Synthesis of solar-driven Cu-doped graphitic carbon nitride photocatalyst for enhanced removal of caffeine in wastewater
- Authors
- Pham, Thi Huong; Viet, Nguyen Minh; Hoai, Pham Thi Thu; Tung, Nguyen Hoang; Tran, Hieu Man; Mapari, M. G.; Kim, TaeYoung
- Issue Date
- Sep-2023
- Publisher
- ACADEMIC PRESS INC ELSEVIER SCIENCE
- Keywords
- Caffeine; Emerging pollutants; Wastewater; Graphitic carbon nitride photocatalyst; Cu-doped
- Citation
- ENVIRONMENTAL RESEARCH, v.233
- Journal Title
- ENVIRONMENTAL RESEARCH
- Volume
- 233
- URI
- https://scholarworks.bwise.kr/gachon/handle/2020.sw.gachon/88841
- DOI
- 10.1016/j.envres.2023.116483
- ISSN
- 0013-9351
1096-0953
- Abstract
- Caffeine (CaF), a widely consumed compound, has been associated with various harmful effects on human health, including metabolic, cardiovascular disease, and reproductive disorders. Moreover, it poses a signifincant threat to organisms and aquatic ecosystems, leading to water pollution concerns. Therefore, the removal of CaF from wastewater is crucial for mitigating water pollution and minimizing its detrimental impacts on both humans and the environment. In this study, a solar-driven Cu-doped graphitic carbon nitride (Cu/CN) photocatalyst was synthesized and evaluated for its effectiveness in oxidizing CaF in wastewater. The Cu/CN photocatalyst, with a low band gap energy of 2.58eV, exhibited superior performance in degrading CaF compared to pure graphitic carbon nitride (CN). Under solar light irradiation, CuCN achieved a remarkable CaF degradation efficiency of 98.7% CaF, surpassing CN's efficiency of 74.5% by 24.2%. The synthesized Cu/CN photocatalyst demonstrated excellent removal capability, achieving a removal rate of over 88% for CaF in wastewater. Moreover, the reusability test showed that Cu/CN could be successfully reused up to five cycles maintaining a high removal efficiency of 74% for CaF in the fifth cycle. Additionally, the study elucidated the oxidation mechanism of CaF using solar-driven Cu/CN photocatalyst and highlighted the environmental implications of the process.
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