%0 Journal Article %J Environ Pollut %D 2018 %T Environmental and individual PAH exposures near rural natural gas extraction. %A Paulik, L Blair %A Kevin A Hobbie %A Diana Rohlman %A Brian W Smith %A Richard P Scott %A Laurel D Kincl %A Erin N Haynes %A Kim A Anderson %K Air Pollutants %K Air Pollution %K Environmental Exposure %K Environmental Monitoring %K Humans %K Linear Models %K Natural Gas %K Oil and Gas Fields %K Petroleum %K Polycyclic Aromatic Hydrocarbons %K Pyrenes %K Silicones %K Tandem Mass Spectrometry %X

Natural gas extraction (NGE) has expanded rapidly in the United States in recent years. Despite concerns, there is little information about the effects of NGE on air quality or personal exposures of people living or working nearby. Recent research suggests NGE emits polycyclic aromatic hydrocarbons (PAHs) into air. This study used low-density polyethylene passive samplers to measure concentrations of PAHs in air near active (n = 3) and proposed (n = 2) NGE sites. At each site, two concentric rings of air samplers were placed around the active or proposed well pad location. Silicone wristbands were used to assess personal PAH exposures of participants (n = 19) living or working near the sampling sites. All samples were analyzed for 62 PAHs using GC-MS/MS, and point sources were estimated using the fluoranthene/pyrene isomer ratio. ∑PAH was significantly higher in air at active NGE sites (Wilcoxon rank sum test, p < 0.01). PAHs in air were also more petrogenic (petroleum-derived) at active NGE sites. This suggests that PAH mixtures at active NGE sites may have been affected by direct emissions from petroleum sources at these sites. ∑PAH was also significantly higher in wristbands from participants who had active NGE wells on their properties than from participants who did not (Wilcoxon rank sum test, p < 0.005). There was a significant positive correlation between ∑PAH in participants' wristbands and ∑PAH in air measured closest to participants' homes or workplaces (simple linear regression, p < 0.0001). These findings suggest that living or working near an active NGE well may increase personal PAH exposure. This work also supports the utility of the silicone wristband to assess personal PAH exposure.

%B Environ Pollut %V 241 %P 397-405 %8 2018 Oct %G eng %R 10.1016/j.envpol.2018.05.010 %0 Journal Article %J J Lab Autom %D 2012 %T Integration of data systems and technology improves research and collaboration for a superfund research center. %A Kevin A Hobbie %A Elena S Peterson %A Michael L Barton %A Katrina M Waters %A Kim A Anderson %K Biostatistics %K Chemistry Techniques, Analytical %K Computational Biology %K Cooperative Behavior %K Environmental Health %K Environmental Monitoring %K Humans %K Integrated Advanced Information Management Systems %K Oregon %K Polycyclic Hydrocarbons, Aromatic %K Universities %X

Large collaborative centers are a common model for accomplishing integrated environmental health research. These centers often include various types of scientific domains (e.g., chemistry, biology, bioinformatics) that are integrated to solve some of the nation's key economic or public health concerns. The Superfund Research Center (SRP) at Oregon State University (OSU) is one such center established in 2008 to study the emerging health risks of polycyclic aromatic hydrocarbons while using new technologies both in the field and laboratory. With outside collaboration at remote institutions, success for the center as a whole depends on the ability to effectively integrate data across all research projects and support cores. Therefore, the OSU SRP center developed a system that integrates environmental monitoring data with analytical chemistry data and downstream bioinformatics and statistics to enable complete "source-to-outcome" data modeling and information management. This article describes the development of this integrated information management system that includes commercial software for operational laboratory management and sample management in addition to open-source custom-built software for bioinformatics and experimental data management.

%B J Lab Autom %V 17 %P 275-83 %8 08/2012 %G eng %N 4 %1

http://www.ncbi.nlm.nih.gov/pubmed/22651935?dopt=Abstract

%R 10.1177/2211068212448428