School of Environment and Energy, South China University of Technology, Guangzhou 510006, PR China.
Department of Materials and Environmental Technology, Tallinn University of Technology, Tallinn 19086, Estonia.
Int J Biol Macromol. 2020 Apr 15;149:581-592. doi: 10.1016/j.ijbiomac.2020.01.185. Epub 2020 Jan 25.
A high-efficiency graphene oxide-terminated hyperbranched amino polymer-carboxymethyl cellulose ternary nanocomposite (GO-HBP-NH-CMC) was fabricated for adsorbing heavy metals from aqueous solutions. The adsorbent was characterized by SEM, FT-IR, Raman, and XPS analyses showing its porous architecture, rough surface, abundant N- and O-containing functional groups providing enhanced binding ability towards Pb and Cu. Experimental adsorption data fitted well to the pseudo-second-order kinetics and Langmuir isotherm models, indicating the adsorption of GO-HBP-NH-CMC towards Pb and Cu being a chemical and monolayer process. The maximum adsorption capacities of GO-HBP-NH-CMC for Pb and Cu at 25 °C comprised 152.86 and 137.48 mg/g, respectively. The laboratory-scale experimental study into the Pb and Cu adsorption in a fixed-bed column was undertaken. Effects of flow rate, bed depth and influent metals concentration on the adsorption performance were assessed. Experimental data successfully correlated with the Adams-Bohart, Thomas and Yoon-Nelson models with the R exceeding 0.79. Density functional theory calculation was adopted to study interactions between functional groups at GO-HBP-NH-CMC and heavy metals showing OH, NH and COOH moieties in GO-HBP-NH-CMC being more likely to bind Pb rather than Cu, while the binding abilities of CONH towards Pb and Cu were similar.
一种高效的氧化石墨烯终止超支化氨基聚合物-羧甲基纤维素三元纳米复合材料(GO-HBP-NH-CMC)被制备用于从水溶液中吸附重金属。通过 SEM、FT-IR、拉曼和 XPS 分析对吸附剂进行了表征,结果表明其具有多孔结构、粗糙表面、丰富的含 N 和 O 的官能团,提供了增强对 Pb 和 Cu 的结合能力。实验吸附数据很好地符合准二级动力学和 Langmuir 等温线模型,表明 GO-HBP-NH-CMC 对 Pb 和 Cu 的吸附是化学和单层过程。GO-HBP-NH-CMC 在 25°C 下对 Pb 和 Cu 的最大吸附容量分别为 152.86 和 137.48mg/g。在固定床柱中进行了 Pb 和 Cu 吸附的实验室规模实验研究。评估了流速、床层深度和进水金属浓度对吸附性能的影响。实验数据与 Adams-Bohart、Thomas 和 Yoon-Nelson 模型成功相关,R 值超过 0.79。采用密度泛函理论计算研究了 GO-HBP-NH-CMC 中官能团与重金属之间的相互作用,结果表明 GO-HBP-NH-CMC 中的 OH、NH 和 COOH 基团更倾向于与 Pb 结合而不是 Cu,而 CONH 对 Pb 和 Cu 的结合能力相似。