Papiernik Sharon K, Koskinen William C, Cox Lucia, Rice Pamela J, Clay Sharon A, Werdin-Pfisterer Nancy R, Norberg Kristen A
North Central Soil Conservation Research Laboratory, Agricultural Research Service, U.S. Department of Agriculture, Morris, MN 56267, USA.
J Agric Food Chem. 2006 Oct 18;54(21):8163-70. doi: 10.1021/jf061670c.
Sorption-desorption is one of the most important processes affecting the leaching of pesticides through soil because it controls the amount of pesticide available for transport. Subsurface soil properties can significantly affect pesticide transport and the potential for groundwater contamination. This research characterized the sorption-desorption of imidacloprid (1-[(6-chloro-3-pyridinyl)-methyl]-N-nitro-2-imidazolidinimine) and three of its metabolites, 1-[(6-chloro-3-pyridinyl)methyl]-2-imidazolidinone (imidacloprid-urea), 1-[(6-chloro-3-pyridinyl)methyl]-4,5-dihydro-1H-imidazol-2-amine (imidacloprid-guanidine), and 1-[(6-chloro-3-pyridinyl)methyl]-1H-imidazol-2-amine (imidacloprid-guanidine-olefin), as a function of changing soil properties with depth in two profiles extending from the surface to a depth of 1.8 or 8 m. Sorption of each compound was highly variable and hysteretic in all cases. Normalizing the sorption coefficients (K(f)) to the organic carbon or the clay content of the soil did not reduce the variability in sorption coefficients for any compound. These results illustrate the importance of evaluation of the sorption data used to predict potential mobility. Understanding the variability of soil properties and processes as a function of depth is necessary for accurate prediction of pesticide dissipation.
吸附-解吸是影响农药在土壤中淋溶的最重要过程之一,因为它控制着可用于迁移的农药量。土壤次表层性质会显著影响农药迁移以及地下水污染的可能性。本研究对吡虫啉(1-[(6-氯-3-吡啶基)-甲基]-N-硝基-2-咪唑烷亚胺)及其三种代谢物,即1-[(6-氯-3-吡啶基)甲基]-2-咪唑烷酮(吡虫啉-脲)、1-[(6-氯-3-吡啶基)甲基]-4,5-二氢-1H-咪唑-2-胺(吡虫啉-胍)和1-[(6-氯-3-吡啶基)甲基]-1H-咪唑-2-胺(吡虫啉-胍-烯烃)的吸附-解吸特性进行了表征,该特性是两个从地表延伸至1.8米或8米深度的剖面中随深度变化的土壤性质的函数。在所有情况下,每种化合物的吸附都具有高度变异性且存在滞后现象。将吸附系数(K(f))归一化至土壤有机碳或粘土含量,并未降低任何化合物吸附系数的变异性。这些结果说明了评估用于预测潜在迁移性的吸附数据的重要性。了解土壤性质和过程随深度的变异性对于准确预测农药消散是必要的。