Toward one-step As(III) removal in ultrafiltration with in situ BioMnOx cake layer: Mechanism and feasibility insights

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2025-01-01 DOI:10.1016/j.watres.2025.123087
Kai Li , Yao Lu , Chu Zhou , Zizheng Liu , Liang Luo , Aijuan Zhou , Senlin Shao
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Abstract

Inorganic arsenic (As) is one of the most significant chemical contaminants in drinking water worldwide. Although membrane-based technologies are commonly used for As removal, they often encounter challenges including complex operation, high energy consumption, and the need for chemical addition. To address these challenges, we proposed a one-step ultrafiltration (UF) process empowered by in situ biogenic manganese oxides (BioMnOx) cake layers without any additional chemicals, to treat source water contaminated with both As and manganese (Mn). During the filtration, BioMnOx continuously generated on the membrane surface with the oxidation of Mn2+ by Mn-oxidizing bacteria. The in situ generated BioMnOx cake layer exhibited a heterogeneous structure, high specific surface area, and significant catalytic activity. Notably, with this BioMnOx cake layer, the one-step UF successfully achieved a nearly 100% removal of As(III). This high efficiency is due to the catalytic oxidation of As(III) to As(V) by BioMnOx, followed by the adsorption of As(V) onto the BioMnOx surface. With the removal of Mn2+, new BioMnOx was continuously formed, which provided new catalytic and adsorption sites, thereby enabling a self-sustained removal of As(III). In addition to the advantages of simple operation and chemical free, the process also exhibited a good economic feasibility with a low energy consumption (0.078 kWh/m3) and a low operating cost (0.229 CNY/m3). Our study provides an example to show that cake layers on membranes are not inherently detrimental and can be beneficial in specific applications.

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原位生物氧化物饼层超滤一步去除As(III):机理和可行性见解
无机砷是世界范围内饮用水中最重要的化学污染物之一。尽管基于膜的技术通常用于As的去除,但它们经常遇到复杂的操作、高能耗和需要化学添加等挑战。为了解决这些挑战,我们提出了一种一步超滤(UF)工艺,该工艺由原位生物氧化锰(BioMnOx)滤饼层支持,无需任何额外的化学物质,以处理被砷和锰(Mn)污染的水源水。在过滤过程中,随着mn氧化菌对Mn2+的氧化,BioMnOx不断沉积在膜表面。原位生成的BioMnOx饼层具有非均相结构、高比表面积和显著的催化活性。值得注意的是,使用这种BioMnOx饼层,一步UF成功地实现了近100%的As(III)去除。这种高效率是由于BioMnOx将As(III)催化氧化为As(V),然后将As(V)吸附在BioMnOx表面。随着Mn2+的去除,新的BioMnOx不断形成,提供了新的催化和吸附位点,从而实现了As(III)的自我持续去除。除操作简单、无化学品等优点外,该工艺能耗低(0.078 kWh/m3),运行成本低(0.229元/m3),具有良好的经济可行性。我们的研究提供了一个例子,表明膜上的蛋糕层本身并不是有害的,在特定的应用中可能是有益的。
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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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