Abstract
This study was undertaken to test the ability of the molecular connectivity model to predict the soil sorption coefficients of polar organic compounds. Quantitative models, based on the first- and second-order molecular connectivity indices, were developed for estimating soil sorption coefficients of 65 polar compounds arranged into four classes by their functional groups: acetanilides, amides, dinitroanilines, and triazoles.
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