Document Detail


Development of a chronic fish toxicity model for predicting sub-lethal NOEC values for non-polar narcotics.
MedLine Citation:
PMID:  24635482     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
To comply with the REACH (Registration, Evaluation, Authorisation and restriction of Chemicals) regulations, the generation of chronic fish toxicity data is required for chemicals produced or imported within or into the EU in quantities greater than 100 tonnes per year. This comes at a great cost to industry and consumers alike and requires the sacrifice of many vertebrates. In acknowledgment of these issues the REACH regulations encourage the use of non-testing methods (NTM). These include read-across, weight-of-evidence and QSAR (quantitative structure-activity relationship) techniques. There are many QSAR tools available to generate predictive values for a number of physico-chemical properties, as well as human and environmental health end points; however, close analysis of the currently available chronic fish models identified room for improvement in both the selection of data used and in its application in model creation. In light of this a model was developed using only sub-lethal no-observed-effect concentration (NOEC) end-point data according to best practice QSAR development. Only the lowest value was taken for each compound, in line with the conservative approach taken by the European Chemicals Agency (ECHA). The model developed meets the Organisation for Economic Co-operation and Development (OECD) principles, has strong internal and external validation statistics, and can reliably predict sub-lethal chronic NOEC values for fish within its defined applicability domain.
Authors:
T J Austin; C V Eadsforth
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  SAR and QSAR in environmental research     Volume:  25     ISSN:  1029-046X     ISO Abbreviation:  SAR QSAR Environ Res     Publication Date:  2014 Feb 
Date Detail:
Created Date:  2014-03-18     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9440156     Medline TA:  SAR QSAR Environ Res     Country:  England    
Other Details:
Languages:  eng     Pagination:  147-60     Citation Subset:  IM    
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