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首页> 外文期刊>Journal of Hazardous Materials >Novel magnetic amine functionalized carbon nanotube/metal-organic framework nanocomposites: From green ultrasound-assisted synthesis to detailed selective pollutant removal modelling from binary systems
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Novel magnetic amine functionalized carbon nanotube/metal-organic framework nanocomposites: From green ultrasound-assisted synthesis to detailed selective pollutant removal modelling from binary systems

机译:新型磁性胺官能化的碳纳米管/金属有机骨架纳米复合材料:从绿色超声辅助合成到二元系统的详细选择性污染物去除模型

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摘要

Herein, magnetic amine functionalized carbon nanotube (NH2-CNT/Fe2O3)-zeolitic imidazolate framework-8 (ZIF-8) nanocomposites (NH2-CNT/Fe2O3/ZIF-8: NCFZ) with different amounts of NH2-CNT/Fe2O3 (5, 10, and 15 wt% denoted as NCFZ-5, NCFZ-10, and NCFZ-15) were synthesized. The synthesized nanomaterials including ZIF-8, Fe2O3, CNT/Fe2O3, NH2-CNT/Fe2O3, CNT/Fe2O3/ZIF-8, NCFZ-5, NCFZ-10, and NCFZ-15 were characterized using BET, TEM, XRD, SEM, FTIR, VSM and zeta potential. The synthesized nanomaterials were applied for selective removing cationic dyes (MG: Malachite Green and RhB: Rhodamine B) from a binary system. Response surface methodology (RSM) and artificial neural networks (ANN) were used for optimizing dye removal. The BET data showed that the surface area of nanocomposite (NH2-CNT/Fe2O3/ZIF-8: 1659 m(2)/g) was higher than that of pure ZIF-8 (1485 m(2)/g). Contaminant removal obeyed the Freundlich isotherm and pseudo second order kinetic models. The optimum adsorption condition predicted by RSM was pH = 6, dye concentration = 25 mg/L, Dosage = 0.004 g and at time = 145 min. The outputs of ANN model well overlapped with the experimental data. The binary system dye removal data indicated the synthesized nanocomposite with recycling and regeneration ability could be used for treating wastewater.
机译:在此,磁性胺官能化的碳纳米管(NH2-CNT / Fe2O3)-沸石咪唑盐骨架8(ZIF-8)纳米复合材料(NH2-CNT / Fe2O3 / ZIF-8:NCFZ)与不同量的NH2-CNT / Fe2O3(5合成了10重量%和15重量%的NCFZ-5,NCFZ-10和NCFZ-15)。使用BET,TEM,XRD,SEM对ZIF-8,Fe2O3,CNT / Fe2O3,NH2-CNT / Fe2O3,CNT / Fe2O3 / ZIF-8,NCFZ-5,NCFZ-10和NCFZ-15等纳米材料进行了表征。 ,FTIR,VSM和zeta电位。将合成的纳米材料应用于从二元体系中选择性去除阳离子染料(MG:孔雀石绿和RhB:若丹明B)。响应面方法(RSM)和人工神经网络(ANN)用于优化染料去除。 BET数据显示,纳米复合材料的表面积(NH2-CNT / Fe2O3 / ZIF-8:1659 m(2)/ g)比纯ZIF-8的表面积(1485 m(2)/ g)高。去除污染物遵循Freundlich等温线和伪二级动力学模型。 RSM预测的最佳吸附条件为pH = 6,染料浓度= 25 mg / L,剂量= 0.004 g,时间= 145分钟。 ANN模型的输出与实验数据很好地重叠。二元体系脱色数据表明,具有回收利用和再生能力的合成纳米复合材料可用于废水处理。

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