Document Detail


Predicting concentrations of organic chemicals in fish by using toxicokinetic models.
MedLine Citation:
PMID:  22324398     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Quantification of chemical toxicity continues to be generally based on measured external concentrations. Yet, internal chemical concentrations have been suggested to be a more suitable parameter. To better understand the relationship between the external and internal concentrations of chemicals in fish, and to quantify internal concentrations, we compared three toxicokinetic (TK) models with each other and with literature data of measured concentrations of 39 chemicals. Two one-compartment models, together with the physiologically based toxicokinetic (PBTK) model, in which we improved the treatment of lipids, were used to predict concentrations of organic chemicals in two fish species: rainbow trout (Oncorhynchus mykiss) and fathead minnow (Pimephales promelas). All models predicted the measured internal concentrations in fish within 1 order of magnitude for at least 68% of the chemicals. Furthermore, the PBTK model outperformed the one-compartment models with respect to simulating chemical concentrations in the whole body (at least 88% of internal concentrations were predicted within 1 order of magnitude using the PBTK model). All the models can be used to predict concentrations in different fish species without additional experiments. However, further development of TK models is required for polar, ionizable, and easily biotransformed compounds.
Authors:
Julita Stadnicka; Kristin Schirmer; Roman Ashauer
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2012-02-28
Journal Detail:
Title:  Environmental science & technology     Volume:  46     ISSN:  1520-5851     ISO Abbreviation:  Environ. Sci. Technol.     Publication Date:  2012 Mar 
Date Detail:
Created Date:  2012-03-20     Completed Date:  2012-09-13     Revised Date:  2013-06-26    
Medline Journal Info:
Nlm Unique ID:  0213155     Medline TA:  Environ Sci Technol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  3273-80     Citation Subset:  IM    
Affiliation:
Eawag, Swiss Federal Institute of Aquatic Science and Technology, 8600 Dübendorf, Switzerland. julita.stadnicka@eawag.ch
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MeSH Terms
Descriptor/Qualifier:
Adipose Tissue / metabolism
Animals
Cyprinidae / metabolism*
Kidney / metabolism
Liver / metabolism
Models, Biological*
Muscles / metabolism
Oncorhynchus mykiss / metabolism*
Organic Chemicals / analysis*,  metabolism
Water Pollutants, Chemical / analysis*,  metabolism
Chemical
Reg. No./Substance:
0/Organic Chemicals; 0/Water Pollutants, Chemical
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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