In-situ synthesis of FeS nanoparticles enhances Sulfamethoxazole degradation via accelerated electron transfer in anaerobic bacterial communities

IF 12.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2025-04-01 Epub Date: 2024-12-21 DOI:10.1016/j.watres.2024.123025
Yaru Zhang , Zhaoyong Bian , Feng Wang , Yiyin Peng , Wenyu Xiao , Qiang Zhang
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Abstract

The impact of nanominerals on microbial electron transfer and energy metabolism strategies during pollutant degradation remains uncertain. This study used in situ synthesized FeS nanoparticles (FeS NPs) to increase the degradation efficiency of SMX by anaerobic bacterial communities from 25.80 % to 47.60 %. The proportion of intracellular degradation by bacteria in the community significantly increased by 23.25 times, which mainly facilitated by NADH-dependent reductases and iron-sulfur proteins. Microbial network analysis and electrochemical analysis indicated that the in-situ synthesis of FeS NPs altered the interactions among different microbial species, enabling Petrimonas to transfer electrons directly to Lysinibacillus more effectively. This adjustment led to an increase in the activity of the electron transport system by 1.2 times, an increase in the electron supply capacity by 2.8 times, and a decrease in the electrochemical impedance (EIS) to 3.21 Ω. Moreover, the coupling of electron transfer pathways and protease transport channels significantly increased Na+/K+-ATPase by 14.72 times. Inhibitor experiments and molecular dynamics (MD) results showed that FeS NPs interact with Nqo1 in the cell membrane via electrostatic force at -28.573 kcal/mol, forming a unique electron conduit with ubiquinone (CoQ). This study provides new insights into the role of in situ nanominerals in electron transfer between different microorganisms, aim to enhance the antibiotic wastewater treatment efficiency in actual anaerobic processes.

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原位合成FeS纳米颗粒通过加速电子转移促进厌氧细菌群落对磺胺甲恶唑的降解
纳米矿物对污染物降解过程中微生物电子转移和能量代谢策略的影响尚不确定。本研究利用原位合成的FeS纳米颗粒(FeS NPs)将厌氧细菌群落对SMX的降解效率从25.80%提高到47.60%。群落内细菌的胞内降解比例显著增加了23.25倍,主要由nadh依赖性还原酶和铁硫蛋白促进。微生物网络分析和电化学分析表明,原位合成FeS NPs改变了不同微生物物种之间的相互作用,使petronas能够更有效地将电子直接传递给Lysinibacillus。这种调整导致电子传递系统的活性增加了1.2倍,电子供应能力增加了2.8倍,电化学阻抗(EIS)降低到3.21 Ω。此外,电子传递途径和蛋白酶转运通道的耦合使Na+/K+- atp酶显著增加了14.72倍。抑制剂实验和分子动力学(MD)结果表明,FeS NPs与细胞膜上的Nqo1以-28.573 kcal/mol的静电力相互作用,与泛醌(CoQ)形成独特的电子通道。本研究为原位纳米矿物在不同微生物之间的电子传递中的作用提供了新的认识,旨在提高实际厌氧工艺中抗生素废水的处理效率。
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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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