Photocatalytic performance of TiO 2 /zeolites under simulated solar light for removal of atenolol from aqueous solution

INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY(2022)

引用 3|浏览6
暂无评分
摘要
Removal of the β -blocker atenolol from an aqueous solution was studied using TiO 2 /zeolites, prepared by a simple and cost-effective solid-state dispersion method. Synthetic zeolites 13X and ZSM-5 (Si/Al = 40) and natural zeolite clinoptilolite were used as one component of the hybrid materials, whereas TiO 2 nanocrystals obtained from TiO 2 nanotubes and P25 TiO 2 nanoparticles were used as the other. The synthesized materials were characterized by X-ray powder diffraction, transmission electron microscopy, Fourier transformed infrared spectroscopy, ultraviolet–visible diffuse reflectance spectroscopy and scanning electron microscopy with energy-dispersive spectroscopy. The photocatalytic activity for the degradation of atenolol was investigated under simulated solar light. Additionally, the effect of initial pH on atenolol removal and the reusability of prepared catalysts were tested. The best loading of TiO 2 was 20 wt% over all investigated zeolites. The degradation of atenolol followed the pseudo-first-order kinetics. The photocatalytic degradation of atenolol after 70 min of irradiation was ~ 50% for TiO 2 /13X materials, ~ 45% for clinoptilolite combined with P25 TiO 2 and ~ 57% for clinoptilolite combined with TiO 2 nanocrystals obtained from TiO 2 nanotubes. The results showed the highest removal efficiency after 70 min of irradiation for ZSM-5 combined with P25 TiO 2 (~ 94%), followed by ZSM-5 combined with TiO 2 nanocrystals obtained from TiO 2 nanotubes (~ 88%) at near-neutral pH (~ 6.5). The total removal of atenolol from an aqueous solution for TiO 2 /ZSM-5 materials resulted from two processes: adsorption and photocatalytic degradation. The TiO 2 /ZSM-5 photocatalysts can be easily recovered and reused as their activity was preserved after four cycles.
更多
查看译文
关键词
Titanium dioxide,Zeolite,Atenolol,Degradation
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要