Enhanced Biofilm-dependent Biogas Upgrading from Waste Activated Sludge Fermentation Liquor in Microbial Electrolysis Cells

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2024-10-21 DOI:10.1016/j.watres.2024.122675
Lei Li, Lezhu Su, Jun Gao, Shiyu Liu, Shijie Yuan, Nan Zhou, Zhi Zhou, Dongdong Wang, Yan Zhou, Xiaohu Dai
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Abstract

This study demonstrated that metal-organic frameworks (MOFs)-derived Fe-NC cathode improved both methane yield and methane content in a microbial electrolysis cell-coupled anaerobic digestion (MEC-AD) system treating waste activated sludge (WAS) fermentation liquor. Results revealed that Fe-NC maintained a meso-macroporous structure with a large specific surface area of 1381 m2/g and superior electrochemical properties. Its calculated specific capacitance and electron transfer resistance were 5.7 and 0.4 times of the carbon felt (CF) group. The bacterial and archaeal gene loads of Fe-NC biofilm after multiple acclimation cycles were 5.69E+10 and 1.86E+9 copies/cm2 and Proteiniphilum and Methanobacterium were the most enriched syntrophs from stage Ⅰ to stage Ⅱ acclimation. Corresponding maximum methane yield and content achieved were 0.31 m3 CH4/kg COD and 92.8%, and its CO2-dependent methane production was improved by 107.6%. Mechanistic investigations showed that Fe-NC biofilm improved enzyme-associated CO2 reduction pathway companying by promoting the intra- and extracellular electron transfer as well as ATP synthesis, therefore favoring methanogenic energetic metabolism. More importantly, an enhanced proton-coupled electron transfer (PCET) process was proposed within Fe-NC biofilm, providing a synergistic advantage over unbalanced conventional sole electron/proton transfer. This work provides an effective strategy to strengthen the waste-to-energy and biogas upgrading technology, potentially bringing economic benefits to wastewater treatment.

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在微生物电解池中强化生物膜对废弃活性污泥发酵液的沼气提升作用
这项研究表明,在处理废弃活性污泥(WAS)发酵液的微生物电解池耦合厌氧消化(MEC-AD)系统中,金属有机框架(MOFs)衍生的 Fe-NC 阴极提高了甲烷产量和甲烷含量。研究结果表明,Fe-NC 保持着中-大孔结构,比表面积大(1381 m2/g),电化学性能优越。计算得出的比电容和电子转移电阻分别是碳毡(CF)组的 5.7 倍和 0.4 倍。经过多个适应周期后,Fe-NC 生物膜的细菌和古细菌基因载量分别为 5.69E+10 和 1.86E+9 拷贝/cm2,从Ⅰ阶段到Ⅱ阶段的适应过程中,Proteiniphilum 和 Methanobacterium 是最富集的合成营养体。相应的最大甲烷产量和含量分别为 0.31 m3 CH4/kg COD 和 92.8%,其 CO2 依赖性甲烷产量提高了 107.6%。机理研究表明,Fe-NC 生物膜通过促进细胞内外的电子传递和 ATP 合成,改善了与酶相关的 CO2 还原途径,从而有利于甲烷菌的能量代谢。更重要的是,在 Fe-NC 生物膜中提出了一种增强的质子耦合电子传递(PCET)过程,与不平衡的传统单一电子/质子传输相比,具有协同优势。这项工作为加强废物变能源和沼气升级技术提供了一种有效的策略,有可能为污水处理带来经济效益。
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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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