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首页> 外文期刊>Colloids and Surfaces, A. Physicochemical and Engineering Aspects >Hierarchical porous carbon from semi-coke via a facile preparation method for p-nitrophenol adsorption
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Hierarchical porous carbon from semi-coke via a facile preparation method for p-nitrophenol adsorption

机译:来自半焦的分层多孔碳,通过适用于P-硝基苯酚吸附的制备方法

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摘要

Hierarchical porous carbon (PC) was prepared from semi-coke (SC) via a facile approach (K2CO3 catalytic steam activation) and used to adsorb p-nitrophenol (PNP) from aqueous solution. PC was characterized by elemental analysis, N-2 adsorption-desorption, SEM, FT-IR spectra, Raman spectra, and XPS techniques. The results revealed that PC can process highly porous structures with a Brunauer-Emmett-Teller surface area of 121 m(2) g(-1). It is rich in oxygen functional groups on the surface and shows good affinity for p-nitrophenol, the maximum adsorption capacity being 192.13 mg g(-1). Equilibrium adsorption data were fitted by the Langmuir, Freundlich, Redlich-Peterson, Liu, and Toth models. It was found that the Toth model presented the best fit. Kinetic studies showed that the data followed a pseudo second-order mode. Intra-particle diffusion studies showed that intra-particle diffusion was not the only rate controlling step. The negative enthalpy value Delta H degrees indicated that the adsorption process was exothermic. FT-IR and elemental analysis suggested that the adsorption mechanism of PNP onto PC was possible attributed to hydrogen bonding between polar functional groups on the PC surface and PNP. The spent PC was regenerated for four runs with acceptable adsorption capacity, which amounted to about 79.5% of the initial adsorption capacity. PC prepared from SC thus appears to be an effective adsorbent for removal of PNP from aqueous solutions.
机译:通过容易方法(K2CO3催化蒸汽活化)从半焦(SC)制备分层多孔碳(PC),并用于从水溶液中吸附p-硝基苯酚(PNP)。 PC的特征在于元素分析,N-2吸附 - 解吸,SEM,FT-IR光谱,拉曼光谱和XPS技术。结果表明,PC可以使用Brunauer-Emmett-exers面积为121m(2)g(-1)来处理高度多孔结构。它富含表面上的氧官能团,对P-硝基苯酚显示出良好的亲和力,最大吸附能力为192.13mg g(-1)。 Langmuir,Freundlich,Redlich-Peterson,Liu和Toth模型安装了均衡吸附数据。发现Toth模型呈现出最合适的。动力学研究表明,数据遵循伪二阶模式。粒子内扩散研究表明,颗粒内扩散不是唯一的速率控制步骤。负焓值δH度表明吸附过程是放热的。 FT-IR和元素分析表明,PNP上PC的吸附机理归因于PC表面上的极性官能团与PNP之间的氢键。将花PC再生四次,具有可接受的吸附能力,其占初始吸附能力的约79.5%。因此,由SC制备的PC似乎是用于从水溶液中除去PNP的有效吸附剂。

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