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Magnetic Cu-MOFs embedded within graphene oxide nanocomposites for enhanced preconcentration of benzenoid-containing insecticides
Talanta ( IF 6.1 ) Pub Date : 2018-01-04 , DOI: 10.1016/j.talanta.2018.01.004
Xuemei Wang , Xiaomin Ma , Pengfei Huang , Juan Wang , Tongtong Du , Xinzhen Du , Xiaoquan Lu

Hybrid magnetic nanocomposites based on Cu-MOFs, graphene oxide (GO), and Fe3O4 nanoparticles (NPs) were prepared via chemical bonding approach, which GO were used as platforms to load nanostructured Cu-MOFs and Fe3O4 NPs. The composite features both magnetic separation characteristics and high MOFs porosity, making it an excellent adsorbent for magnetic solid-phase extraction (MSPE). The as-synthesized nanocomposites are characterized by XRD, TGA, SEM, TEM, nitrogen adsorption-desorption analysis and FT-IR spectroscopy. The composites are used in MSPE of six aromatic insecticides from various real samples prior to their quantification by HPLC. Amount of adsorbent, extraction times, extraction temperature, desorption times and oscillation rate are optimized. Under the optimal conditions, the method has a relative standard deviations (RSDs) of 1.9–2.7%, and good linearity (correlation coefficients higher than 0.9931). The low LOD and LOQ for six insecticides are found to be 0.30–1.58 μg L-1 and 1.0–5.2 μg L-1, respectively. The RSDs of within batch extraction are 1.6–9.5% and 3.9–12% for batch to batch extraction. The experimental results suggest that the nanocomposites have potential application for removal of hazardous pollutants from effluents.



中文翻译:

嵌入在氧化石墨烯纳米复合材料中的磁性Cu-MOF,可提高含苯类杀虫剂的预浓缩

通过化学键合方法制备了基于Cu-MOFs,氧化石墨烯(GO)和Fe 3 O 4纳米颗粒(NPs)的杂化磁性纳米复合材料,该GO被用作加载纳米结构Cu-MOFs和Fe 3 O 4的平台。NP。该复合材料兼具磁分离特性和高MOF孔隙率,使其成为磁性固相萃取(MSPE)的极佳吸附剂。通过XRD,TGA,SEM,TEM,氮吸附-解吸分析和FT-IR光谱对合成后的纳米复合材料进行表征。在通过HPLC进行定量之前,将这些复合物用于MSPE中来自各种真实样品的六种芳香族杀虫剂。优化了吸附剂的量,萃取时间,萃取温度,脱附时间和振荡速率。在最佳条件下,该方法的相对标准偏差(RSD)为1.9–2.7%,并且线性良好(相关系数高于0.9931)。六种杀虫剂的最低LOD和LOQ为0.30–1.58μgL -1和1.0–5.2μgL -1, 分别。批间提取的批内提取的RSD为1.6–9.5%和3.9–12%。实验结果表明,纳米复合材料具有从废水中去除有害污染物的潜在应用。

更新日期:2018-01-04
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