首页> 外文期刊>International journal of environmental analytical chemistry >Fabrication of magnetic zeolitic imidazolate framework-7 supported graphene oxide for the extraction of fungicides from environmental water and soil samples
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Fabrication of magnetic zeolitic imidazolate framework-7 supported graphene oxide for the extraction of fungicides from environmental water and soil samples

机译:磁共氮酰亚胺酶框架-7负载的石墨烯氧化物的制备用于从环境水和土壤样品中提取杀菌剂

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In this study, we report a facile method to prepare magnetic zeolitic imidazolate framework-7@graphene oxide (mag-ZIF-7@GO) composites with the assistance of polydopamine. Moreover, their potential for extracting fungicides from environmental water and soil samples is evaluated. Combining ZIF units and GO layers synergistically enhances the preconcentration of fungicides. A sensitive magnetic solid-phase extraction method based on mag-ZIF-7@GO coupled to LC-MS is developed to determine seven fungicides (pyrimethanil, triadimenol, flutriafol, tebuconazole, hexaconazole, diniconazole and bitertanol) as a function of optimised salt concentration, pH, extraction time, and desorption time. Under optimal conditions, the method exhibits good linearity, repeatability, and reproducibility. The limits of detection and limits of quantification for the seven fungicides are 0.58?2.38?ng/L and 1.95?7.94?ng/L, respectively. Furthermore, the proposed method is applied to determine trace fungicides in environmental water and soil samples, with recoveries of 81.8?96.7%, 87.2?96.3%, and 82.4?93.4% for pond water, river water, and soil, respectively. Therefore, this method has great potential for trace analysis of pollutants in complex environmental matrices.
机译:在该研究中,我们报告了一种容易制备磁共沸石咪唑酯骨架-7 @石墨烯(Mag-Zif-7 @ Go)复合材料的容易方法,在多碳胺的帮助下。此外,评估了它们从环境水和土壤样品中提取杀菌剂的可能性。结合ZIF单位和GO层协同增强杀真菌剂的前浓缩。基于MAG-ZIF-7的敏感磁相提取方法偶联于LC-MS,以确定七种杀菌剂(吡米甲基醇,三唑烷醇,氟吡吡福,Tebuconazole,六酰基唑,大胆碱和泰尔特兰醇)作为优化的盐浓度,pH,提取时间和解吸时间。在最佳条件下,该方法表现出良好的线性,可重复性和再现性。七种杀菌剂的定量的检测和限制分别为0.58≤2.38Ω,分别为1.95?7.94?Ng / L.此外,应用该方法以确定环境水和土壤样品中的痕量杀菌剂,其回收率为81.8〜96.7%,87.2〜96.3%,分别为池塘水,河水和土壤93.4%。因此,该方法具有巨大的追踪复杂环境基质污染物的追踪。

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