title: Evaluation of potential relationships between chemical contaminants in sediments and aquatic organisms from the lower Passaic River, New Jersey, USA.
abstract: The lower Passaic River, New Jersey, USA, a tidal tributary to Newark Bay and part of the New York and New Jersey Harbor Estuary, is contaminated with a variety of persistent organic pollutants (POPs) due to nearly two centuries of heavy industrialization and urbanization. Resident aquatic organisms are exposed to, and can bioaccumulate, a variety of chemical contaminants from sediments, water and other organisms. In the present study, the relationships between selected POPs detected in both surface sediments and aquatic organisms are examined statistically along with the efficacy of using empirical biota-sediment accumulation factors (BSAFs) to describe such relationships. Regression analyses were conducted on synoptic surface sediment POP data (0 to 15 cm in depth) and whole-body tissue POP data for three prominent organisms that reside in the river and which are important components of the food web: mummichog (Fundulus heteroclitus), blue crab (Callinectes sapidus), and white perch (Morone americana). Per the equilibrium partitioning theory on which the BSAF model is based, surface sediment data were normalized to total organic carbon and tissue data were normalized to lipid content for each organism. Normalized surface sediment concentrations were generally poorly correlated with normalized biota tissue concentrations. The BSAF model was not found to be a reliable means to predict concentrations of POPs in select lower Passaic River organisms, using surface sediment chemistry data.
authors.affiliation: ARCADIS, Annapolis, Maryland, USA. jackie.iannuzzi@arcadis-us.com
authors.forename: Jacqueline
authors.initials: J
authors.lastname: Iannuzzi
authors.forename: Matthew
authors.initials: M
authors.lastname: Butcher
authors.forename: Timothy
authors.initials: T
authors.lastname: Iannuzzi
mesh_terms: D000818:Animals; D059001:Aquatic Organisms / Q000378:metabolism*; D001492:Bass / Q000378:metabolism; D058448:Biota; D003386:Brachyura / Q000378:metabolism; D004784:Environmental Monitoring; D020387:Food Chain; D023781:Fundulidae / Q000378:metabolism; D019015:Geologic Sediments / Q000737:chemistry*; D008954:Models, Biological; D008956:Models, Chemical; D009515:New Jersey; D009930:Organic Chemicals / Q000032:analysis / Q000737:chemistry / Q000378:metabolism; D012044:Regression Analysis; D045483:Rivers / Q000737:chemistry*; D014874:Water Pollutants, Chemical / Q000032:analysis* / Q000737:chemistry / Q000378:metabolism; D014877:Water Pollution, Chemical / Q000706:statistics & numerical data
chemical_list: D009930:Organic Chemicals; D014874:Water Pollutants, Chemical