Home > Publications . Search All . Browse All . Country . Browse PSC Pubs . PSC Report Series

PSC In The News

RSS Feed icon

Do universities need more conservative thinkers?

Geronimus says black-white differences in mortality "help silence black voices in the electorate"

Starr critical of risk assessment scores for sentencing

Highlights

Presentation on multilevel modeling using Stata, July 26th, noon, 6050 ISR

Frey's new report explores how the changing US electorate could shape the next 5 presidential elections, 2016 to 2032

U-M's Data Science Initiative offers expanded consulting services via CSCAR

Elizabeth Bruch promoted to Associate Professor

Next Brown Bag

PSC Brown Bags
will resume fall 2016

Polytopic vector analysis of soil, dust, and serum samples to evaluate exposure sources of PCDD/Fs

Publication Abstract

Towey, T., N. Barabas, A. Demond, A. Franzblau, D. Garabrant, B. Gillespie, James M. Lepkowski, and P. Adriaens. 2012. "Polytopic vector analysis of soil, dust, and serum samples to evaluate exposure sources of PCDD/Fs." Environmental Toxicology and Chemistry, 31(10): 2191-200.

As part of the University of Michigan Dioxin Exposure Study, soil, household dust, and serum samples were collected from more than 750 households in five populations around the city of Midland and in Jackson and Calhoun Counties, Michigan, USA. Polytopic vector analysis, a type of receptor model, was applied to better understand the potential sources of polychlorinated dibenzo-p-dioxins and polychlorinated dibenzofurans found in these samples and to quantify the contributions of the sources in each matrix across populations. The results indicated that source signatures found in soil are similar to those found in dust, reflecting various combustion profiles, pentachlorophenol, and graphite electrode sludge. The profiles associated with contamination in the Tittabawassee River, likely related to historical discharges from the Dow Chemical Company facility in Midland, exhibited the largest differences among the regional populations sampled. Differences in serum source contributions among the study populations were consistent with some of the regional differences observed in soil samples. However, the age trends of these differences suggested that they are related to past exposures, rather than ongoing sources.

DOI:10.1002/etc.1942 (Full Text)

Browse | Search : All Pubs | Next