Nitrogen removal performance and microbial community dynamics in simultaneous anammox-denitrification filter column under tetracycline stress

IF 3.7 3区生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Biochemical Engineering Journal Pub Date : 2025-09-17 DOI:10.1016/j.bej.2025.109937

Ting Sun , Yongbao Pan , Xiyan Du , Chunyan Ren , Qian Huang , Huihui Zhang , Chongyang Wang , Yong-tao Lv

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Abstract

Antibiotic accumulation causes serious environmental and health risks. However, its impact on the performance of anaerobic ammonium oxidation (anammox)-based nitrogen removal system remains poorly understood. In this study, a simultaneous anammox and denitrification (SAD) filter column reactor was constructed and the long-term effects of tetracycline (TC) on its total nitrogen (TN) removal efficacy and microbial community dynamics were investigated. Results demonstrated that the SAD system achieved a TN removal efficiency of 86.2 % with a low nitrate concentration in effluent (3.73 mg·L⁻¹). At 0.05–0.2 mg·L⁻¹ TC, the TN removal efficiency of system increased to 95.6 %. However, 0.5 mg·L⁻¹ TC induced short-term inhibition of the activity of anammox bacteria (AnAOB) and the TN removal efficiency of system decreased to 87.8 %. However, the TN removal efficiency of system recovered to 95.9 % after 21 days. Further analysis revealed that TC stress increased the particle size of granular sludge to 536.5 μm and elevated the proportion of tightly bound extracellular polymeric substances (TB-EPS) to 63.7 %. Microbial community analysis revealed spatial heterogeneity, with the bottom layer (0–15 cm) being enriched with Candidatus Kuenenia (12.7 %) and the middle layer (15–35 cm) being dominated by the denitrifying bacteria Denitratisoma (37.4 %). This study provides a theoretical basis and process optimization strategy for efficient treatment of antibiotic-rich wastewater via SAD process.

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四环素作用下厌氧氨氧化-反硝化滤池脱氮性能及微生物群落动态

抗生素的积累造成严重的环境和健康风险。然而，其对厌氧氨氧化（anammox）脱氮系统性能的影响尚不清楚。本研究构建了厌氧氨氧化与反硝化（SAD）同步滤塔反应器，考察了四环素（TC）对反应器中总氮（TN）去除效果和微生物群落动态的长期影响。结果表明，该系统对TN的去除率为86.2 %，出水硝酸盐浓度低（3.73 mg·L⁻¹）。在0.05 ~ 0.2 mg·L⁻¹ TC时，系统对TN的去除率提高到95.6% %。0.5 mg·L⁻¹ TC对厌氧氨氧化菌（AnAOB）的活性有短期抑制作用，系统对TN的去除率降至87.8% %。21天后，系统对TN的去除率恢复到95.9% %。进一步分析表明，TC应力使颗粒污泥粒径增大至536.5 μm，并使紧密结合的细胞外聚合物（TB-EPS）的比例提高至63.7 %。微生物群落分析显示出空间异质性，底层（0 ~ 15 cm）以Kuenenia Candidatus为主（12.7 %），中层（15 ~ 35 cm）以反硝化菌Denitratisoma为主（37.4 %）。本研究为SAD工艺高效处理含抗生素废水提供了理论依据和工艺优化策略。

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来源期刊

Biochemical Engineering Journal 工程技术-工程：化工

CiteScore

7.10

自引率

5.10%

发文量

380

审稿时长

34 days

期刊介绍： The Biochemical Engineering Journal aims to promote progress in the crucial chemical engineering aspects of the development of biological processes associated with everything from raw materials preparation to product recovery relevant to industries as diverse as medical/healthcare, industrial biotechnology, and environmental biotechnology. The Journal welcomes full length original research papers, short communications, and review papers* in the following research fields: Biocatalysis (enzyme or microbial) and biotransformations, including immobilized biocatalyst preparation and kinetics Biosensors and Biodevices including biofabrication and novel fuel cell development Bioseparations including scale-up and protein refolding/renaturation Environmental Bioengineering including bioconversion, bioremediation, and microbial fuel cells Bioreactor Systems including characterization, optimization and scale-up Bioresources and Biorefinery Engineering including biomass conversion, biofuels, bioenergy, and optimization Industrial Biotechnology including specialty chemicals, platform chemicals and neutraceuticals Biomaterials and Tissue Engineering including bioartificial organs, cell encapsulation, and controlled release Cell Culture Engineering (plant, animal or insect cells) including viral vectors, monoclonal antibodies, recombinant proteins, vaccines, and secondary metabolites Cell Therapies and Stem Cells including pluripotent, mesenchymal and hematopoietic stem cells; immunotherapies; tissue-specific differentiation; and cryopreservation Metabolic Engineering, Systems and Synthetic Biology including OMICS, bioinformatics, in silico biology, and metabolic flux analysis Protein Engineering including enzyme engineering and directed evolution.