4.8 Article

A kinetic model for photocatalytic degradation of organic contaminants in a thin-film TiO2 catalyst

期刊

WATER RESEARCH
卷 34, 期 2, 页码 407-416

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/S0043-1354(99)00247-X

关键词

photocatalysis; thin-film catalyst; kinetic modeling; organic degradation

向作者/读者索取更多资源

The thin-film technique is becoming a standard for the preparation of TiO2-based photocatalysts for organic degradation. The catalyst alleviates the drawback of poor settleability associated with the powder TiO2 traditionally used. In addition, the thin-film catalyst can be connected to an external power source to reduce the recombination of UV-activated electrons and holes, thereby increasing the quantum efficiency. The immobilization of TiO2 on a solid carrier as a thin-film catalyst introduces several mechanisms not normally found in conventional TiO2 slurry process. These mechanisms have been identified to include at least liquid-film transfer, adsorption, diffusion and photocatalytic reaction in a thin-film. A mathematical model was developed to incorporate these mechanisms for the photodegradation of organic molecules in a batch reactor. The model was verified using the data of l-chlorophenol degradation obtained from the literature. The thin-film photocatalytic model was then used to investigate the effect of catalyst properties on the photodegradation of organics. The properties investigated included adsorption capacity, diffusion in the catalyst, UV attenuation and film thickness. The results of model simulation show that the effects of catalyst properties on the degradation of organics are highly nonlinear. There is an optimal film thickness that yields a maximum rate of photodegradation. The model not only provides insights into the effect of these underlying mechanisms but also can be used as a tool to assist the design of a thin-film photocatalyst. (C) 1999 Elsevier Science Ltd. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据