Department of chemistry, National University of Singapore, 3 Science Drive 3, 117543, Singapore.
State Key Laboratory of Urban Water Resource and Environment, School of Municipal and Environmental Engineering, Harbin Institute of Technology, Harbin, 150090, P. R. China.
Sci Rep. 2017 Feb 21;7:42881. doi: 10.1038/srep42881.
For the first time, renewable and easy accessible pre-bleached spent coffee powder coated with polyethylenimine (PEI) and ferric ions (Coffee-PEI-Fe) was used for the successive adsorption of As(V), Cu(II) and P(V) ions from spiked water samples. Fully characterized coffee-PEI-Fe was employed for batch mode experiments. Kinetic regression analysis showed that the adsorption processes of As(V) and P(V) anions follows a pseudo-second-order model, while the adsorption of Cu(II) ions fit with a pseudo-first-order model. The maximum adsorption capacities estimated by Langmuir model for As(V), Cu(II) and P(V) ions were 83.3, 200.1, and 50.2 mg/g, respectively. The simulated results revealed that the internal diffusion is the rate-determining step for the adsorptions of As(V) and Cu(II) ions, while film diffusion is the mass transfer resistance for the adsorption of P(V) ions on the surface of coffee-PEI-Fe. The successive adsorptions of adsorbates were achieved through electrostatic attraction between adsorbent surface and adsorbates. The dynamic column adsorption behavior of the adsorbent was described by Thomas model, which showed a good agreement with the experimental values (q). The results presented in this paper could be used for developing efficient adsorbent from renewable materials for water purification.
首次使用可再生且易于获取的经预处理的咖啡粉,对其进行聚乙烯亚胺(PEI)和铁离子(Coffee-PEI-Fe)的涂层处理,用于连续吸附含砷(V)、铜(II)和磷(V)离子的水样。对充分表征的 Coffee-PEI-Fe 进行批量实验。动力学回归分析表明,As(V)和 P(V)阴离子的吸附过程符合拟二级模型,而 Cu(II)离子的吸附符合拟一级模型。通过 Langmuir 模型估计的 As(V)、Cu(II)和 P(V)离子的最大吸附容量分别为 83.3、200.1 和 50.2 mg/g。模拟结果表明,内部扩散是 As(V)和 Cu(II)离子吸附的速率决定步骤,而对于 P(V)离子在 Coffee-PEI-Fe 表面的吸附,膜扩散是传质阻力。通过吸附剂表面和吸附物之间的静电吸引实现了吸附物的连续吸附。通过 Thomas 模型描述了吸附剂的动态柱吸附行为,该模型与实验值(q)吻合较好。本文提出的结果可用于开发从可再生材料中提取的高效水净化用吸附剂。