Bioaccumulation assessment using predictive approaches

Nichols, John W., Bonnell, Mark, Dimitrov, Sabcho D., Escher, Beate I., Han, Xing and Kramer, Nynke I. (2009) Bioaccumulation assessment using predictive approaches. Integrated Environmental Assessment and Management, 5 4: 577-597. doi:10.1897/IEAM-2008-088.1

Author Nichols, John W.
Bonnell, Mark
Dimitrov, Sabcho D.
Escher, Beate I.
Han, Xing
Kramer, Nynke I.
Title Bioaccumulation assessment using predictive approaches
Journal name Integrated Environmental Assessment and Management   Check publisher's open access policy
ISSN 1551-3777
Publication date 2009
Sub-type Article (original research)
DOI 10.1897/IEAM-2008-088.1
Volume 5
Issue 4
Start page 577
End page 597
Total pages 21
Place of publication Pensacola, FL
Publisher Society of Environmental Toxicology and Chemistry (SETAC)
Language eng
Subject 05 Environmental Sciences
0502 Environmental Science and Management
Abstract This paper represents 1 of 9 papers generated from a SETAC Pellston Workshop entitled "Science-Based Guidance and Framework for the Evaluation and Identification of PBTs and POPs," (January 2008, Florida, USA). The workshop objectives were to develop guidance and recommendations on the evaluation of substances fulfilling PBT and POP criteria, using scientific information such as experimental and monitoring data, and computer models. Mandated efforts to assess chemicals for their potential to bioaccumulate within the environment are increasingly moving into the realm of data inadequacy. Consequently, there is an increasing reliance on predictive tools to complete regulatory requirements in a timely and cost-effective manner. The kinetic processes of absorption, distribution, metabolism, and elimination (ADME) determine the extent to which chemicals accumulate in fish and other biota. Current mathematical models of bioaccumulation implicitly or explicitly consider these ADME processes, but there is a lack of data needed to specify critical model input parameters. This is particularly true for compounds that are metabolized, exhibit restricted diffusion across biological membranes, or do not partition simply to tissue lipid. Here we discuss the potential of in vitro test systems to provide needed data for bioaccumulation modeling efforts. Recent studies demonstrate the utility of these systems and provide a "proof of concept" for the prediction models. Computational methods that predict ADME processes from an evaluation of chemical structure are also described. Most regulatory agencies perform bioaccumulation assessments using a weight-of-evidence approach. A strategy is presented for incorporating predictive methods into this approach. To implement this strategy it is important to understand the "domain of applicability" of both in vitro and structure-based approaches, and the context in which they are applied.
Keyword Environment assessment
Environment management
Q-Index Code C1
Q-Index Status Provisional Code

Document type: Journal Article
Sub-type: Article (original research)
Collections: Excellence in Research Australia (ERA) - Collection
National Research Centre for Environmental Toxicology Publications
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Citation counts: Scopus Citation Count Cited 34 times in Scopus Article | Citations
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Created: Tue, 24 Nov 2009, 16:29:02 EST by Therese Egan on behalf of Faculty Of Health Sciences