光谱对藻菌共生系统处理海水养殖尾水的影响

    Effects of light spectrum on the treatment of mariculture wastewater by a microalgae-bacteria symbiotic system

    • 摘要:
      背景 随着中国海水养殖规模不断扩大,养殖尾水排放带来的环境压力日益突出。微藻−细菌共生系统(MBSS)作为一种绿色、高效的水处理技术,其净水效能受光照条件影响,但不同光谱对该系统处理含氮污染物过程中的调控机制尚不明确。
      目的 本研究旨在探究白光、蓝光、绿光、红光4种光谱对MBSS处理模拟海水养殖尾水的影响,评估其对污染物的去除效能、系统内叶绿素(Chl)与胞外聚合物(EPS)含量及微生物群落结构的调控作用。
      方法 以海水小球藻(Chlorella sp. )和复合菌剂构建MBSS,分别置于4种发光二极管(LED)光谱下开展间歇与连续运行两阶段实验,测定水质指标氨态氮(NH4+-N)、亚硝酸盐氮(NO2-N)、硝酸盐氮(NO3-N)、Chl及EPS含量,并采用16S rRNA基因高通量测序和功能预测分析微生物群落结构与代谢潜力。
      结果 4种光谱条件下,MBSS对NH4+-N去除率均达99.90%以上。绿光组NO3-N去除率最高(80.00%),总无机氮(TIN)去除率达82.10%,但伴随NO2-N微量积累(0.15 mg/L)。绿光组Chl总量(6.10 mg/L)和EPS总量(8.77 mg/L)高于其他组。微生物群落分析显示,绿光组α多样性最高,Shannon指数和Simpson指数均高于其他组,群落结构发生重塑。反硝化功能菌热带单胞菌属(Tropicimonas)相对丰度高达23.70%,为其他组的1.93~3.54倍;兼性厌氧菌预测丰度(9.50%)和生物膜形成菌预测丰度(15.40%)均为各组最高,而致病菌比例较低。功能预测表明,绿光组独有铁呼吸和芳香族化合物降解功能,硝酸盐还原、氮呼吸等功能基因丰度亦高于其他组。
      结论 绿光通过定向调控微生物群落结构,富集反硝化功能菌群并促进EPS分泌,促进了MBSS的高效代谢与功能稳定并兼具复杂有机物降解潜力,从而实现对海水养殖尾水中污染物的高效去除。本研究可为光控型藻菌共生尾水处理装置的研发与运行参数制定提供理论依据和数据支撑。

       

      Abstract:
      Background With the continuous expansion of marine aquaculture in China, the environmental pressure caused by aquaculture wastewater discharge has become increasingly severe. Microalgae-bacteria symbiotic system (MBSS) is an environmentally sustainable and highly efficient technology for wastewater treatment, the performance is significantly influenced by light conditions. However, the regulatory mechanism of different spectra on the nitrogen-containing pollutants removal remain unclear.
      Objective This study aims to explore the effects of four light spectra (white, blue, green, and red light) on mariculture wastewater treatment by MBSS, and evaluate their regulatory effects on the pollutant removal efficiency, chlorophyll content, extracellular polymeric substances (EPS) content and the microbial community structure.
      Methods MBSS was constructed with marine Chlorella sp. and compound bacterial agents. Two-stage experiments of batch and continuous operation were carried out under the four LED spectra. Water quality indicators (NH4+-N, NO2-N, NO3-N), chlorophyll and EPS content were measured. 16S rRNA high-throughput sequencing and functional prediction were used to analyzed the microbial community structure and metabolic potential.
      Results Under all light spectra, NH4+-N removal efficiency exceeded 99.90%. The Group G achieved the highest NO3-N removal efficiency (80.00%) and total inorganic nitrogen removal efficiency (82.10%), accompanied by slight NO2-N accumulation (0.15 mg/L). Total chlorophyll content (6.10 mg/L) and total EPS content (8.77 mg/L) in the Group G were higher than those in other groups. Microbial community analysis revealed that the Group G had the highest alpha diversity (Shannon and Simpson indices), and its community structure was reshaped. The relative abundance of the denitrifying bacterium Tropicimonas reached 23.70%, which was 1.93-3.54 times that in the other groups. The predicted abundances of facultative anaerobes (9.50%) and biofilm-forming bacteria (15.40%) were the highest among all groups, whereas the proportion of pathogenic bacteria was lower. Functional predictions indicated that iron respiration and aromatic compound degradation were unique to the Group G, and the abundance of functional genes related to nitrate reduction and nitrogen respiration was also higher than in other groups.
      Conclusion Green light promotes the efficient metabolism and functional stability of the MBSS and endows it with the potential to degrade complex organic matter by directionally regulating the microbial community structure, enriching denitrifying functional flora, and promoting the secretion of extracellular polymeric substances (EPS). As a result, it achieves the efficient removal of pollutants in mariculture wastewater. This study provides theoretical underpinnings and data support for the development and determination of operational parameters of light-controlled microalgal-bacterial symbiotic wastewater treatment systems.

       

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