmed/commentcorrection/17626436-15819233, http://linkedlifedata.com/resource/pubmed/commentcorrection/17626436-16120753, http://linkedlifedata.com/resource/pubmed/commentcorrection/17626436-16245802, http://linkedlifedata.com/resource/pubmed/commentcorrection/17626436-16829543, http://linkedlifedata.com/resource/pubmed/commentcorrection/17626436-18969542, http://linkedlifedata.com/resource/pubmed/commentcorrection/17626436-2124811, http://linkedlifedata.com/resource/pubmed/commentcorrection/17626436-2846558, http://linkedlifedata.com/resource/pubmed/commentcorrection/17626436-3464941, http://linkedlifedata.com/resource/pubmed/commentcorrection/17626436-3719049, http://linkedlifedata.com/resource/pubmed/commentcorrection/17626436-675706, http://linkedlifedata.com/resource/pubmed/commentcorrection/17626436-7598497, http://linkedlifedata.com/resource/pubmed/commentcorrection/17626436-7698077, http://linkedlifedata.com/resource/pubmed/commentcorrection/17626436-8037844, http://linkedlifedata.com/resource/pubmed/commentcorrection/17626436-8310450, http://linkedlifedata.com/resource/pubmed/commentcorrection/17626436-8538618, http://linkedlifedata.com/resource/pubmed/commentcorrection/17626436-8812265, http://linkedlifedata.com/resource/pubmed/commentcorrection/17626436-9508738, http://linkedlifedata.com/resource/pubmed/commentcorrection/17626436-9831538
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
0013-936X
pubmed:author
pubmed:issnType
Print
pubmed:day
15
pubmed:volume
41
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
4354-60
pubmed:dateRevised
2011-9-26
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
Mathematical model developed for environmental samples: prediction of GC/MS dioxin TEQ from XDS-CALUX bioassay data.
pubmed:affiliation
Xenobiotic Detection Systems, 1601 East Geer Street, Suite S, Durham, North Carolina 27704, USA.
pubmed:publicationType
Journal Article, Comparative Study, Research Support, N.I.H., Extramural, Validation Studies