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ZnO 和 Ag/ZnO 薄膜催化剂对橙黄 G 染料的光催化降解动力学

Photocatalytic degradation kinetics of Orange G dye over ZnO and Ag/ZnO thin film catalysts.

作者信息

Tekin Derya, Tekin Taner, Kiziltas Hakan

机构信息

Department of Metallurgical and Materials Engineering, Faculty of Engineering, Ataturk University, Erzurum, Turkey.

Department of Chemical Engineering, Faculty of Engineering, Ataturk University, Erzurum, Turkey.

出版信息

Sci Rep. 2019 Nov 26;9(1):17544. doi: 10.1038/s41598-019-54142-w.

Abstract

The degradation of water pollutants with photocatalysts is one of the most studied subjects in the past 20 years. Although considerable studies have been completed in this field, kinetic model studies are still a major inadequacy. In this study, ZnO and Ag/ZnO thin film photocatalysts were synthesized and SEM-EDS, XRD and chronoamperometric measurements were used the characterization of photocatalysts. The network kinetic model was applied the photocatalytic degradation of Orange G using ZnO and Ag/ZnO thin film photocatalysts. The photocatalytic degradation of Orange G was investigated under the different reaction medium (initial dye concentrations, temperature, light intensity). It was found that the network kinetic model is the most appropriate model for the degradation of Orange G dye on the ZnO and Ag/ZnO thin film photocatalysts. The calculated adsorption equilibrium (K) constant and activation energy of ZnO thin film photocatalyst are 0.0191 and 21.76 kj/mol, respectively. Additionally, the calculated values for Ag/ZnO thin film photocatalyst are 0.035 and 18.32 kj/mol. The general rate equations were determined for each photocatalysts.

摘要

在过去20年里,利用光催化剂降解水中污染物是研究最多的课题之一。尽管该领域已完成了大量研究,但动力学模型研究仍然存在重大不足。在本研究中,合成了ZnO和Ag/ZnO薄膜光催化剂,并采用扫描电子显微镜-能谱仪(SEM-EDS)、X射线衍射仪(XRD)和计时电流法测量对光催化剂进行了表征。应用网络动力学模型研究了ZnO和Ag/ZnO薄膜光催化剂对橙黄G的光催化降解。在不同反应介质(初始染料浓度、温度、光照强度)下研究了橙黄G的光催化降解。结果表明,网络动力学模型是描述ZnO和Ag/ZnO薄膜光催化剂上橙黄G染料降解的最合适模型。计算得到的ZnO薄膜光催化剂的吸附平衡(K)常数和活化能分别为0.0191和21.76kJ/mol。此外,Ag/ZnO薄膜光催化剂的计算值分别为0.035和18.32kJ/mol。确定了每种光催化剂的总速率方程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/47c1/6879728/2a0d2f02fa76/41598_2019_54142_Fig1_HTML.jpg

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