Passive Sampling in Regulatory Chemical Monitoring of Nonpolar Organic Compounds in the Aquatic Environment

Booij, Kees; Robinson, Craig D.; Burgess, Robert M.; Mayer, Philipp; Roberts, Cindy A.; Ahrens, Lutz; Allan, Ian; Brant, Jan L.; Jones, Lisa; Kraus, Uta; Larsen, Martin Mørk; Lepom, Peter; Petersen, Joerdis; Pröfrock, Daniel; Roose, Patrick; Schäfer, Sabine; Smedes, Foppe; Tixier, C.; Vorkamp, Katrin; Whitehouse, Paul

doi:10.1021/acs.est.5b04050

Cited by 143 publications

(103 citation statements)

References 137 publications

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“…In contrast to spot sampling, passive samplers allow to measure the more representative time weighted average water concentrations (TWA). Passive sampling data also provide information about the biologically available trace element fraction of the analysed water body (Booij et al, 2016). Besides the measurement of contaminant body burdens, the application of mussels as active sampling devices allows also the analysis of potential biological effects induced by the contaminants present in the surrounding water.…”

Section: Active and Passive Sampling Toolsmentioning

confidence: 99%

The Coastal Observing System for Northern and Arctic Seas (COSYNA)

et al. 2017

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Abstract. The Coastal Observing System for Northern and Arctic Seas (COSYNA) was established in order to better understand the complex interdisciplinary processes of northern seas and the Arctic coasts in a changing environment. Particular focus is given to the German Bight in the North Sea as a prime example of a heavily used coastal area, and Svalbard as an example of an Arctic coast that is under strong pressure due to global change.The COSYNA automated observing and modelling system is designed to monitor real-time conditions and provide short-term forecasts, data, and data products to help assess the impact of anthropogenically induced change. Observations are carried out by combining satellite and radar remote sensing with various in situ platforms. Novel sensors, instruments, and algorithms are developed to further improve the understanding of the interdisciplinary interactions between physics, biogeochemistry, and the ecology of coastal seas. New modelling and data assimilation techniques are used to integrate observations and models in a quasi-operational system providing descriptions and forecasts of key hydrographic variables.

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Section: Active and Passive Sampling Toolsmentioning

confidence: 99%

The Coastal Observing System for Northern and Arctic Seas (COSYNA)

et al. 2017

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“…Passive sampling in environmental applications has evolved from a scientific concept to a tool being promoted for use in regulatory decision making (Mayer et al 2003;Greenberg et al 2014;Booij et al 2016). During this evolution, several review articles have summarized the scientific foundations and approaches for passive sampling including its ability to estimate a chemical's freely dissolved concentration (C free ;Lohmann 2012;Lydy et al 2014;Mayer et al 2014;Ghosh et al 2014).…”

Section: Introductionmentioning

confidence: 99%

Using performance reference compounds to compare mass transfer calibration methodologies in passive samplers deployed in the water column

Joyce

Burgess

2018

Enviro Toxic and Chemistry

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Performance reference compounds (PRCs) are often added to passive samplers prior to field deployments to provide information about mass transfer kinetics between the sampled environment and the passive sampler. Their popularity has resulted in different methods of varying complexity to estimate mass transfer and better estimate freely dissolved concentrations (C ) of targeted compounds. Three methods for describing a mass transfer model are commonly used: a first-order kinetic method, a nonlinear least squares fitting of sampling rate, and a diffusion method. Low-density polyethylene strips loaded with PRCs and of 4 different thicknesses were used as passive samplers to create an array of PRC results to assess the comparability and reproducibility of each of the methods. Samplers were deployed in the water column at 3 stations in New Bedford Harbor (MA, USA). Collected data allowed C comparisons to be performed in 2 ways: 1) comparison of C derived from one thickness using different methods, and 2) comparison of C derived by the same method using different thicknesses of polyethylene. Overall, the nonlinear least squares and diffusion methods demonstrated the most precise results for all the PCBs measured and generated C values that were often statistically indistinguishable. Relative standard deviations (RSDs) for total PCB measurements using the same thickness and varying model types ranged from 0.04 to 12% and increased with sampler thickness, and RSDs for estimates using the same method and varying thickness ranged from 8 to 18%. Environmental scientists and managers are encouraged to use these methods when estimating C from passive sampling and PRC data. Environ Toxicol Chem 2018;37:2089-2097. Published 2018 Wiley Periodicals Inc. on behalf of SETAC. This article is a US government work and, as such, is in the public domain in the United States of America.

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“…Although this issue was initially a matter of debate within analytical chemistry (Hawthorne et al 2000;Vaes et al 2000), experimental studies have now demonstrated that hydrophobic organic contaminants (such as polycyclic aromatic hydrocarbons [PAHs] and polychlorinated biphenyls) can be absorbed into various polymers, including silicone and low density polyethylene (LDPE) (Lohmann 2012). This process is the mechanistic basis for most passive sampling techniques for HOCs (Booij et al 2016). Recent tests with 7 different HOCs and 4 polymers showed that the sorption process depends strongly on the polymer type (H€ uffer and Hofmann 2016).…”

Section: Sorption and Desorption: The Influence Of Intrinsic And Extrmentioning

confidence: 99%

Microplastics as vectors for environmental contaminants: Exploring sorption, desorption, and transfer to biota

Hartmann

Rist

Bodin

et al. 2017

Integr Envir Assess & Manag

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166

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The occurrence and effects of microplastics (MPs) in the aquatic environment are receiving increasing attention. In addition to their possible direct adverse effects on biota, the potential role of MPs as vectors for hydrophobic organic chemicals (HOCs), compared to natural pathways, is a topic of much debate. It is evident, however, that temporal and spatial variations of MP occurrence do (and will) occur. To further improve the estimations of the role of MPs as vectors for HOC transfer into biota under varying MP concentrations and environmental conditions, it is important to identify and understand the governing processes. Here, we explore HOC sorption to and desorption from MPs and the underlying principles for their interactions. We discuss intrinsic and extrinsic parameters influencing these processes and focus on the importance of the exposure route for diffusive mass transfer. Also, we outline research needed to fill knowledge gaps and improve model-based calculations of MP-facilitated HOC transfer in the environment. Integr Environ Assess Manag 2017;13:488-493. © 2017 SETAC.

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Passive Sampling in Regulatory Chemical Monitoring of Nonpolar Organic Compounds in the Aquatic Environment

Cited by 143 publications

References 137 publications

The Coastal Observing System for Northern and Arctic Seas (COSYNA)

The Coastal Observing System for Northern and Arctic Seas (COSYNA)

Using performance reference compounds to compare mass transfer calibration methodologies in passive samplers deployed in the water column

Microplastics as vectors for environmental contaminants: Exploring sorption, desorption, and transfer to biota

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