Literature DB >> 12924580

An overview of the use of quantitative structure-activity relationships for ranking and prioritizing large chemical inventories for environmental risk assessments.

Christine L Russom1, Roger L Breton, John D Walker, Steven P Bradbury.   

Abstract

Ecological risk assessments for chemical stressors are used to establish linkages between likely exposure concentrations and adverse effects to ecological receptors. At times, it is useful to conduct screening risk assessments to assist in prioritizing or ranking chemicals on the basis of potential hazard and exposure assessment parameters. Ranking of large chemical inventories can provide evidence for focusing research and/or cleanup efforts on specific chemicals of concern. Because of financial and time constraints, data gaps exist, and the risk assessor is left with decisions on which models to use to estimate the parameter of concern. In this review, several methods are presented for using quantitative structure-activity relationships (QSARs) in conducting hazard screening or screening-level risk assessments. The ranking methods described include those related to current regulatory issues associated with chemical inventories from Canada, Europe, and the United States and an example of a screening-level risk assessment conducted on chemicals associated with a watershed in the midwest region of the United States.

Mesh:

Substances:

Year:  2003        PMID: 12924580     DOI: 10.1897/01-194

Source DB:  PubMed          Journal:  Environ Toxicol Chem        ISSN: 0730-7268            Impact factor:   3.742


  2 in total

Review 1.  Evaluation of artificial intelligence based models for chemical biodegradability prediction.

Authors:  James R Baker; Dragan Gamberger; James R Mihelcic; Aleksandar Sabljić
Journal:  Molecules       Date:  2004-12-31       Impact factor: 4.411

2.  Prediction of the Fate of Organic Compounds in the Environment From Their Molecular Properties: A Review.

Authors:  Laure Mamy; Dominique Patureau; Enrique Barriuso; Carole Bedos; Fabienne Bessac; Xavier Louchart; Fabrice Martin-Laurent; Cecile Miege; Pierre Benoit
Journal:  Crit Rev Environ Sci Technol       Date:  2015-06-18       Impact factor: 12.561

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.