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      Passive sampling methods for contaminated sediments: State of the science for metals

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          Abstract

          “Dissolved” concentrations of contaminants in sediment porewater ( C free) provide a more relevant exposure metric for risk assessment than do total concentrations. Passive sampling methods (PSMs) for estimating C free offer the potential for cost-efficient and accurate in situ characterization of C free for inorganic sediment contaminants. In contrast to the PSMs validated and applied for organic contaminants, the various passive sampling devices developed for metals, metalloids, and some nonmetals (collectively termed “metals”) have been exploited to a limited extent, despite recognized advantages that include low detection limits, detection of time-averaged trends, high spatial resolution, information about dissolved metal speciation, and the ability to capture episodic events and cyclic changes that may be missed by occasional grab sampling. We summarize the PSM approaches for assessing metal toxicity to, and bioaccumulation by, sediment-dwelling biota, including the recognized advantages and limitations of each approach, the need for standardization, and further work needed to facilitate broader acceptance and application of PSM-derived information by decision makers. Integr Environ Assess Manag 2014;10:179–196. © 2014 The Authors. Integrated Environmental Assessment and Management published by Wiley Periodicals, Inc. on behalf of SETAC.

          Key Points

          1. Passive sampling methods (PSMs) offer the potential for cost-efficient and accurate in situ characterization of the dissolved concentrations for inorganic sediment contaminants.

          2. PSMs are useful for evaluating the geochemical behavior of metals in surficial sediments, including determination of fluxes across the sediment-water interface, and post-depositional changes in metal speciation.

          3. Few studies have tried to link PSM responses in sediments to metal uptake and toxicity responses in benthic organisms. There is a clear need for further studies.

          4. Future PSMs could be designed to mimic saturable kinetics, which would fill the gap between the kinetic and the equilibrium regime samplers currently used, and may improve prediction of metals accumulation by benthic organisms.

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          Most cited references207

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          An in situ sampler for close interval pore water studies1

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            Biotic ligand model of the acute toxicity of metals. 1. Technical basis.

            The biotic ligand model (BLM) of acute metal toxicity to aquatic organisms is based on the idea that mortality occurs when the metal-biotic ligand complex reaches a critical concentration. For fish, the biotic ligand is either known or suspected to be the sodium or calcium channel proteins in the gill surface that regulate the ionic composition of the blood. For other organisms, it is hypothesized that a biotic ligand exists and that mortality can be modeled in a similar way. The biotic ligand interacts with the metal cations in solution. The amount of metal that binds is determined by a competition for metal ions between the biotic ligand and the other aqueous ligands, particularly dissolved organic matter (DOM), and the competition for the biotic ligand between the toxic metal ion and the other metal cations in solution, for example, calcium. The model is a generalization of the free ion activity model that relates toxicity to the concentration of the divalent metal cation. The difference is the presence of competitive binding at the biotic ligand, which models the protective effects of other metal cations, and the direct influence of pH. The model is implemented using the Windermere humic aqueous model (WHAM) model of metal-DOM complexation. It is applied to copper and silver using gill complexation constants reported by R. Playle and coworkers. Initial application is made to the fathead minnow data set reported by R. Erickson and a water effects ratio data set by J. Diamond. The use of the BLM for determining total maximum daily loadings (TMDLs) and for regional risk assessments is discussed within a probabilistic framework. At first glance, it appears that a large amount of data are required for a successful application. However, the use of lognormal probability distributions reduces the required data to a manageable amount.
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              Why is metal bioaccumulation so variable? Biodynamics as a unifying concept.

              Ecological risks from metal contaminants are difficult to document because responses differ among species, threats differ among metals, and environmental influences are complex. Unifying concepts are needed to bettertie together such complexities. Here we suggest that a biologically based conceptualization, the biodynamic model, provides the necessary unification for a key aspect in risk: metal bioaccumulation (internal exposure). The model is mechanistically based, but empirically considers geochemical influences, biological differences, and differences among metals. Forecasts from the model agree closely with observations from nature, validating its basic assumptions. The biodynamic metal bioaccumulation model combines targeted, high-quality geochemical analyses from a site of interestwith parametrization of key physiological constants for a species from that site. The physiological parameters include metal influx rates from water, influx rates from food, rate constants of loss, and growth rates (when high). We compiled results from 15 publications that forecast species-specific bioaccumulation, and compare the forecasts to bioaccumulation data from the field. These data consider concentrations that cover 7 orders of magnitude. They include 7 metals and 14 species of animals from 3 phyla and 11 marine, estuarine, and freshwater environments. The coefficient of determination (R2) between forecasts and independently observed bioaccumulation from the field was 0.98. Most forecasts agreed with observations within 2-fold. The agreement suggests that the basic assumptions of the biodynamic model are tenable. A unified explanation of metal bioaccumulation sets the stage for a realistic understanding of toxicity and ecological effects of metals in nature.
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                Author and article information

                Journal
                Integr Environ Assess Manag
                Integr Environ Assess Manag
                ieam
                Integrated Environmental Assessment and Management
                BlackWell Publishing Ltd (Oxford, UK )
                1551-3777
                1551-3793
                April 2014
                27 January 2014
                : 10
                : 2
                : 179-196
                Affiliations
                []Institute of Environmental Sciences (CML), University of Leiden Leiden, The Netherlands
                []National Institute for Public Health and the Environment, Center for Safety of Substances and Products Bilthoven, The Netherlands
                [§ ]Environmental Futures Research Institute, School of Environment, Griffith University Gold Coast Campus, Southport, Australia
                []Department of Civil and Environmental Engineering, Texas Tech University Lubbock, Texas, USA
                [# ]Center for Integrated Ecology, Environmental Sustainability Research Cluster, Deakin University Warrnambool Campus, Warrnambool, Victoria, Australia
                [†† ]Université du Québec, Institut National de la Recherche Scientifique, Centre Eau, Terre et Environnement Québec, Canada
                Author notes
                * To whom correspondence may be addressed: willie.peijnenburg@ 123456rivm.nl

                Published online in Wiley Online Library (wileyonlinelibrary.com).

                Article
                10.1002/ieam.1502
                4238822
                24470168
                bc8eaea5-84a9-487d-99de-a53cffa7b804
                © 2014 The Authors. Integrated Environmental Assessment and Management published by Wiley Periodicals, Inc. on behalf of SETAC.

                This is an open access article under the terms of the Creative Commons Attribution 4.0 License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 18 July 2013
                : 23 August 2013
                : 01 November 2013
                Categories
                Special Series: Passive Sampling Methods for Contaminated Sediments

                General environmental science
                metals,contaminated sediment,passive sampling,bioaccumulation,toxicity

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