Liu Longfei, Che Naiju, Wang Shengsen, Liu Yanli, Li Chengliang
National Engineering Laboratory for Efficient Utilization of Soil and Fertilizer Resources, College of Resources and Environment, Shandong Agricultural University, Tai'an 271018, China.
College of Environmental Science and Engineering, Yangzhou University, Yangzhou 225127, China.
ACS Omega. 2021 Mar 4;6(10):7073-7085. doi: 10.1021/acsomega.1c00044. eCollection 2021 Mar 16.
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.
全氟辛酸(PFOA)因其稳定的物理和化学性质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,采用微泡模板法制备了铜纳米颗粒和氟改性石墨烯气凝胶(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。这些显著的改善被认为得益于配体交换反应以及疏水和F-F相互作用。以乙醇为解吸溶剂,经过10次吸附-解吸后,Cu/F-rGA的再生率保持在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,在高温下倾向于垂直。连接到每个吸附位点的PFOA分子数为0.53至1.41,PFOA在Cu/F-rGA上的吸附层数在1.63至2.51之间。与响应面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环保的替代策略,可从水溶液中去除PFOA。