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Prediction of the Adsorption of Ionizable Pesticides in Soils
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  • 作者:Melanie Kah ; Colin D. Brown
  • 刊名:Journal of Agricultural and Food Chemistry
  • 出版年:2007
  • 出版时间:March 21, 2007
  • 年:2007
  • 卷:55
  • 期:6
  • 页码:2312 - 2322
  • 全文大小:219K
  • 年卷期:v.55,no.6(March 21, 2007)
  • ISSN:1520-5118
文摘
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 correlatedwith organic carbon content. Statistical analysis against a wide range of soil and pesticide descriptorswas used to identify the best combination of properties that describes the variation in adsorption. Aregression 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 adsorptionof acids (r2 = 72.1% on an independent dataset). The behavior of bases was more complex, andapproaches specific to each compound seem to be required.

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