Quantitative Structure - Activity Relationships QSAR for Bioconcentration

Quantitative Structure-Activity Relationships (QSAR) for Bioconcentration 

Since it is impossible to test all these available chemicals and newly introduced substances with long-term testing procedures, it would be useful to be 

Jager and Hamers [84 b] concluded that this equation as advised in TGD is questionable and may result in serious underestimation of the BCF of chemicals which are not metaboHzed in fish. For the purpose of initial risk assessment they proposed a BCF -i- growth model which can be simpHfied to the straight line, with a maximum BCF value reached at log Kqw = 6 [84b]. 

Furthermore, it was argued by Yen et al. [85],Gobas and Schrap [86],Schwartz [84 c] and Geyer et al. [87,88] that the main reason for the low BCF values of super-hydrophobic chemicals was because they were tested at relatively high concentrations in the water which were some orders of magnitude higher than their water solubility. This indicates that aU these super-hydrophobic chemicals in the 

Using linear regression analysis the following regression Eq. (26) was obtained  

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The bioaccumulation of a substance into an organism is not an adverse effect hazard in itself. Bioconcentration and bioaccumulation may lead to an increase in body burden which may cause toxic effects due to direct and/or indirect exposure. Bioaccumulative substances characterized by high persistence and toxicity, negligible metabolism and a log ATow between 5 and 8 may represent a concern when widely dispersed in the environment. The potential of a substance to bioaccumulate is primarily related to its lipophilicity. A surrogate measure of this quality is the n-octanol - water partition coefficient (/fow), which is correlated with bioconcentration potential. Therefore, /fow values are normally used as predictors in quantitative structure - activity relationships (QSARs) for bioconcentration factors (BCFs) of organic non-polar substances. 

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