Geyer H J, Scheunert I, Brüggemann R, Steinberg C, Korte F, Kettrup A
Institut für Okologische Chemie, Gesellschaft für Strahlen- und Umweltforschung, Neuherberg, FRG.
Sci Total Environ. 1991 Dec;109-110:387-94. doi: 10.1016/0048-9697(91)90193-i.
Prediction of the bioconcentration of organic chemicals from water by aquatic organisms has important applications in the management of hazardous chemicals. This study gives a compilation of bioconcentration factors on a wet weight basis (BCFw) of 52 organic chemicals by Daphnia magna from aqueous solution. The bioconcentration factors for the chemicals in Daphnia were successfully correlated with their n-octanol/water partition coefficients (log Kow) using a linear regression analysis. In addition to the ordinary least-square regression technique, the geometric mean regression technique is also used because this takes into account deviations in Kow values. Both results show that the Kow value of a chemical is a good predictor of the BCF in Daphnia. The BCF-Kow relationships between Daphnia, algae (Chlorella), and mussels (Mytilus edulis) are compared with each other.
通过水生生物预测水中有机化学品的生物富集在危险化学品管理中具有重要应用。本研究汇编了大型溞从水溶液中对52种有机化学品基于湿重的生物富集系数(BCFw)。使用线性回归分析成功地将大型溞中化学品的生物富集系数与其正辛醇/水分配系数(log Kow)相关联。除了普通最小二乘回归技术外,还使用了几何平均回归技术,因为该技术考虑了Kow值的偏差。两种结果均表明,化学品的Kow值是大型溞中BCF的良好预测指标。比较了大型溞、藻类(小球藻)和贻贝(紫贻贝)之间的BCF-Kow关系。