铜纳米粒子的负载和石墨烯气凝胶的F掺杂可增强其对全氟辛酸水溶液的吸附,ACS Omega

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铜纳米粒子的负载和石墨烯气凝胶的F掺杂可增强其对全氟辛酸水溶液的吸附
ACS Omega ( IF 3.7 ) Pub Date : 2021-03-04 , DOI: 10.1021/acsomega.1c00044
Longfei Liu ₁ , Naiju Che ₁ , Shengsen Wang ₂ , Yanli Liu ₁ , Chengliang Li ₁

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全氟辛酸（PFOA）由于其稳定的物理和化学特性而在环境中长期存在，并且对环境和生物系统有害。为了有效地从水溶液中去除PFOA，通过微泡模板法制备了Cu纳米粒子和氟改性的石墨烯气凝胶（Cu / F-rGA）。与未改性的气凝胶（rGA）相比，PFOA在Cu / F-rGA上的吸附速率提高了2.68倍。假定这些显着改善得益于配体交换反应以及疏水和F-F相互作用。吸附-解吸10次后，乙醇作为解吸溶剂，Cu / F-rGA的再生保持73.26％。统计物理模型的拟合结果表明，PFOA在低温下倾向于与吸附位点平行，而在高温下则倾向于垂直。连接到每个吸附位点的PFOA分子的数目为0.53至1.41，并且Cu / F-rGA上PFOA的吸附层的数目为1.63至2.51。与响应面方法和人工神经网络相比，自适应神经模糊推理系统具有更准确的分析和预测结果。这些结果提供了一种有效且可替代的策略，可以以环保的方式从水溶液中去除PFOA。与响应面方法和人工神经网络相比，自适应神经模糊推理系统具有更准确的分析和预测结果。这些结果提供了一种有效且可替代的策略，可以以环保的方式从水溶液中去除PFOA。与响应面方法和人工神经网络相比，自适应神经模糊推理系统具有更准确的分析和预测结果。这些结果提供了一种有效且可替代的策略，可以以环保的方式从水溶液中去除PFOA。

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Copper Nanoparticle Loading and F Doping of Graphene Aerogel Enhance Its Adsorption of Aqueous Perfluorooctanoic Acid

Perfluorooctanoic acid (PFOA) persists in the environment for a long time due to its stable physical and chemical properties, and it is harmful to the environment and biological system. In order to effectively remove PFOA from aqueous solution, Cu nanoparticles and fluorine-modified graphene aerogel (Cu/F-rGA) were fabricated by the microbubble template method. Compared with unmodified aerogels (rGA), the adsorption rate of PFOA on Cu/F-rGA was enhanced 2.68-fold. These significant improvements were assumed to benefit from the ligand exchange reaction and hydrophobic and F–F interactions. The regeneration of Cu/F-rGA maintained 73.26% with ethanol as the desorption solvent after 10 times adsorption–desorption. The fitting results of the statistical physics model showed that PFOA tended to be parallel to the adsorption site at low temperature and perpendicular at high temperature. The number of PFOA molecules connected to each adsorption site was 0.53 to 1.41, and the number of adsorption layers of PFOA on the Cu/F-rGA was between 1.63 and 2.51. Compared with the response surface methodology and artificial neural network, an adaptive neuro-fuzzy inference system had more accurate analysis and prediction results. These results provide an effective and alternative strategy to remove PFOA from aqueous solution with environment-friendly consumption.

更新日期：2021-03-16

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