光催化
材料科学
异质结
亚甲蓝
纳米复合材料
化学工程
可见光谱
石墨氮化碳
三元运算
纳米颗粒
复合数
纳米技术
催化作用
复合材料
化学
光电子学
有机化学
工程类
程序设计语言
计算机科学
作者
Misbah Malik,Sobhy M. Ibrahim,Mamona Nazir,Asif Ali Tahir,Muhammad Khurram Tufail,Syed Shoaib Ahmad Shah,Aqsa Anum,Muhammad Ahmad Wattoo,Aziz ur Rehman
出处
期刊:Catalysts
[MDPI AG]
日期:2023-04-27
卷期号:13 (5): 813-813
被引量:13
标识
DOI:10.3390/catal13050813
摘要
Robust hybrid g-C3N4/ZnO-W/Cox heterojunction composites were synthesized using graphitic carbon nitride (g-C3N4) and ZnO-W nanoparticles (NPs) and different concentrations of Co dopant. The hybrid heterojunction composites were prepared by simple and low-cost coprecipitation methods. The fabricated catalyst was explored and investigated using various characterization techniques such as FTIR, XRD, FESEM and EDX. The surface morphology of the as-prepared hybrid nanocomposites with particle sizes in the range of 15–16 nm was validated by SEM analysis. The elemental composition of the synthesized composites was confirmed by EDS analysis. Photocatalysis using a photon as the sole energy source is considered a challenging approach for organic transformations under ambient conditions. The photocatalytic activity of the heterojunctions was tested by photodegrading methylene blue (MB) dye in the presence of sunlight. The reduced band gap of the heterojunction composite of 3.22–2.28 eV revealed that the incorporation of metal ions played an imperative role in modulating the light absorption range for photocatalytic applications. The as-synthesized g-C3N4/ZnO-W/Co0.010 composite suppressed the charge recombination ability during the photocatalytic degradation of methylene blue (MB) dye. The ternary heterojunction C3N4/ZnO-W/Co0.010 composite showed an impressive photocatalytic performance with 90% degradation of MB under visible light within 90 min of irradiation, compared to the outcomes achieved with the other compositions. Lastly, the synthesized composites showed good recyclability and mechanical stability over five cycles, confirming them as promising photocatalyst options in the future.
科研通智能强力驱动
Strongly Powered by AbleSci AI