Document NwDwZwgYG1jyez1Gxope5nxQ
Dioxin exposure study in Midland, MI
ANALYSIS OF VEGETATION CONCENTRATIONS OF PCDD/F/PCBS FROM A COMMUNITY IN MICHIGAN, USA
Adriaens P1, Towey T1, Chang S-C1, Demond A1, Chen Q2, Hong B2, Lee CY2, Gillespie BW2, Luksemburg W3, Maier M3
1Department of Civil and Environmental Engineering, University of Michigan College of Engineering, 1351 Beal, Ann Arbor, MI 48109; 2Department of Biostatistics, University of Michigan School of Public Health, 109 Observatory, Ann Arbor, MI 48109; 3Alta Analytical Laboratory, Inc., 1100 Windfield Way, El Dorado Hills, CA 95762
Keywords: Vegetation, Soil, Environmental Samples, North America, PCBs, PCDD/PCDF, TEQ
Introduction The University of Michigan Dioxin Exposure Study (UMDES) was undertaken in response to concerns among the population of Midland and Saginaw Counties that the discharge of dioxin-like compounds from the Dow Chemical Company facilities in Midland has resulted in contamination of soils in the Tittabawassee River flood plain and areas of the City of Midland. There is concern that people's body burdens of polychlorinated dibenzodioxins (PCDDs), polychlorinated dibenzofurans (PCDFs), and polychlorinated biphenyls (PCBs) may be elevated because of the environmental contamination. A central goal of the UMDES was to determine the factors that explain variation in serum congener levels of PCDDs, PCDFs, and PCBs, and to quantify how much variation each factor explains. Residential vegetation concentrations of PCDDs, PCDFs, and PCBs were included as one of the potentially explanatory factors. To analyze the relationship between vegetation concentration and a resident's body burden, samples were taken from residential properties in Midland, Saginaw and Bay Counties (Michigan, USA), and from Jackson and Calhoun Counties (Michigan, USA) as a comparison. This report describes the sampling methods and results of vegetation analysis conducted as part of UMDES. Overall study results are presented elsewhere.1
Materials and Methods Respondent Selection: Five populations in Midland, Saginaw, Bay, Jackson, and Calhoun Counties, Michigan, USA were sampled using a two-stage area probability household sample design. In order to be eligible for participation in the soil and vegetation sampling portion of the UMDES, subjects had to have lived in their residence at least five years and had to be the owner of their residence and property. A more detailed description of the populations and respondent selection methodology is reported elsewhere.2
Sampling Strategy: Soil and vegetation samples were collected concurrently. At each respondent's residence, up to seven soil and vegetation sampling stations were identified in three sets: the house perimeter set, the soil contact set, and the flood plain set. Up to four stations were sampled in the house perimeter set, up to two stations were in the soil contact set, and one station was in the flood plain set. Each station was defined by the placement of a 3-foot diameter sampling ring. Vegetation was rarely procured from the soil contact (garden) set. The decision was made to not seek permission to sample desired landscaping, and only a small fraction of the sampling took place during the timeframe in which vegetable garden samples could be procured. A more detailed description of soil and vegetation sampling strategy is given elsewhere.3
Sampling and Compositing Methods: Approximately 500 mL of vegetation, typically grass, was collected from each residential zone station from the area within the sampling ring and stored in a Ziploc bag. Approximately 1000 mL were collected from flood plain and soil contact stations, to ensure sufficient sample mass without compositing. Vegetation was procured by severing the vegetation at the ground level, resulting in occasional soil clumps attached to the vegetation. These clumps were removed during the compositing procedure. The compositing was conducted
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at the laboratories at the Environmental and Water Resource Engineering building at the University of Michigan. The samples were composited by set (house perimeter, soil contact, and flood plain) using a balance to ensure approximately equal masses from each station. The vegetation was mixed with a tossing action in a stainless steel bowl and stainless steel spoons. Samples of approximately 50 g were created and placed into 500 mL amber jars. Duplicate and triplicate samples were created from the remaining collected vegetation. The samples were stored in dedicated 4C cold rooms prior to analysis
Analytic Sequence: As part of the analytic sequence, vegetation samples were selected for analysis under either of
two conditions: the respondent was part of the Tittabawassee River flood plain population or the analysis of the
underlying soil sample yielded a value of greater than 8 pg/g TEQ. As a result of this analytic sequence 416 house
perimeter set, 163 flood plain set, and 18 soil contact set vegetation samples were selected for analysis. A more detailed description of the soil and vegetation analytic sequence is reported elsewhere.3
Sample Analysis: Analyses were performed by Alta Analytical Laboratory, Inc. (El Dorado Hills, California, USA) for the WHO designated 29 PCDD, PCDF, and PCB congeners4 using US EPA methods 82905 and 16686. As part of
sample preparation, 10 grams (dry weight) or half of the sample are soxhlet extracted with toluene for 16 hours. The
extract then goes through 3 cleanup procedures: acid/base silica gel, acid alumina and florisil. The extract is then
further concentrated to 20 uL and analyzed using HRGC/HRMS.
PCDD, PCDF, and PCB concentration distribution vegetation samples: A descriptive analysis of PCDD, PCDF, and
PCB congener concentrations in the vegetation was performed for each of the five geographic regions. Upper quantiles were compared among regions in addition to comparisons of mean levels. SAS7 statistical software was
used to complete the analyses.
Soil and Vegetation Comparison: For each vegetation sample, the corresponding soil sample was also analyzed. Using Minitab8, a congener specific comparison between each vegetation sample and the underlying soil sample was
made. A scatterplot and linear regression was created for each congener. The comparison was repeated separately
for the flood plain and plume populations to evaluate whether the deposition mechanism (flooding vs aerial) affects
the soil-vegetation relationship.
Vegetation Precision Calculations: As part of the UMDES QA/QC procedures, 23 blind duplicate vegetation samples were submitted for analysis. The precision of the collection, compositing, and analysis processes were assessed by the comparison of duplicate samples. The relative percent difference (RPD) was calculated as follows:
RPD
=
CO - CD
0.5(CO + CD
)
100
where
CO = measured concentration of the original sample CD = measured concentration of the duplicate sample
The RPD was calculated for each congener of each duplicate pair. Duplicate samples were also submitted for soil samples. The precision of soil and vegetation analytical results were compared.
Results and Discussion
Results and discussion will not be available until after complete study results have been presented to the affected communities in August of 2006.
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References
1. Franzblau, A, Garabrant, D, Adriaens, P, Gillespie, B, Lepkowski, J, Olson, K, Lohr-Ward, B, Ladronka, K, Sinibaldi, J, Chang, S-C, Chen, Q, Demond, A, Gwinn, D, Hedgeman, E, Hong, B, Knutson, K, Lee, S-Y, Sima, C, Towey, R, Wright, D, Zwica, L. Organohalogen Comp 2006 (forthcoming). 2. Olson, K, Garabrant, D, Franzblau, A, Adriaens, P, Gillespie, B, Lepkowski, J, Lohr-Ward, B, Ladronka, K, Sinibaldi, J, Chang, S-C, Chen, Q, Demond, A, Gwinn, D, Hedgeman, E, Hong, B, Knutson, K, Lee, S-Y, Sima, C, Towey, R, Wright, D, Zwica, L. Organohalogen Comp 2006 (forthcoming). 3. Demond A, Towey T, Chang SC, Adriaens P, Luksemburg W, Maier M, Favaro K, Wenning R, Kennington B. Organohalogen Comp 2006 (forthcoming). 4. Van den Berg M, Birnbaum L, Bosveld AT, Brunstrom B, Cook P, Feeley M, Giesy JP, Hanberg A, Hasegawa R, Kennedy SW, Kubiak T, Larsen JC, van Leeuwen FX, Liem AK, Nolt C, Peterson RE, Poellinger L, Safe S, Schrenk D, Tillitt D, Tysklind M, Younes M, Waern F, and Zacharewski T. Environmental Health Perspectives 1998;106:775-92. 5. United States Environmental Protection Agency (US EPA). Method 1668, Revision A: Chlorinated biphenyl congeners in water, soil, sediment, and tissue by high-resolution gas chromatography/high-resolution mass spectrometry (HRGC/HRMS). Washington, DC: Office of Water, 1999. 6. United States Environmental Protection Agency (US EPA). Method 8290: Polychlorinateddibenzodioxins (PCDDs) and polychlorinated dibenzofurans (PCDFs) by high-resolution gas chromatography/high-resolution mass spectrometry (HRGC/HRMS). Washington, DC: Office of Solid Waste and Emergency Response, 1994. 7. SAS Institute. SAS/STAT User's Guide Version 8. Cary, NC: SAS Institute Inc., 1999. 8. Minitab, Inc., State College, Pennsylvania, USA.
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