期刊
JOURNAL OF MEMBRANE SCIENCE
卷 514, 期 -, 页码 340-349出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.memsci.2016.04.050
关键词
Photocatalysis; Photocatalytic membrane reactors; Layer-by-layer; Plasma-enhanced chemical vapor deposition; Performance modeling
资金
- National Science Foundation Partnerships for International Education and Research program [IIA-1243433]
- Center for European, Russian, and Eurasian Studies at Michigan State University
- European Commission - Education, Audiovisual and Culture Executive Agency (EACEA) under the program Erasmus Mundus Doctorate in Membrane Engineering (EUDIME, FPA) [2011-0014]
- CONACyT [205602]
- Office Of Internatl Science &Engineering
- Office Of The Director [1243433] Funding Source: National Science Foundation
Two methods for coating a macroporous surface of a membrane support layer with a photocatalyst are comparatively evaluated. Layer-by-layer self-assembly of nanoTiO(2) with a multilayer of poly(diallyldimethylammonium chloride) and poly(acrylic acid) as a binder produces a sub-monolayer of photo catalyst nanoparticles on the grains of the membrane support. In contrast, plasma-enhanced chemical vapor deposition gives a dense uniform coating on the membrane grains. Neither method reduces membrane permeability. The photocatalytic activity of the coated membranes was evaluated in filtration tests with methylene blue as a probe compound. To compare photocatalytic performance of the two coatings, measured values of the reactive flux (eta) were normalized by reaction rate constants (k '') determined in batch tests with the same catalyst. The proposed modeling approach relates coating's reactivity (eta and k '') to the reactor's geometry expressed in terms of the length of the reaction zone (l(rz)) and coating density (theta). Both coating techniques result in a similar coating quality as witnessed by similar values of eta/k '' (or, equivalently, similar values of theta l(rz)). The proposed analysis offers insights into possible ways for improving each coating technique. (C) 2016 Elsevier B.V. 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。
推荐
暂无数据