This research is aimed at the development of efficient and simple fluoroquinolone antibiotics micro-pollutants water treatment technology. It selective biomass materials as raw precursors to prepare carbon fiber based on NTP technology and the design of CF@nZVI were recognized as critical control. It is designed to be a co-catalyst to transmit electrons, so as to solve some problems including difficult to recovery and the price of solid transmission medium. Combined g-C3N4 and BiVO4 photocatalysts, CF@nZVI as the transmission medium, a hierarchical Z-scheme composite catalytic material was designed. The electronic transmission and structure relationship of nZVI@CF and two photocatalysts also were investigated. The self-assembled behavior and regular of the preparation of Z-scheme nano-materials were revealed. Simultaneously, the aim of this item is exploring the interface evolution of Z-scheme photocatalysts transmission medium nZVI@CF and controlling properties based on the integration of controlled fabrication, the oriented design of Z-scheme photocatalytic system, and the synergies mechanism study of adsorption technology and photocatalytic/Fenton-like catalytic technology for target micro-pollutants. The findings of this study will provide a theoretical and technical support to solve the threat of micro-pollutants pollution.
本课题拟以氟喹诺酮类抗生素微污染物高效去除为研究目标,采用生物质为原料制备碳纤维(CF)为主线,以低温等离子体技术(NTP)为向导,围绕CF@nZVI复合材料构筑为关键控制点,设计其为助催剂进行传输电子,以解决离子态介质在构筑复合材料过程中存在的不利回收以及固态介质使用价格等问题;结合g-C3N4和BiVO4两种光催化剂,获得Z型光催化复合材料;研究g-C3N4和BiVO4与nZVI@CF之间电子传输及相互间构效关系;探索制备的Z型复合纳米材料的自组装行为和可控规律的机制;主要围绕基于NTP技术Z型催化剂固体传输介质nZVI@CF的界面演变规律和可控制备、Z型催化体系的定向设计,吸附技术与光催化/类Fenton催化技术协同增效去除抗生素药物机制等几个重要过程展开研究,以获得构建多层次界面的最佳参数和对微污染物高效去除组合体系;研究结果可以为微污染物的控制提供理论依据和技术参考。
本课题拟以抗生素微污染物高效去除为研究目标,采用生物质为原料制备类石墨烯为主线,围绕类石墨烯复合材料构筑为关键控制点,设计其为助催剂进行传输电子,以解决离子态介质在构筑复合材料过程中存在的不利回收以及固态介质使用价格等问题;结合g-C3N4和BiVO4两种光催化剂,获得Z型光催化复合材料;研究g-C3N4和BiVO4与BiVO4之间电子传输及相互间构效关系;探索制备的Z型复合纳米材料的自组装行为和可控规律的机制;主要围绕基于Z型催化剂固体传输介质类石墨烯的界面演变规律和可控制备、Z型催化体系的定向设计,吸附技术与光催化/类Fenton催化技术协同增效去除抗生素药物机制等几个重要过程展开研究,以获得构建多层次界面的最佳参数和对微污染物高效去除组合体系;研究结果可以为微污染物的控制提供理论依据和技术参考。
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数据更新时间:2023-05-31
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