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Synthesis of Ag-coated on a wrinkled SiO2@TiO2 architectural photocatalyst: New method of wrinkled shell for use of semiconductors in the visible light range and penicillin antibiotic degradation

光催化 材料科学 化学工程 降级(电信) 可见光谱 X射线光电子能谱 光降解 傅里叶变换红外光谱 涂层 催化作用 拉曼光谱 核化学 纳米技术 有机化学 化学 光电子学 工程类 电信 物理 光学 计算机科学
作者
Lidong Zhu,Maria Jade Catalan Opulencia,Dmitry Olegovich Bokov,I. I. Krasnyuk,Chia‐Hung Su,Hoang Chinh Nguyen,Abdullah Mohamed,Masoud Habibi Zare,Mohammed Zwawi,Mohammed Algarni
出处
期刊:alexandria engineering journal [Elsevier]
卷期号:61 (12): 9315-9334 被引量:20
标识
DOI:10.1016/j.aej.2022.03.009
摘要

In this study, a facile, environmentally friendly, room-temperature synthesis of Ag-coated on microporous TiO2-based catalysts and their application as a photocatalyst to degradation of penicillin as an antibiotic from pharmaceutical wastewater was investigated. The sol-gel method was used for the preparation of SiO2 and SiO2@TiO2. Then, the SiO2@TiO2 was wrinkled using hydrothermal treatment. Finally, Ag as plasmonic material was doped on wrinkled photocatalyst via wet chemistry approach. The synthesised photocatalysts were characterized using different analyses such as XRD, FTIR, RAMAN, FESEM, TEM, XPS. The results showed that the Ag was successfully coated on the wrinkled TiO2 layer. The performance of the synthesised photocatalyst was studied in terms of penicillin antibiotic removal from pharmaceutical wastewater in the range of visible light. The band gap energy (Eg) of SiO2 and after addition of TiO2 and Ag was obtained 4.5 and 2.8–3.2 eV. Specific surface of SiO2 and SiO2@WS-TiO2 was found 293 and 329 m2/g respectively. The results indicated that wrinkling and coating Ag can enhance the SiO2@TiO2 photocatalyst activity for degradation of penicillin. Furthermore, the operating parameter of degradation of penicillin such pH, contact time, initial penicillin concentration, temperature, and the amount of synthesized photocatalyst was optimized. Finally, it was found that Langmuir isotherm model is well fitted with experimental data to predict kinetic of penicillin degradation.
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