光催化
吸附
光降解
阳离子聚合
化学工程
降级(电信)
材料科学
吸附
涂层
催化作用
水处理
选择性
污染物
水污染
多相催化
亚甲蓝
多孔性
水溶液
污染
废水
比表面积
化学
环境化学
环境污染
作者
Andrea Lanfranchi,Simone Bertucci,Margherita Peragallo,Fabiano Martorelli,Giovanni Manfredi,Davide Avanzino,Roberto Spotorno,Stefano Alberti,Davide Comoretto,Francesco Di Stasio,M. Patrini,Federico Locardi,Mirko Prato,Paola Lova
摘要
Abstract Water pollution and scarcity rank among the most pressing global challenges, underscoring the need for efficient and scalable technologies for tertiary water remediation, particularly against persistent pollutants that withstand conventional treatments. Photocatalysis offers a promising route for degrading such contaminants; however, standard powdered catalysts are difficult to recover after use and, despite their high specific surface area, introduce significant operational limitations in real systems. To address these challenges, we present mixed TiO 2 –SiO 2 photocatalytic coatings that combine the photoactivity of titania with the selectivity and sorption capacity of porous silica. Although thin films intrinsically provide a lower specific surface area than powders, the mixed oxides compensate for this constraint, offering excellent sorption performance and pronounced selectivity toward cationic species. Sorption and degradation capabilities were evaluated using methylene blue ‐ a benchmark probe in water purification ‐ and Diquat, a widely used herbicide and persistent cationic emerging pollutant. Furthermore, repeated photocatalytic cycling demonstrates good operational stability. Although a slight decrease in performance is observed during the initial cycles, the activity subsequently stabilizes, and the coatings retain high photocatalytic activity after repeated use, highlighting their potential for practical tertiary water treatment applications. Compared with pure titania, the mixed‐oxide coating displays markedly enhanced sorption and photocatalytic degradation effects while eliminating the need for catalyst recovery, thereby overcoming key limitations associated with conventional particulate systems.
科研通智能强力驱动
Strongly Powered by AbleSci AI