低紫外剂量,高效率:远紫外vc和高铁酸盐(VI)的协同耦合超快选择性降解微污染物

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Wenxin Shi, Chi Zhang, He Zhao, Heli Tang, Yanan Liu, Bing Zhang
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引用次数: 0

摘要

提高活性物质的反应活性和产率,以降低激活高铁酸盐(Fe(VI))所需的紫外线(UV)通量,对于推进基于UV的Fe(VI)工艺向实际废水处理应用至关重要,但仍具有挑战性。在此,我们开发了一种远紫外驱动的Fe(VI)活化系统,用于有效降解微污染物。结果表明,在pH 8.0条件下,从传统的低压紫外灯(LPUV, UV254)和UVA365切换到222 nm远紫外灯,在29.76 mJ/cm2的极低紫外剂量下实现了卡马西平(CBZ)的超快速降解。与UV254和UVA365光解Fe(VI)相比,基于荧光的降解速率常数分别提高了15.8倍和142.0倍。这种改善的降解可归因于系统中高价铁中间体[(Fe(V)/Fe(IV)]的生成增加。值得注意的是,复合基质的存在几乎不影响CBZ的降解,与单独的Fe(VI)相比,UV222/Fe(VI)体系在各种真实水域中保持了显著增强的性能。此外,选择10种结构多样的污染物进行UV222/Fe(VI)体系的选择性评价,发现它们的lnkobs值与其EHOMO和垂直IP具有良好的相关性(R2 = 0.86)。综上所述,本研究提出了一种高效、节能、经济、选择性强的快速去除微污染物的氧化技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Low ultraviolet dose with high efficiency: Synergistic coupling of far-UVC and ferrate(VI) for ultrafast and selective degradation of micropollutants

Low ultraviolet dose with high efficiency: Synergistic coupling of far-UVC and ferrate(VI) for ultrafast and selective degradation of micropollutants
Enhancing the reactivity and yield of reactive species to reduce the ultraviolet (UV) fluence requirement for activating ferrate (Fe(VI)) is critical for advancing UV-based Fe(VI) processes toward practical wastewater treatment applications, yet it remains challenging. Herein, we developed a far-UVC-driven Fe(VI) activation system for the efficient degradation of micropollutants. The results demonstrated that switching from conventional low-pressure UV lamps (LPUV, UV254) and UVA365 to 222 nm far-UVC achieved ultrafast degradation of carbamazepine (CBZ) at an extremely low UV dose of 29.76 mJ/cm2 under pH 8.0 conditions. The fluence-based degradation rate constants were 15.8 and 142.0 times higher than those achieved by UV254 and UVA365 photolysis of Fe(VI), respectively. This improved degradation can be attributed to the increased generation of high-valent iron intermediates [(Fe(V)/Fe(IV)] in the system. Notably, the presence of complex matrixes barely influenced CBZ degradation, and the UV222/Fe(VI) system maintained significantly enhanced performance in various real waters compared to Fe(VI) alone. Additionally, 10 structurally diverse pollutants were selected for evaluation the selectivity of the UV222/Fe(VI) system, finding that their lnkobs values correlated well with their EHOMO and vertical IP (R2 = 0.86). Overall, this study proposes a promising oxidation technology that was efficient, energy-saving, cost-effective, and selective for the rapid elimination of micropollutants.
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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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