层状金属氧化物负载陶瓷膜活化过氧单硫酸盐缓解NOM膜污染

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Zhaoyu Bai , Shanshan Gao , Huarong Yu , Xiwen Liu , Jiayu Tian
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引用次数: 17

摘要

催化膜可同时实现筛分分离和深度氧化,在改善出水水质的同时减少膜污染。在本研究中,将不同的二元层状金属氧化物(M2+Al-LMO: MnAl-LMO, CuAl-LMO和CoAl-LMO)通过真空过滤后煅烧加载到氧化铝陶瓷基膜(AM)上,制备了催化膜(M2+Al@AM)。通过对实际地表水的过滤,考察了催化膜的性能。结果表明,过氧单硫酸根(PMS)的存在可以有效地缓解膜污染,其归一化通量在CoAl@AM/PMS体系中分别从0.28提高到0.62,在CuAl@AM/PMS体系中从0.25提高到0.52,在MnAl@AM/PMS体系中从0.22提高到0.31。相应的,CoAl@AM对地表水中UV254、TOC和荧光成分的去除率最高,其次是CuAl@AM和MnAl@AM。苯酚和糠醇的猝灭作用表明,在M2+Al@AM/PMS体系中,表面结合自由基和单线态氧是主要的活性氧。界面自由能计算证实,原位PMS活化可以增强NOM与膜之间的排斥相互作用,从而减轻膜污染。这项工作为催化陶瓷膜的制备提供了一种新颖而简单的策略,并为催化膜系统中膜污染的缓解机制提供了新的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Layered metal oxides loaded ceramic membrane activating peroxymonosulfate for mitigation of NOM membrane fouling

Layered metal oxides loaded ceramic membrane activating peroxymonosulfate for mitigation of NOM membrane fouling

Catalytic membrane can achieve sieving separation and advanced oxidation simultaneously, which can improve the effluent water quality while reducing membrane fouling. In this study, the catalytic membranes (M2+Al@AM) were fabricated by loading different binary layered metal oxides (M2+Al-LMO: MnAl-LMO, CuAl-LMO and CoAl-LMO) on alumina ceramic substrate membranes (AM) via vacuum filtration followed by calcination process. The performance of the catalytic membranes was investigated by filtering actual surface water. It was found that the presence of peroxymonosulfate (PMS) could mitigate membrane fouling effectively, as evidenced by the increase of normalized flux from 0.28 to 0.62 in CoAl@AM/PMS system, from 0.25 to 0.52 in CuAl@AM/PMS system, and from 0.22 to 0.31 in MnAl@AM/PMS system, respectively. Correspondingly, the CoAl@AM exhibited the highest removal for UV254, TOC and fluorescent components in the surface water, followed by CuAl@AM and MnAl@AM. Quenching effect of phenol and furfuryl alcohol proposed the surface-bound radicals and singlet oxygen were the major reactive oxygen species in the M2+Al@AM/PMS systems. Interface free energy calculations confirmed the in-situ PMS activation could enhance the repulsive interactions between NOM and the membranes, thus mitigating membrane fouling. This work provides an original but simple strategy for catalytic ceramic membrane preparation and new insights into the mechanism of membrane fouling mitigation in catalytic membrane system.

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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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