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Prediction of the Adsorption of lonizable Pesticides in Soils

机译:土壤中可离子化农药吸附的预测

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Adsorption of six acidic and four basic pesticides was measured in nine temperate soils. In general, sorption of acids was weak as compared to bases and followed the order dicamba < metsulfuron-methyl < fluazifop-P < metribuzin < 2,4-D < flupyrsulfuron-methyl < fluroxypyr < terbutryn < pirimicarb < fenpropimorph. Adsorption was negatively correlated with soil pH and positively correlated with organic carbon content. Statistical analysis against a wide range of soil and pesticide descriptors was used to identify the best combination of properties that describes the variation in adsorption. A regression equation including Log D (lipophilicity corrected for pH), the soil organic carbon content, and a pesticide descriptor (related to the van der Waals volume) was selected to predict the adsorption of acids (r~2 = 72.1% on an independent dataset). The behavior of bases was more complex, and approaches specific to each compound seem to be required.
机译:在九种温带土壤中测定了六种酸性和四种基本农药的吸附。通常,与碱相比,酸的吸收较弱,并且遵循麦草畏<甲磺隆甲基<氟哌氟丙酸-P <甲曲嗪<2,4-D <氟嘧磺隆甲基<氟草烟<丁丁<吡虫威<苯丙草胺。吸附与土壤pH呈负相关,与有机碳含量呈正相关。通过对各种土壤和农药描述符进行统计分析,可以确定描述吸附变化的特性的最佳组合。选择一个回归方程,包括Log D(亲脂性经pH校正),土壤有机碳含量和农药描述符(与范德华量有关),以预测酸的吸附(r〜2 = 72.1%,独立计算)。数据集)。碱基的行为更为复杂,似乎需要针对每种化合物的特定方法。

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