光降解
材料科学
光电流
光催化
三元运算
纳米复合材料
X射线光电子能谱
降级(电信)
可见光谱
催化作用
氧化还原
化学工程
纳米技术
光电子学
化学
有机化学
冶金
电信
计算机科学
工程类
程序设计语言
作者
Cheng-Kuo Tsai,Yu‐Chin Lee,Thanh Tam Nguyen,Jao‐Jia Horng
出处
期刊:Chemosphere
[Elsevier BV]
日期:2022-03-15
卷期号:298: 134285-134285
被引量:36
标识
DOI:10.1016/j.chemosphere.2022.134285
摘要
As semiconductor photocatalysts showing their efficient redox ability upon illumination, new development of materials to enhance the pollution degradation is gaining popularity, especially on their oxidation ability. In this study, a highly stable ternary Fe-ZnO/WO3 nanocomposite photocatalyst has been synthesized in order to improve charge transfer of photocatalytic oxidation under 30W LED light (425-470 nm) to efficiency degrade the Levofloxacin (LVF) in the solution. This catalyst was characterized and analyzed by XRD, FE-SEM, HR-TEM, X-ray XPS, UPS, PL, TRPL, LSV, EIS, and Photocurrent. Various important factors for the photodegradation were investigated, including Fe content, initial LVF concentration, catalyst dosage, and solution pH. The optimal conditions were Fe 1.0 wt%, LVF 10 mg L-1, Fe-ZnO/WO3 dosage 0.5 g L-1, and pH 7 for LVF photodegradation up to 96% with a kinetic rate constant of 0.0342 min-1 and were stable in photodegradation efficiency (90%) after five test cycles. In the visible LED light, the activation bandgap was estimated to be 2.75 eV with high electron-hole pair separation and charge transfer from Fe-ZnO to WO3 that could enhance the generation of active species of •OH. Moreover, the more effective charge separation of Fe-ZnO/WO3 were confirmed by lower PL intensity and longer charge carrier lifetime. Fe-ZnO/WO3 also demonstrated the excellent electrochemical properties with high photocurrent and small resistance. For the LVF degradation, 3 possible pathways were proposed with 12 intermediate products. This study demonstrated that the synthesized Fe-ZnO/WO3 could serve as a reliable visible-light responsive photocatalysts with the potential for degrading antibiotics in solution.
科研通智能强力驱动
Strongly Powered by AbleSci AI