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Identification of Pesticide Residues and Prediction of Their Fate in Agricultural Soil
Water, Air, & Soil Pollution ( IF 3.8 ) Pub Date : 2020-06-01 , DOI: 10.1007/s11270-020-04619-6
Mohamed H. EL-Saeid , Abdulaziz G. Alghamdi

Fourteen pesticides were screened and determined through quick, easy, cheap, effective, rugged, and safe (QuEChERS) extraction process combined with GC-MS/MS in arid agriculture soil. The aims of the current investigation were to account the occurrence of organochlorine (OCP) and organophosphates (OPP) pesticide residues as well as other groups of pyrethroids (PYRs), carbamates, and biopesticides using a combined of QuEChERS and GC-MS/MS techniques in agriculture soils at Al-Kharj region, Saudi Arabia, and to investigate correlation between pesticide losses in soils and some physicochemical characteristics of pesticides including an octanol-water coefficient partition (Kow) and the vapor pressure (Vp). Prediction of pesticide fate by considering both pesticide and soil physio-chemical properties will facilitate the management of pesticide application and minimize the hazards of environmental pollution. The fate of pesticide residue in soils is generally controlled by soil/air exchange, water interaction, and biodegradation. The results indicated that 14 pesticide residues were measured in collected samples of various soils, spinosad, chlorpyrifos methyl, dimethoate, chlorpyrifos, lindane (γ-HCH), permethrin, and methomyl which were the most abundant sources of contamination in the studied region. p,p-DDT, o,p-DDT, bifenthion, β-cyfluthrin, and methidathion were less commonly detected. Single parameter least squares regression equations (sp-LSRE) for Vp and Kow against the loss of each pesticide residue showed a significant change in concentration levels (p < 0.05) between the two seasons. The results showed that vapor pressure and octanol-water partition coefficient data are not enough to model pesticide residue losses in arid low organic carbon soil. More soil-related data is needed to describe the dissipation mechanisms of these pesticide residues in the region.

中文翻译:

农业土壤中农药残留的鉴定及其命运的预测

通过快速,简便,廉价,有效,坚固耐用且安全的提取方法(QuEChERS)结合GC-MS / MS在干旱农业土壤中筛选和测定了14种农药。当前研究的目的是结合使用QuEChERS和GC-MS / MS技术来计算有机氯(OCP)和有机磷酸盐(OPP)农药残留以及拟除虫菊酯(PYR),氨基甲酸酯和生物农药的其他种类的发生在沙特阿拉伯Al-Kharj地区的农业土壤中进行研究,并研究土壤中农药损失与农药的一些理化特性之间的相关性,包括辛醇-水系数分配(K ow)和蒸汽压(Vp)。同时考虑农药和土壤的理化特性来预测农药的命运将有助于农药的管理,并最大程度地减少环境污染的危害。土壤中农药残留的命运通常由土壤/空气交换,水相互作用和生物降解来控制。结果表明,在所研究的土壤中,多杀菌素,甲基毒死spin,乐果,毒死rif,林丹(γ-HCH),苄氯菊酯和灭多威的收集样品中共测定了14种农药残留,这是研究区域中最丰富的污染源。p,p-DDT,o,p-DDT,联苯硫磷,β-氟氰菊酯和甲硫磷较少见。V p和K ow的单参数最小二乘回归方程(sp-LSRE)每种农药残留的损失显示出 两个季节之间浓度水平的显着变化(p <0.05)。结果表明,蒸汽压和辛醇-水分配系数数据不足以模拟干旱低有机碳土壤中农药残留的损失。需要更多与土壤有关的数据来描述这些农药残留在该地区的消散机理。
更新日期:2020-06-01
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