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双金属Cu/Ni-BTC@SiO金属有机框架作为高性能光催化剂用于可见光照射下偶氮染料的降解

Bimetal Cu/Ni-BTC@SiO metal-organic framework as high performance photocatalyst for degradation of azo dyes under visible light irradiation.

作者信息

Gharagozlou Mehrnaz, Elmi Fard Narges, Ghahari Mehdi, Tavakkoli Yaraki Mohammad

机构信息

Department of Nanomaterials and Nanocoatings, Institute for Color, Science, and Technology, P.O. Box 654-16765, Tehran, Iran.

Department of Chemistry, Science and Research Branch, Islamic Azad University, Tehran, Iran.

出版信息

Environ Res. 2024 Sep 1;256:119229. doi: 10.1016/j.envres.2024.119229. Epub 2024 May 24.

DOI:10.1016/j.envres.2024.119229
PMID:38797465
Abstract

There has been significant attention on the efficient degradation of pollutants in wastewater using metal-organic frameworks (MOFs) photocatalytic methods over the past decade. Herein, we examined the elimination of two different types of water-contaminating dyes, specifically cationic dye methylene blue (MB) and anionic dye methyl orange (MO), through the application of bimetal Cu/Ni-BTC@SiO MOF as high performance photocatalyst. The bimetal Cu/Ni-BTC@SiO photocatalyst was synthesized and characterized by XRD, FTIR, SEM, TEM, TGA, BET, DRS, and VSM techniques. The examination of the impact of different operational factors on the elimination of pollutants involved a comprehensive analysis of variables including the photocatalyst type, initial pollutant concentration, quantity of photocatalyst, and pH levels. The highest removal efficiency for MO and MB dyes by the photocatalyst was found to be 98 and 71%, respectively, within 60 min. In the fifth reaction stage, degradation efficiency for MO and MB was 76 and 56% respectively. Kinetic investigations demonstrated that, in the context of the uptake of MB and MO dyes, the interparticle diffusion, and pseudo-second-order models emerged as possessing the most robust correlation coefficients with the experimental data, registering values of 0.988 and 0.961, respectively. The examination of isotherms reveals that the isotherm models proposed by BET, and Anderson (V) demonstrate the highest level of conformity with the empirical data for the decomposition of MB and MO dyes, correspondingly. The TOC levels decreased significantly from 51 to 14 and 47 to 3 mg/L for MB and MO dyes, indicating the effective mineralization process using Cu/Ni-BTC@SiO.

摘要

在过去十年中,利用金属有机框架(MOF)光催化方法高效降解废水中的污染物受到了广泛关注。在此,我们研究了通过应用双金属Cu/Ni-BTC@SiO MOF作为高性能光催化剂来去除两种不同类型的水污染染料,即阳离子染料亚甲基蓝(MB)和阴离子染料甲基橙(MO)。通过XRD、FTIR、SEM、TEM、TGA、BET、DRS和VSM技术对双金属Cu/Ni-BTC@SiO光催化剂进行了合成和表征。考察不同操作因素对污染物去除的影响涉及对光催化剂类型、初始污染物浓度、光催化剂用量和pH值等变量的综合分析。在60分钟内,光催化剂对MO和MB染料的最高去除效率分别为98%和71%。在第五个反应阶段,MO和MB的降解效率分别为76%和56%。动力学研究表明,在MB和MO染料的吸附过程中,颗粒间扩散和准二级模型与实验数据的相关系数最为显著,分别为0.988和0.961。等温线研究表明,BET和Anderson(V)提出的等温线模型分别与MB和MO染料分解的实验数据具有最高的一致性。MB和MO染料的TOC水平分别从51降至14mg/L和从47降至3mg/L,表明使用Cu/Ni-BTC@SiO进行了有效的矿化过程。

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