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Selective extraction of dimethoate from cucumber samples by use of molecularly imprinted microspheres

机译:使用分子印迹微球从黄瓜样品中选择性提取乐果

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摘要

Molecularly imprinted polymers for dimethoate recognition were synthesized by the precipitation polymerization technique using methyl methacrylate (MMA) as the functional monomer and ethylene glycol dimethacrylate (EGDMA) as the cross-linker. The morphology, adsorption and recognition properties were investigated by scanning electron microscopy (SEM), static adsorption test, and competitive adsorption test. To obtain the best selectivity and binding performance, the synthesis and adsorption conditions of MIPs were optimized through single factor experiments. Under the optimized conditions, the resultant polymers exhibited uniform size, satisfactory binding capacity and significant selectivity. Furthermore, the imprinted polymers were successfully applied as a specific solid-phase extractants combined with high performance liquid chromatography (HPLC) for determination of dimethoate residues in the cucumber samples. The average recoveries of three spiked samples ranged from 78.5% to 87.9% with the relative standard deviations (RSDs) less than 4.4% and the limit of detection (LOD) obtained for dimethoate as low as 2.3 μg/mL.
机译:以甲基丙烯酸甲酯(MMA)为功能单体,以乙二醇二甲基丙烯酸酯(EGDMA)为交联剂,通过沉淀聚合技术合成了用于识别乐果的分子印迹聚合物。通过扫描电子显微镜(SEM),静态吸附测试和竞争性吸附测试研究了形态,吸附和识别特性。为了获得最佳的选择性和结合性能,通过单因素实验对MIP的合成和吸附条件进行了优化。在最佳条件下,所得聚合物显示出均一的尺寸,令人满意的结合能力和明显的选择性。此外,印迹聚合物成功地用作特定固相萃取剂,并与高效液相色谱(HPLC)结合用于测定黄瓜样品中的乐果残留。三个加标样品的平均回收率在78.5%至87.9%之间,相对标准偏差(RSD)小于4.4%,乐果的检出限(LOD)低至2.3μg/ mL。

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