The organizations that remediate Superfund sites face the challenge of how to measure success;i.e., how to assess the changes in the bioavailability of contaminants.They need quantitative tools that can characterize contaminants and predict their risk to local organisms and humans. Non-chemical factors such as ultra-violet radiation can transform the parent compounds into unmonitored chemicals that can change the toxicity of waters and sediments. To address this issue, we have developed passive sampling devices (PSDs) that can sequester thousands of bioavailable chemicals. These devices can help regulatory agencies to evaluate new remediation technologies that may either produce or release previously unmonitored chemicals. Our PSDs are now sequestering chemicals at multiple Superfund sites, where they capture relevant organic compounds, including hydrophilic and semi-polar contaminants. We propose to test these hypotheses: PSDs sequester realistic and relevant mixtures from Superfund sites. PSDs can help researchers to characterize exposure accurately. PSDs can simplify toxicity assessments. PSDs can evaluate the effectiveness of remediation, considering not only the target contaminants but also any perturbations of the system that the remediation technologies may have induced. PSDs can serve as biological surrogates in public health assessments of Superfund sites. We propose to develop a set of widely applicable bio-analytical tools. We will integrate these tools with bioassays to characterize Superfund sediments. We assume that a small minority of the chemicals at Superfund sites are responsible for the majority of the toxicity. We will apply stressors to PSD extracts and characterize the chemical and biological effects. We will deliver methods and tools to assess the impact of non-chemical/chemical stressors that act on Superfund mixtures during natural transformation processes and remediation. We will develop PSD-bioaccumulation models that can predict chemical load in aquatic tissues with useful accuracy on the basis of measured PSD extracts. The ability to predict aquatic tissues from PSD extracts will enable Superfund managers and public health officials to collect data with better temporal and spatial resolution.
We assume that a small minority of the chemicals at Superfund sites are responsible for the majority of the toxicity. We propose to help the Superfund achieve one of its key goals, which is to identify the components that have adverse biological effects. We will assess the impact of stressors supporting the Superfund program's goal to characterize exposure more accurately. We propose an alternative to tissue analysis that may help provide a better metric for measuring concentrations in fish during remediation, a SRP key goal..
|Garcia, Gloria R; Goodale, Britton C; Wiley, Michelle W et al. (2017) In Vivo Characterization of an AHR-Dependent Long Noncoding RNA Required for Proper Sox9b Expression. Mol Pharmacol 91:609-619|
|Donald, Carey E; Anderson, Kim A (2017) Assessing soil-air partitioning of PAHs and PCBs with a new fugacity passive sampler. Sci Total Environ 596-597:293-302|
|Wittwehr, Clemens; Aladjov, Hristo; Ankley, Gerald et al. (2017) How Adverse Outcome Pathways Can Aid the Development and Use of Computational Prediction Models for Regulatory Toxicology. Toxicol Sci 155:326-336|
|Madeen, Erin P; Williams, David E (2017) Environmental PAH exposure and male idiopathic infertility: a review on early life exposures and adult diagnosis. Rev Environ Health 32:73-81|
|Shrivastava, Manish; Lou, Silja; Zelenyuk, Alla et al. (2017) Global long-range transport and lung cancer risk from polycyclic aromatic hydrocarbons shielded by coatings of organic aerosol. Proc Natl Acad Sci U S A 114:1246-1251|
|Geier, Mitra C; Chlebowski, Anna C; Truong, Lisa et al. (2017) Comparative developmental toxicity of a comprehensive suite of polycyclic aromatic hydrocarbons. Arch Toxicol :|
|Knecht, Andrea L; Truong, Lisa; Simonich, Michael T et al. (2017) Developmental benzo[a]pyrene (B[a]P) exposure impacts larval behavior and impairs adult learning in zebrafish. Neurotoxicol Teratol 59:27-34|
|Zhang, Guozhu; Truong, Lisa; Tanguay, Robert L et al. (2017) A New Statistical Approach to Characterize Chemical-Elicited Behavioral Effects in High-Throughput Studies Using Zebrafish. PLoS One 12:e0169408|
|Madeen, Erin P; Löhr, Christiane V; You, Hannah et al. (2017) Dibenzo[def,p]chrysene transplacental carcinogenesis in wild-type, Cyp1b1 knockout, and CYP1B1 humanized mice. Mol Carcinog 56:163-171|
|Knecht, Andrea L; Truong, Lisa; Marvel, Skylar W et al. (2017) Transgenerational inheritance of neurobehavioral and physiological deficits from developmental exposure to benzo[a]pyrene in zebrafish. Toxicol Appl Pharmacol 329:148-157|
Showing the most recent 10 out of 156 publications