title: Statistical method to evaluate the occurrence of PCB transformations in river sediments with application to Hudson River data.
abstract: Polychlorinated biphenyls (PCBs) were produced in the mid 1900s for industrial use. The term PCBs refers to 209 theoretically possible chlorinated compounds of the biphenyl molecule (congeners). The number and location of the chlorines govern both the environmental fate and toxicity of each congener. Changes in the distribution of congeners in river sediments can result from congener transformation and/or preferential congener transport. This study exploits the distribution of PCB congeners, specifically congeners that maintain a constant ratio relationship in the commercially manufactured PCB mixtures (Aroclors), to quantify the likelihood of congener distribution shifts in river sediment. By using relative abundances, the influence of total PCB bias is eliminated. Correlated congeners (tracker pairs) maintain a constant relative proportion in sequentially more-highly chlorinated Aroclors, thus there is no need to know the source contaminating Aroclors a priori. Using the Frame et al. database of Aroclor congener distributions, 276 pairs of correlated congeners, constructed from 95 individual congeners, are identified. A comparison study of Aroclors and Hudson River sediments included 218 of the 276 tracker pairs. Conclusive evidence of a shift in the congener proportions is found in 120 of the 218 cases, a much greater number than expected if no change in congener distribution had occurred.
authors.affiliation: Department of Civil and Environmental Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213-3890, USA.
authors.forename: Sandra C
authors.initials: SC
authors.lastname: Karcher
authors.forename: Mitchell J
authors.initials: MJ
authors.lastname: Small
authors.forename: Jeanne M
authors.initials: JM
authors.lastname: VanBriesen
mesh_terms: D016208:Databases, Factual; D004784:Environmental Monitoring; D004785:Environmental Pollutants / Q000032:analysis*; D019015:Geologic Sediments / Q000737:chemistry; D009518:New York; D011078:Polychlorinated Biphenyls / Q000032:analysis* / Q000378:metabolism*; D045483:Rivers
chemical_list: D004785:Environmental Pollutants; D011078:Polychlorinated Biphenyls