Department of Chemical Engineering, National Institute of Technology, Rourkela, 769008, Orissa, India.
Environ Sci Pollut Res Int. 2022 Oct;29(48):73444-73460. doi: 10.1007/s11356-022-21018-y. Epub 2022 May 27.
A novel composite consisting reduced graphene oxide-functionalized beta-cyclodextrin epichlorohydrin polymer (RGO-βCD-ECH) was synthesized for the treatment of phenolic wastewater. Batch study of phenolic pollutants (2,4-dichlorophenol, 2-chlorophenol, and phenol) was analyzed using the synthesized composite as an adsorbent from an aqueous solution. The optimized parameters were temperature 25 °C, adsorption time 60 min, solution pH 7, and dosage 0.25 g/L. The isotherm data were more suitably fitted by the Langmuir isotherm model. The maximum uptake for 2,4-dichlorophenol, phenol, and 2-chlorophenol was 702.853, 659.475, and 674.155 mg/g, respectively, at 25 ± 1 °C. The kinetic data for all the phenolic pollutants follow the pseudo-second-order model, and the rate was controlled by film diffusion. Thermodynamic data revealed that the process of removing phenolic pollutants is spontaneous and endothermic. The composite can be used up to five cycles with a small reduction in the removal. Adsorption performance of the synthesized composite for synthetic industrial effluents shows that up to 78% removal occurred in 60 min adsorption time. Based on the remarkably rapid adsorption and high adsorption capacity, the synthesized composite can be considered an efficient adsorbent for treating phenolic pollutants from wastewater.
一种新型的复合材料,由还原氧化石墨烯功能化的β-环糊精表氯醇聚合物(RGO-βCD-ECH)组成,用于处理酚废水。采用合成的复合材料作为吸附剂,从水溶液中分析酚类污染物(2,4-二氯苯酚、2-氯苯酚和苯酚)的批量研究。优化参数为温度 25°C、吸附时间 60min、溶液 pH 值 7 和剂量 0.25g/L。等温线数据更适合由朗缪尔等温线模型拟合。在 25±1°C 时,2,4-二氯苯酚、苯酚和 2-氯苯酚的最大吸附量分别为 702.853、659.475 和 674.155mg/g。所有酚类污染物的动力学数据均遵循准二级模型,并且该速率由膜扩散控制。热力学数据表明,去除酚类污染物的过程是自发的和吸热的。该复合材料在使用五轮后,去除率略有下降。合成复合材料对合成工业废水的吸附性能表明,在 60min 的吸附时间内,去除率高达 78%。基于快速吸附和高吸附容量,该合成复合材料可被认为是处理废水中酚类污染物的有效吸附剂。