Fe doped carbon/COFs electro-spinning nanofiber for selective adsorption and photocatalytic degradation on dye pollutant by confining effect in treatment of water

IF 9 Q1 ENVIRONMENTAL SCIENCES
De-yu Tang , Tian-mi Wang , Ling-ling Yan , Ke-yu Long , Luo-lin Deng , Zhi-chuan Shi , Juan Lin , Qing-han Zhou
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引用次数: 0

Abstract

In this study, a novel Fe doped carbon/COF nanofibrous membrane was prepared for selective adsorption and efficiently photocatalytic degradation on dyes. The Fe doped carbon nanofiber was obtained from electron-spinning polyacrylonitrile/sodium alginate/MIL-88 A nanofiber following with a carbonization procedure. Subsequently, the covalent triazine frameworks (CTFs) were formed in situ on the carbon nanofiber to prepare the novel Fe-doped carbon/covalent triazine frameworks (C/Fe@CTFs). The C/Fe@CTFs membrane exhibits selective adsorption on malachite green (MG) due to the confining effect of the CTFs. The adsorption experiments reveal that pseudo-second-order kinetics and Langmuir isotherm model fit better to the real process on MG adsorption, and DFT calculation is utilized to investigate the affinity between absorbent and adsorbate by determining the electron density and molecular orbital of each sample. Moreover, the C/Fe@CTFs presents improved photocatalytic effect against MG with a removal rate of 93.6 % with promoted service life under simulated sunlight irradiation. In brief, the C/Fe@CTFs membrane displays selectively adsorbing, efficiently photo-catalysing, improved bacteria inhibiting is a promising candidate for practical application on dye pollutant removal in water treatment.
铁掺杂碳/COFs电纺丝纳米纤维对水中染料污染物的选择性吸附和光催化降解
在本研究中,制备了一种新型的Fe掺杂碳/COF纳米纤维膜,用于染料的选择性吸附和高效光催化降解。以电子纺聚丙烯腈/海藻酸钠/ mil - 88a纳米纤维为原料,经炭化工艺制备了Fe掺杂碳纳米纤维。随后,在碳纳米纤维上原位形成共价三嗪框架(CTFs),制备新型掺铁碳/共价三嗪框架(C/Fe@CTFs)。由于CTFs的限制作用,C/Fe@CTFs膜对孔雀石绿(MG)表现出选择性吸附。吸附实验表明,拟二级动力学和Langmuir等温线模型更符合MG吸附的实际过程,并利用DFT计算通过测定每个样品的电子密度和分子轨道来研究吸附剂和吸附物之间的亲和关系。此外,C/Fe@CTFs在模拟阳光照射下对MG的光催化效果更好,去除率达93.6%,使用寿命延长。总之,C/Fe@CTFs膜具有选择性吸附、高效光催化、增强抑菌性等特点,在水处理中去除染料污染物方面具有广阔的应用前景。
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CiteScore
15.40
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