以泡沫铁为颗粒和石墨烯改性碳纤维为电极的电fenton法去除苯酚

IF 2.9 Q2 ELECTROCHEMISTRY
Hind H. Thwaini, R. Salman
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引用次数: 0

摘要

三维电fenton技术由于其高效率,被认为是消除废水中有机污染物的技术之一。3D电芬顿过程中使用的颗粒电极类型是最关键的变量之一,因为它会影响反应物质的形成和铁离子的来源。目前研究的电解电池由石墨作为阳极,石墨烯修饰的碳纤维(CF)作为阴极,泡沫铁颗粒作为第三电极组成。采用响应面法(RSM)对三维电fenton工艺进行优化。RSM结果表明,二次型模型具有99.05%的高R2。在4 g L-1泡沫铁颗粒、5 h、1 g石墨烯条件下,苯酚的最大去除率为92.58%,化学需氧量(COD)为89.33%,苯酚的消耗功率为32.976 kWh kg-1。方差分析结果显示,时间对苯酚去除率的影响最大,其次是泡沫铁和石墨烯用量。在本研究中,采用泡沫铁部分和石墨烯改性碳纤维的3D电fenton技术被认为是去除水溶液中苯酚的一个很好的选择,因为它效率高,形成高活性的物种,具有优秀的铁离子源电极。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Phenol removal by electro-Fenton process using a 3D electrode with iron foam as particles and carbon fibre modified with graphene
The 3D electro-Fenton technique is, due to its high efficiency, one of the technologies suggested to eliminate organic pollutants in wastewater. The type of particle electrode used in the 3D electro-Fenton process is one of the most crucial variables because of its effect on the formation of reactive species and the source of iron ions. The electrolytic cell in the current study consisted of graphite as an anode, carbon fiber (CF) modified with graphene as a cathode, and iron foam particles as a third electrode. A response surface methodology (RSM) approach was used to optimize the 3D electro-Fenton process. The RSM results revealed that the quadratic model has a high R2 of 99.05 %. At 4 g L-1 iron foam particles, time of 5 h, and 1 g of graphene, the maximum efficiency of phenol removal of 92.58 % and chemical oxygen demand (COD) of 89.33 % were achieved with 32.976 kWh kg-1 phenol of consumed power. Based on the analysis of variance (ANOVA) results, the time has the highest impact on phenol removal efficiency, followed by iron foam and graphene dosage. In the present study, the 3D electro-Fenton technique with iron foam partials and carbon fiber modified with graphene was detected as a great choice for removing phenol from aqueous solutions due to its high efficiency, formation of highly reactive species, with excellent iron ions source electrode.
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来源期刊
CiteScore
3.60
自引率
27.30%
发文量
90
审稿时长
6 weeks
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