{"title":"In-Situ Construction of La-B Co-Doped g-C3N4 for Highly Efficient Photocatalytic H2 Production and RhB Degradation","authors":"L. N. Wang, L. H. Xiao, Q. Jin, Q. Chang","doi":"10.3808/jei.202200481","DOIUrl":null,"url":null,"abstract":"Doped graphitic carbon nitride (g-C3N4) has been investigated as the visible light photocatalyst for photocatalytic H2 production and organic pollution removal. The elements doping could change the nanostructures, surface composition, and electronic structurescompared to pure g-C3N4. Such changes will provide better light-harvesting, more active sites and enhanced charge separation. In this work, we built the La-B co-doped g-C3N4 by an in-situ growth of g-C3N4 on LaB6. The effect of La-B co-doping on the phase, morphology, light absorption and porous structures is fully characterized to clearly understand the differences in the photocatalytic activities clearly. La and B co-doping introduced defect states and redistribution with suitable redox potentials, benefiting charge separation and photocatalytic reactions. So, the optimal co-doped samples process a higher photocatalytic performance in H2 production and Rhodamine B (RhB) degradation than the pure g-C3N4. The possible valence and conduction band edge positions and photocatalytic mechanism are discussed at last.\n","PeriodicalId":54840,"journal":{"name":"Journal of Environmental Informatics","volume":"48 5","pages":""},"PeriodicalIF":6.0000,"publicationDate":"2022-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Environmental Informatics","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.3808/jei.202200481","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Doped graphitic carbon nitride (g-C3N4) has been investigated as the visible light photocatalyst for photocatalytic H2 production and organic pollution removal. The elements doping could change the nanostructures, surface composition, and electronic structurescompared to pure g-C3N4. Such changes will provide better light-harvesting, more active sites and enhanced charge separation. In this work, we built the La-B co-doped g-C3N4 by an in-situ growth of g-C3N4 on LaB6. The effect of La-B co-doping on the phase, morphology, light absorption and porous structures is fully characterized to clearly understand the differences in the photocatalytic activities clearly. La and B co-doping introduced defect states and redistribution with suitable redox potentials, benefiting charge separation and photocatalytic reactions. So, the optimal co-doped samples process a higher photocatalytic performance in H2 production and Rhodamine B (RhB) degradation than the pure g-C3N4. The possible valence and conduction band edge positions and photocatalytic mechanism are discussed at last.
期刊介绍:
Journal of Environmental Informatics (JEI) is an international, peer-reviewed, and interdisciplinary publication designed to foster research innovation and discovery on basic science and information technology for addressing various environmental problems. The journal aims to motivate and enhance the integration of science and technology to help develop sustainable solutions that are consensus-oriented, risk-informed, scientifically-based and cost-effective. JEI serves researchers, educators and practitioners who are interested in theoretical and/or applied aspects of environmental science, regardless of disciplinary boundaries. The topics addressed by the journal include:
- Planning of energy, environmental and ecological management systems
- Simulation, optimization and Environmental decision support
- Environmental geomatics - GIS, RS and other spatial information technologies
- Informatics for environmental chemistry and biochemistry
- Environmental applications of functional materials
- Environmental phenomena at atomic, molecular and macromolecular scales
- Modeling of chemical, biological and environmental processes
- Modeling of biotechnological systems for enhanced pollution mitigation
- Computer graphics and visualization for environmental decision support
- Artificial intelligence and expert systems for environmental applications
- Environmental statistics and risk analysis
- Climate modeling, downscaling, impact assessment, and adaptation planning
- Other areas of environmental systems science and information technology.