Literature DB >> 14717180

Congener-based Aroclor quantification and speciation techniques: a comparison of the strengths, weaknesses, and proper use of two alternative approaches.

Paula J Sather1, John W Newman, Michael G Ikonomou.   

Abstract

This paper compares two previously published methods, an Aroclor estimation method and a mixing model method, that relate Aroclor contamination to congener specific data in environmental samples. The Aroclor estimation method, which is consistent with U.S. EPA Method 8082, uses a limited set of congener specific data to estimate Aroclor contributions to the sample, while the mixing model method uses the full congener data to model sample compositions as linear combinations of Aroclors. The performance of these methods are compared, using 181 samples at a variety of trophic levels, in terms of (a) total PCB concentrations, (b) compositional modification levels from original Aroclors, and (c) determination of the Aroclor mixture or mixtures best describing the sample (Aroclor speciation). We find that the two methods agree in all three terms for samples of low trophic level, but disagree for samples of higher tropic levels. Most significantly, the comparison reveals systematic overestimation of total PCB content by the Aroclor estimation method for samples at high trophic levels. The implication is that Aroclor determinations using persistent congeners cannot reliably be used as surrogates for total PCB concentration. The strengths and weaknesses of each method are detailed.

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Year:  2003        PMID: 14717180     DOI: 10.1021/es034432w

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  3 in total

1.  Analytical methods for PCBs and organochlorine pesticides in environmental monitoring and surveillance: a critical appraisal.

Authors:  Derek Muir; Ed Sverko
Journal:  Anal Bioanal Chem       Date:  2006-09-20       Impact factor: 4.142

2.  A comprehensive approach to actual polychlorinated biphenyls environmental contamination.

Authors:  F Risso; A Magherini; M Ottonelli; E Magi; S Lottici; S Maggiolo; M Garbarino; R Narizzano
Journal:  Environ Sci Pollut Res Int       Date:  2016-01-25       Impact factor: 4.223

3.  Chemical risks associated with consumption of shellfish harvested on the north shore of the St. Lawrence River's lower estuary.

Authors:  Fabien Gagnon; Thierry Tremblay; Justine Rouette; Jacques-François Cartier
Journal:  Environ Health Perspect       Date:  2004-06       Impact factor: 9.031

  3 in total

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