4.6 Article

A residue-free approach to water disinfection using catalytic in situ generation of reactive oxygen species

期刊

NATURE CATALYSIS
卷 4, 期 7, 页码 575-585

出版社

NATURE RESEARCH
DOI: 10.1038/s41929-021-00642-w

关键词

-

资金

  1. Cardiff University
  2. Max Planck Centre for Fundamental Heterogeneous Catalysis (FUNCAT)
  3. Cardiff University as part of the MAXNET Energy Consortium
  4. University of Bath
  5. Laboratoires Anios
  6. EPSRC [EP/F008538/1]
  7. National Research Foundation (NRF) Singapore [NRF-NRFF11-2019-0002]

向作者/读者索取更多资源

A new study shows that reactive oxygen species formed over a AuPd catalyst during the synthesis of hydrogen peroxide are more effective in eliminating bacteria and viruses compared to preformed hydrogen peroxide and chlorination. This approach could potentially serve as an alternative method for water disinfection in communities lacking access to traditional means of water remediation.
Globally, water disinfection is reliant on chlorination, but requires a route that avoids the formation of chemical residues. Hydrogen peroxide, a broad-spectrum biocide, can offer such an alternative, but is typically less effective than traditional approaches to water remediation. Here, we show that the reactive oxygen species-which include hydroxyl, hydroperoxyl and superoxide radicals-formed over a AuPd catalyst during the synthesis of hydrogen peroxide from hydrogen and air are over 10(7) times more potent than an equivalent amount of preformed hydrogen peroxide and over 10(8) times more effective than chlorination under equivalent conditions. The key to bactericidal and virucidal efficacy is the radical flux that forms when hydrogen and oxygen are activated on the catalyst. This approach could form the basis of an alternative method for water disinfection, particularly in communities not currently served by traditional means of water remediation or where access to potable water is scarce.

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

4.6
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