Prediction of the adsorption of ionizable pesticides in soils.
Prediction of the adsorption of ionizable pesticides in soils.
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DOI：
10.1021/jf063048q
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发表时间：
2007-02
影响因子：
6.1
通讯作者：
M. Kah;Colin D. Brown
中科院分区：
文献类型：
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作者：
M. Kah;Colin D. Brown
测定了6种酸性和4种碱性农药在9种温带土壤中的吸附。一般而言，酸的吸附弱于碱，并且遵循麦草畏<甲磺隆-甲基<精吡氟禾草灵<嗪草酮<2，4-D<氟啶磺隆-甲基<氯氟吡氧乙酸<特丁净<抗蚜威<苯酰吗啉的顺序。吸附量与土壤pH值呈负相关，与有机碳含量呈正相关。针对广泛的土壤和农药描述符的统计分析，用于确定最佳的组合特性，描述了吸附的变化。一个回归方程，包括日志D（亲油性校正pH值），土壤有机碳含量，和农药描述符（相关的货车德瓦尔斯体积）被选择来预测吸附的酸（r2=72.1%的一个独立的数据集）。碱基的行为更为复杂，似乎需要针对每种化合物的方法。
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 (r2=72.1% on an independent dataset). The behavior of bases was more complex, and approaches specific to each compound seem to be required.