Liu Xuemei, Wan Kai, Xiao Chunqiao, Hu Jingang, Deng Xiangyi, Chi Ruan
Key Laboratory for Green Chemical Process of Ministry of Education, Wuhan Institute of Technology, Wuhan 430205, China.
School of Chemical and Materials Engineering, College of Post and Telecommunication of Wuhan Institute of Technology, Wuhan 430073, China.
Microorganisms. 2025 Apr 14;13(4):899. doi: 10.3390/microorganisms13040899.
The leachate from ion-adsorbed rare earth tailings poses challenges to the application of the anaerobic ammonium oxidation (anammox) process in this field due to its large fluctuations in ammonia nitrogen concentration (50-300 mg/L) and high flow rate (4000-10,000 m/d). This study investigated the effects of nitrogen-loading rate (NLR) regulation on denitrification performance through reactor operation and elucidated the mechanisms of NLR impacts on anammox processes via microbial community analysis and metabolic profiling. The results revealed a nonlinear relationship between nitrogen loading and system performance. As NLR increased, both denitrification efficiency and anammox bacterial abundance (rising from 5.85% in phase P1 to 11.43% in P3) showed synchronous enhancement. However, excessive nitrogen loading (>3.68 kg/m·d) or nitrogen starvation led to performance deterioration and reduced anammox bacterial abundance. Microbial communities adopted modular collaboration to counteract loading stress, with modularity indices of 0.563 and 0.545 observed in the inhibition phase (P2) and starvation phase (P4), respectively. Zi-Pi plot analysis demonstrated a significant increase in inter-module connectivity, indicating reinforced interspecies interactions among microorganisms to resist nitrogen-loading fluctuations.
离子吸附型稀土尾矿渗滤液由于氨氮浓度波动大(50 - 300毫克/升)和流量高(4000 - 10000立方米/天),给厌氧氨氧化(anammox)工艺在该领域的应用带来了挑战。本研究通过反应器运行研究了氮负荷率(NLR)调节对反硝化性能的影响,并通过微生物群落分析和代谢谱分析阐明了NLR对anammox工艺影响的机制。结果表明氮负荷与系统性能之间存在非线性关系。随着NLR的增加,反硝化效率和厌氧氨氧化细菌丰度(从P1阶段的5.85%上升到P3阶段的11.43%)均同步提高。然而,过量的氮负荷(>3.68千克/立方米·天)或氮饥饿会导致性能下降和厌氧氨氧化细菌丰度降低。微生物群落采用模块化协作来应对负荷压力,在抑制阶段(P2)和饥饿阶段(P4)观察到的模块化指数分别为0.563和0.545。Zi - Pi图分析表明模块间连通性显著增加,表明微生物之间的种间相互作用增强以抵抗氮负荷波动。