Enhanced virucidal activity of facet-engineered Cu-doped TiO2 nanorods under visible light illumination

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2024-10-05 DOI:10.1016/j.watres.2024.122579
Juri Lee, Joohyun Kim, Sungwon Kim, Taewan Kim, Ki-Myeong Lee, Jiyoon Cho, Jae-Woo Choi, Jee Yeon Kim, Yong Won Jeong, Hee-Jin Park, Changha Lee
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Abstract

Crystal facet engineering has emerged as a promising approach to enhance photocatalytic activity of semiconductors by preferentially accumulating charge carriers (electrons and holes) on specific facets. This facilitates efficient electron and hole transfer across the semiconductor/cocatalyst interface, enabling their transport to the cocatalyst surface for redox reactions. In this study, three Cu-doped TiO2 nanorods with small, medium, and large ratios of reductive {110} to oxidative {111} facets were synthesized (namely Cu-TiO2-SR, Cu-TiO2-MR, and Cu-TiO2-LR, respectively). These materials were comparatively evaluated for the inactivation of phiX174 bacteriophage under visible light illumination. Notably, Cu-TiO2-LR demonstrated an outstanding inactivation rate of phiX174 (0.42 log inactivation/min), approximately 11.8 times higher than that of Cu-TiO2-SR. Photo- and electro-chemical analyses revealed that Cu-TiO2-LR exhibited superior electron/hole separation efficiency, leading to enhanced Cu redox reactions. Various experiments, encompassing viral inactivation tests with different additives, protein oxidation assays, and DNA damage assessments, indicated that Cu(III) is the major virucidal species responsible for the phiX174 inactivation by illuminated Cu-TiO2-LR. Under visible light illumination, Cu-TiO2-LR also showed excellent reusability and minimal activity loss in the presence of humic acid and inorganic anions, as well as general microbicidal effects on other viral and bacterial species.

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在可见光照射下增强刻面工程铜掺杂 TiO2 纳米棒的杀病毒活性
晶体刻面工程是通过在特定刻面上优先聚集电荷载流子(电子和空穴)来提高半导体光催化活性的一种有前途的方法。这有利于电子和空穴在半导体/催化剂界面上的高效转移,使它们能够传输到催化剂表面进行氧化还原反应。本研究合成了三种铜掺杂的 TiO2 纳米棒,它们的还原性{110}面与氧化性{111}面的比例分别为小、中和大(即 Cu-TiO2-SR、Cu-TiO2-MR 和 Cu-TiO2-LR)。比较评估了这些材料在可见光照射下对 phiX174 噬菌体的灭活作用。值得注意的是,Cu-TiO2-LR 对 phiX174 的灭活率非常高(0.42 对数灭活/分钟),大约是 Cu-TiO2-SR 的 11.8 倍。光化学和电化学分析表明,Cu-TiO2-LR 表现出卓越的电子/空穴分离效率,从而增强了铜氧化还原反应。各种实验(包括使用不同添加剂的病毒灭活测试、蛋白质氧化测试和 DNA 损伤评估)表明,Cu(III) 是光照 Cu-TiO2-LR 灭活 phiX174 的主要杀病毒物质。在可见光照射下,Cu-TiO2-LR 还表现出良好的重复使用性,在腐殖酸和无机阴离子存在时活性损失极小,对其他病毒和细菌种类也有一般的杀微生物作用。
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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
期刊介绍: Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.
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