Alterations in fingerprints of polychlorinated biphenyls in benthic biota at the Portland Harbor Superfund Site (Oregon, USA) suggest metabolism
Introduction
The Portland Harbor Superfund Site (PHSS) is one of many contaminated sites in the United States, where polychlorinated biphenyls (PCBs) are a main contaminant of concern (USEPA, 2016). There are over 60 facilities on the harbor that may be sources of contamination (USEPA, 2016). These are shown in figure S-1 of supporting information. Given the large number of potentially responsible parties, a better understanding of the sources of PCB contamination at this site is essential. To further this objective, Rodenburg et al. (2015c) conducted fingerprinting analysis of the 209 PCB congeners, measured in the water column and sediment of the PHSS, using EPA Method 1668 (USEPA, 2003). The present work extends this fingerprinting analysis to include benthic biota in order to determine whether PCB sources remain recognizable in biota, and to what extent these sources impact biota, relative to sediment and water.
By fingerprinting PCB profiles in multiple environmental compartments, the relative importance of sources to different media can be assessed. This has been attempted, for example, in the Delaware River basin and the New York/New Jersey Harbor, where PCB signatures have been investigated in air (Praipipat et al., 2017), water (Du et al., 2008; Rodenburg et al., 2011), sediment (Praipipat et al., 2013; Rodenburg and Ralston, 2017), and permitted discharges (Rodenburg et al., 2010a, 2012). In these systems, however, there was insufficient data to perform fingerprinting analysis on the biota. One location where fingerprinting of PCBs in biota has been performed is the Hanford Site in Washington State (Rodenburg et al., 2015a). Unfortunately, the data on PCBs in the water and sediment at the Hanford site are not sufficient for fingerprinting analysis. Thus, the PHSS presents a unique opportunity to link PCB signatures in benthic biota with those in co-located sediment and water samples. It is particularly important to compare biota and sediment fingerprints, because absorption, distribution, metabolism, and excretion (ADME) processes can alter PCB fingerprints in biota.
The overall objective of this study was to understand how PCB profiles in the water column and sediment, investigated in our previous work (Rodenburg et al., 2015c), affect local benthic biota. Source apportionment, using Positive Matrix Factorization (PMF), was conducted on PCBs in biota in order to compare the dominant PCB sources in biota with those observed in the water column and sediment. In addition, specific ratios of PCB congeners in biota, diagnostic to metabolic activity, support PMF analysis and provide mechanistic insight into PCB biotransformation processes in aquatic invertebrates.
Section snippets
Materials and methods
Portland Harbor is a tidal estuary that is home to the City of Portland, Oregon, with a population of about 600,000 (see map, Supporting Information Figure S-1). The current study area extends from River Mile (RM) 1.9 to 11.8, where RM 0 is defined as the confluence of the Willamette and Columbia rivers. (Figure S-1). Data were obtained from the PHSS Remedial Investigation (RI) database (provided as Appendix F of USEPA, 2016).
Results
Total PCB (ΣPCB) concentrations in the 130 samples of benthic biota ranged from 2100 pg/g to 3,800,000 pg/g ww (non-detects set to zero).
Conclusions
PCB congener fingerprints in the biota generally remain similar to the unweathered Aroclors (Fig. 1), allowing the apportionment of these sources with a satisfactory degree of confidence. Aroclor 1260 appears to undergo the greatest degree of alteration via ADME processes, but the fingerprint resulting from these processes still resembles Aroclor 1260 well enough to be recognizable. In addition, this ADME-altered Aroclor 1260 fingerprint is similar to the one found at the Hanford Site (Fig. 1),
Acknowledgements
This was an unfunded study. The authors thank Jennifer L. Peterson at the Oregon Department of Environmental Quality (ODEQ) for help in understanding the PCB dataset and Lawrence P. Burkhard at the EPA Mid-Continent Ecology Division (MED) Laboratory for providing the EPA's BSAF Dataset Version 1.00. We also thank Kevin Farley for helpful insights.
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