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Prediction of the temperature dependency of Henry's law constant using poly-parameter linear free energy relationships

机译:利用多参数线性自由能关系预测亨利定律的温度依赖性

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The ability to predict the temperature dependence of air/water partitioning is important for the environmental fate modeling of organic pollutants. Here, literature data for the temperature dependence of air/water partitioning of some 200 compounds have been used to derive poly-parameter linear free energy relationships (pp-LFER) for predicting air/water partition coefficients at temperatures between 0 and 45 degrees C. The compounds used for calibrating the pp-LFERs span a range of almost 10 orders of magnitude in the partition constants and they cover a large variety of functional groups. Very good fits (r(2) > 0.99) were obtained at all temperatures. Hence, these pp-LFERs should serve as a valuable tool for integrating the temperature dependence of air/water partitioning into fate modeling of organic compounds.
机译:预测空气/水分配对温度的依赖性的能力对于有机污染物的环境归宿建模非常重要。在这里,有关约200种化合物的空气/水分配的温度依赖性的文献数据已用于推导多参数线性自由能关系(pp-LFER),以预测温度在0到45摄氏度之间的空气/水分配系数。用于校准pp-LFER的化合物的分配常数范围几乎为10个数量级,并且它们涵盖了各种各样的官能团。在所有温度下均获得很好的拟合度(r(2)> 0.99)。因此,这些pp-LFER应该作为将空气/水分配的温度依赖性整合到有机化合物的最终模型中的重要工具。

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