Mechanistic insights and performance of Mn redox cycling in a dual-bacteria bioreactor for ammonium and Cr(VI) removal

IF 11.4 1区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Water Research Pub Date : 2025-04-23 DOI:10.1016/j.watres.2025.123713

Yue Wang , Yihan Bai , Liang Xu , Junfeng Su , Jingting Feng , Ying Zhang , Wenjing Cheng , Jiangtao Bai

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Abstract

The co-contamination of hexavalent chromium (Cr(VI)) and ammonium (NH₄⁺-N) in industrial wastewater has attracted considerable attention due to its serious threats to both ecological systems and public health. Manganese(IV) (Mn(IV))-driven NH₄⁺-N oxidation (Mnammox) coupled with Mn(II)-mediated denitrification (MnOD), built on the Mn redox cycle, is a promising nitrogen removal process, where Mn(II) and NO_x⁻-N generated during Mnammox were effectively controlled by MnOD. Herein, a bioreactor integrating Mnammox and MnOD for NH₄⁺-N and Cr(VI) removal was constructed utilizing core-shell gel beads embedded with two core strains and δ-MnO₂. When the C/N was 1.5, pH was 6.5, and HRT was 20 h, the removal efficiencies for Cr(VI) and NH₄⁺-N reached 96.3 and 91.3 %, respectively. Cr(VI) can be bioreduced to Cr(III) in bioreactors. Additionally, the microbial activity and electron transfer properties in the Mn redox system were studied under varying Cr(VI) concentrations. High-throughput data revealed that high Cr(VI) concentrations significantly impacted microbial community diversity, while Aromatoleu and Zoogloea consistently remaining the dominant species in the bioreactor. KEGG database analysis showed that appropriately increasing C/N promoted the expression of genes related to nitrification and Mn redox cycling. This study provides novel perspectives on the application of the Mnammox coupled MnOD process driven by the Mn redox cycle for treating NH₄⁺-N and Cr(VI) co-contaminated industrial wastewater.

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双菌生物反应器中Mn氧化还原循环去除氨和铬的机理和性能

工业废水中六价铬（Cr(VI)）和铵（NH4+-N）的共污染严重威胁着生态系统和公众健康，引起了人们的广泛关注。锰（IV）（Mn(IV)）驱动的NH4+-N氧化（Mnammox）耦合Mn（II）介导的反硝化（MnOD）是一种很有前途的脱氮工艺，建立在Mn氧化还原循环的基础上，Mnammox过程中产生的Mn（II）和NOx−-N得到MnOD的有效控制。在此基础上，利用核-壳凝胶珠嵌入两种核心菌株和δ-MnO2，构建了Mnammox和MnOD结合去除NH4+-N和Cr（VI）的生物反应器。当C/N为1.5、pH为6.5、HRT为20 h时，对Cr（VI）和NH4+-N的去除率分别达到96.3和91.3%。Cr（VI）可在生物反应器中被生物还原为Cr（III）。此外，研究了不同浓度Cr（VI）对Mn氧化还原体系中微生物活性和电子转移特性的影响。高通量数据显示，高Cr（VI）浓度显著影响微生物群落多样性，而aromatoeu和Zoogloea在生物反应器中始终保持优势物种。KEGG数据库分析显示，适当提高C/N可促进硝化和Mn氧化还原循环相关基因的表达。本研究为Mn氧化还原循环驱动Mnammox耦合MnOD工艺处理NH4+-N和Cr（VI）共污染工业废水提供了新的应用前景。

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来源期刊

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.