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Magnetite particles covered by amino-functionalized poly(dimethylsiloxane) network for copper(II) adsorption from aqueous solution
Journal of Sol-Gel Science and Technology ( IF 2.3 ) Pub Date : 2019-10-24 , DOI: 10.1007/s10971-019-05154-5
Mariana de Rezende Bonesio , Fábio Luiz Pissetti

An amino-functionalized poly(dimethylsiloxane) (PDMS) were obtained over magnetite particles. The materials obtained were characterized by Fourier transform infrared spectroscopy (ATR-FTIR), X-ray Diffraction (XRD), Scanning Electron Microscopy (SEM), and thermogravimetric analysis (TGA). ATR-FTIR spectra showed adsorption bands attributed to the amino-functionalized polymeric network and the Fe–O bonds of magnetite, while XRD patterns indicated that magnetite was covered with an amorphous material, the PDMS polymeric network. Thermal analysis showed that the obtained materials were thermally stable up to 300 °C. SEM micrographs revealed that the polymer network coated the magnetite particles, since the surface roughness decrease. Adsorption of Cu(II) was conducted in aqueous medium at different pH values, contact times, and metal ion concentrations. The adsorption capacities obtained were of 0.56, 0.44, and 0.41 mmol L−1 for the materials with a decreasing content of amino group, respectively. Nonlinear kinetic model equations were applied, showing that the materials with lower and higher content of APTMS was described by chemisorption model, while that the intermediary content by a pseudo-second-order fit. The experimental data of adsorption isotherm were studied by various models and Sips model exhibited the best fit for all materials.



中文翻译:

氨基官能化的聚(二甲基硅氧烷)网络覆盖的磁铁矿颗粒,用于从水溶液中吸附铜(II)

在磁铁矿颗粒上获得了氨基官能化的聚(二甲基硅氧烷)(PDMS)。通过傅立叶变换红外光谱(ATR-FTIR),X射线衍射(XRD),扫描电子显微镜(SEM)和热重分析(TGA)对获得的材料进行表征。ATR-FTIR光谱显示出吸附带归因于氨基官能化的聚合物网络和磁铁矿的Fe-O键,而XRD图谱表明磁铁矿被非晶态材料PDMS聚合物网络覆盖。热分析表明,所获得的材料在高达300℃的温度下是热稳定的。SEM显微照片显示,由于表面粗糙度降低,聚合物网络覆盖了磁铁矿颗粒。Cu(II)的吸附是在水性介质中在不同的pH值,接触时间,和金属离子浓度。获得的吸附容量为0.56、0.44和0.41 mmol L-1分别表示氨基含量降低的材料。应用非线性动力学模型方程,表明通过化学吸附模型描述了APTMS含量较低和较高的材料,而通过伪二级拟合描述了中间含量。通过各种模型研究了吸附等温线的实验数据,Sips模型显示了最适合所有材料的模型。

更新日期:2020-04-23
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