Literature DB >> 16646468

Screening level risk assessment model for chemical fate and effects in the environment.

Jon A Arnot1, Don Mackay, Eva Webster, Jeanette M Southwood.   

Abstract

A screening level risk assessment model is developed and described to assess and prioritize chemicals by estimating environmental fate and transport, bioaccumulation, and exposure to humans and wildlife for a unit emission rate. The most sensitive risk endpoint is identified and a critical emission rate is then calculated as a result of that endpoint being reached. Finally, this estimated critical emission rate is compared with the estimated actual emission rate as a risk assessment factor. This "back-tracking" process avoids the use of highly uncertain emission rate data as model input. The application of the model is demonstrated in detail for three diverse chemicals and in less detail for a group of 70 chemicals drawn from the Canadian Domestic Substances List. The simple Level II and the more complex Level III fate calculations are used to "bin" substances into categories of similar probable risk. The essential role of the model is to synthesize information on chemical and environmental properties within a consistent mass balance framework to yield an overall estimate of screening level risk with respect to the defined endpoint. The approach may be useful to identify and prioritize those chemicals of commerce that are of greatest potential concern and require more comprehensive modeling and monitoring evaluations in actual regional environments and food webs.

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Year:  2006        PMID: 16646468     DOI: 10.1021/es0514085

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  15 in total

1.  A Model for Risk-Based Screening and Prioritization of Human Exposure to Chemicals from Near-Field Sources.

Authors:  Li Li; John N Westgate; Lauren Hughes; Xianming Zhang; Babak Givehchi; Liisa Toose; James M Armitage; Frank Wania; Peter Egeghy; Jon A Arnot
Journal:  Environ Sci Technol       Date:  2018-11-27       Impact factor: 9.028

2.  Prioritizing organic chemicals for long-term air monitoring by using empirical monitoring data--application to data from the Swedish screening program.

Authors:  Anna Palm Cousins; Eva Brorström-Lundén; Britta Hedlund
Journal:  Environ Monit Assess       Date:  2011-09-08       Impact factor: 2.513

3.  Consensus Modeling of Median Chemical Intake for the U.S. Population Based on Predictions of Exposure Pathways.

Authors:  Caroline L Ring; Jon A Arnot; Deborah H Bennett; Peter P Egeghy; Peter Fantke; Lei Huang; Kristin K Isaacs; Olivier Jolliet; Katherine A Phillips; Paul S Price; Hyeong-Moo Shin; John N Westgate; R Woodrow Setzer; John F Wambaugh
Journal:  Environ Sci Technol       Date:  2018-12-24       Impact factor: 9.028

4.  Rapid experimental measurements of physicochemical properties to inform models and testing.

Authors:  Chantel I Nicolas; Kamel Mansouri; Katherine A Phillips; Christopher M Grulke; Ann M Richard; Antony J Williams; James Rabinowitz; Kristin K Isaacs; Alice Yau; John F Wambaugh
Journal:  Sci Total Environ       Date:  2018-05-02       Impact factor: 7.963

5.  Uncovering global-scale risks from commercial chemicals in air.

Authors:  Qifan Liu; Li Li; Xianming Zhang; Amandeep Saini; Wenlong Li; Hayley Hung; Chunyan Hao; Kun Li; Patrick Lee; Jeremy J B Wentzell; Chunyan Huo; Shao-Meng Li; Tom Harner; John Liggio
Journal:  Nature       Date:  2021-12-15       Impact factor: 49.962

6.  Bayesian inference of chemical exposures from NHANES urine biomonitoring data.

Authors:  Zachary Stanfield; R Woodrow Setzer; Victoria Hull; Risa R Sayre; Kristin K Isaacs; John F Wambaugh
Journal:  J Expo Sci Environ Epidemiol       Date:  2022-08-17       Impact factor: 6.371

7.  Comparison of modeling approaches to prioritize chemicals based on estimates of exposure and exposure potential.

Authors:  Jade Mitchell; Jon A Arnot; Olivier Jolliet; Panos G Georgopoulos; Sastry Isukapalli; Surajit Dasgupta; Muhilan Pandian; John Wambaugh; Peter Egeghy; Elaine A Cohen Hubal; Daniel A Vallero
Journal:  Sci Total Environ       Date:  2013-05-22       Impact factor: 7.963

8.  A framework for an alternatives assessment dashboard for evaluating chemical alternatives applied to flame retardants for electronic applications.

Authors:  Todd M Martin
Journal:  Clean Technol Environ Policy       Date:  2017-05-01       Impact factor: 3.636

9.  High-throughput in-silico prediction of ionization equilibria for pharmacokinetic modeling.

Authors:  Cory L Strope; Kamel Mansouri; Harvey J Clewell; James R Rabinowitz; Caroline Stevens; John F Wambaugh
Journal:  Sci Total Environ       Date:  2017-09-29       Impact factor: 7.963

10.  Incorporating High-Throughput Exposure Predictions With Dosimetry-Adjusted In Vitro Bioactivity to Inform Chemical Toxicity Testing.

Authors:  Barbara A Wetmore; John F Wambaugh; Brittany Allen; Stephen S Ferguson; Mark A Sochaski; R Woodrow Setzer; Keith A Houck; Cory L Strope; Katherine Cantwell; Richard S Judson; Edward LeCluyse; Harvey J Clewell; Russell S Thomas; Melvin E Andersen
Journal:  Toxicol Sci       Date:  2015-08-06       Impact factor: 4.849

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