Carolina Rios, New York University
The Problem: Polychlorinated biphenyls (PCBs) are a legacy contaminant that pose a threat to human health. PCBs are classified as possible carcinogens and are known to affect neurological development and contribute to diabetes (Xue et. al 2014). Additionally, PCBs are known to alter liver function, impact immune and thyroid function and effect reproduction, as well as gastrointestinal and respiratory health (Hansen 1987). Humans are largely exposed to PCBs by consuming contaminated animal products, such as contaminated fish or dairy (Xue et. al 2014). Similarly, dolphins sampled near Brunswick, Georgia were found to have elevated levels of PCBs, likely due to the consumption of contaminated fish (Wirth et. al 2014). The hydrophobic properties of PCBs mean that they bioaccumulate and can be found in aquatic organisms in concentrations thousands of times greater than the surrounding environment (Nimmo et. al 1974). PCBs also biomagnify up trophic levels in the web, and can be found in even greater concentrations in predator species, as they consume contaminated prey. Thus, the effects of PCBs can be felt throughout the ecosystem.
As PCBs are still relevant contaminants, it is important that we are able to quantify injury associated with PCB levels found in the coastal environment. It is particularly difficult to assess this risk to benthic marine invertebrates (organisms that live in the interface between the bottom of the ocean and the sediment). Therefore, a model has been proposed that predict rates of injury to benthic marine invertebrates (Finkelstein. et al 2017). This model was created through an extensive literature search. However, the data collected as the basis of this mathematical model dates back to the 1970s. In order to verify this model, it is important that we generate new data to verify the accuracy of the model in predicting benthic marine invertebrate injury.
PCBs were produced for industrial use, such as dielectric fluids, hydraulic fluids, and heat transfer fluids. From 1929 to 1977, PCBs were produced by the Monsanto Corporation in the US, before being removed from production due to negative effects on human health and the environment. Of the 1.4 billion pounds of PCBs produced in the US, it is estimated that one third has entered the environment (Safe et. al 1987). Though they are no longer being produced, their stability and long half-life means that PCBs are still present and continue to pose a real threat to the environment.
I would like to thank Dr. Ed Wirth and Brian Shaddrix for their continued guidance and support, as well as my co-mentor Dr. Paul Pennington. Supported by the Fort Johnson REU Program, NSF DBI-1757899.
Finkelstein, K. & Beckvar, N. & Dillon, T. (2016). Benthic injury dose-response models for PCB-contaminated sediment using equilibrium partitioning. Environmental toxicology and chemistry, 36 (5), pp. 1311-1329. doi:10.1002/etc.3662.
Hansen, L. (1987). Polychlorinated Biphenyls: Environmental Occurrence and Analysis. In S. Safe (Ed.), Polychlorinated Biphenyls (PCBs): Mammalian and Environmental Toxicology, pp. 15-48. Berlin, Heidelberg: Springer Berlin Heidelberg.
Nimmo, D. & Forester, J. & Heitmuller, P & Cook, G. (1974). Accumulation of Aroclor 1254 in grass shrimp (Palaemonetes pugio) in laboratory and field exposures. Bulletin of environmental contamination and toxicology. 11 (4) pp. 303-308. 10.1007/bf01684932.
Safe S., & Safe, L., & Mullin, M. (1987). Environmental Toxicology of Polychlorinated Biphenyls. In S. Safe (Ed.), Polychlorinated Biphenyls (PCBs): Mammalian and Environmental Toxicology, pp. 1-13. Berlin, Heidelberg: Springer Berlin Heidelberg.
Wirth, E.F., & Pennington, P.L., & Cooksey, C., Schwake, L., & Hyland, J., & Fulton, M.H. (2014) Distribution and sources of PCBs (Aroclor 1268) in the Salepo Island National estuarine research reserve. Environmental Monitoring and Assessment. 186 (12) pp. 8717-8726. doi:10.1007/s10661-014-4039-4
Xue, J., & Liu, S., & Zartarian, V., & Geller, A., & Schultz, B. (2014). Analysis of NHANES measured blood PCBs in the general US population and application of SHEDS model to identify key exposure factors. Journal of Exposure Science and Environmental Epidemiology. 24 (6) pp. 615-621. doi: 10.1038/jes.2013.91