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    蓝藻发酵碳源强化污水反硝化脱氮研究

    Enhancing Sewage Denitrification Using Carbon Source Derived from Cyanobacterial Fermentation

    • 摘要: 为解决污水处理厂进水碳氮比(C/N比)低导致反硝化碳源不足的问题,本研究开发了一条利用蓝藻制备高效反硝化碳源的技术路线。通过热碱预处理联用中温厌氧发酵工艺转化蓝藻,获得挥发性脂肪酸(VFAs)质量浓度为15 582.00 mg/L的发酵液,其中乙酸占比为72.94%。针对发酵液高氨氮的特性,采用真空热汽提法进行脱氮,在pH=10.5、温度53 ℃、反应时间40 min条件下,氨氮去除率达到93.77%。对脱氮后发酵液作为反硝化碳源的性能进行评估。实验表明,在C/N=6、pH=7最佳条件下,该碳源的反硝化效率优异,硝态氮去除率为99.46%,且亚硝态氮积累量显著低于乙酸钠体系。反硝化能力(PDN)表明,脱氮发酵液的PDN值(0.192 g N/g COD)优于传统碳源(乙酸钠0.176 g N/g COD和葡萄糖0.150 g N/g COD)。反应器连续运行表明,发酵液碳源在C/N≥5时,平均硝态氮去除率稳定在98.61%以上,平均TN去除率>82%,能维持稳定高效的反硝化性能。研究表明,经脱氮处理的蓝藻发酵液是一种高效、稳定的替代碳源,可为蓝藻资源化处置与污水深度脱氮提供可行方案。

       

      Abstract: Facing the dual challenges of the sustainable disposal of harvested cyanobacteria from eutrophic water bodies and the lack of bioavailable carbon for denitrification in sewage treatment plants with a low C/N ratio influent, this study aimed to develop and evaluate an integrated process for converting cyanobacterial biomass into an efficient liquid carbon source, thereby providing a synergistic solution for both waste valorization and enhanced nitrogen removal. To achieve this, cyanobacteria collected from Taihu Lake in China were first subjected to thermo-alkaline pretreatment to disrupt the cell walls. This was followed by mesophilic anaerobic fermentation to produce a volatile fatty acid (VFA)-rich fermentation broth. Due to the high ammonium nitrogen content, the broth was subsequently treated via vacuum thermal stripping, and the effects of pH, temperature, and stripping time on ammonia removal were systematically optimized. Finally, the denitrification performance of the de-ammoniated broth was assessed in both batch experiments and a continuous-flow reactor with activated sludge. The influences of the C/N ratio and pH were investigated, and the broth was compared with sodium acetate and glucose. Nitrogen species were monitored, and the denitrification potential (PDN) was calculated. The broth produced by anaerobic fermentation contained 15,582.00 mg/L of VFAs, with acetate accounting for 72.94%. The optimized vacuum thermal stripping process achieved 93.77% NH4 +-N removal at pH 10.5, 53 °C, and 40 min, increasing the C/N ratio from 11.25 to 70.59, thus making the broth a suitable carbon source. Denitrification tests revealed that a C/N ratio of 6 and a pH of 7 were optimal, achieving 99.46% nitrate removal. Notably, the maximum nitrite accumulation was significantly lower than that observed in the sodium acetate system. The PDN value for the cyanobacteria broth (0.192 g N/g COD) exceeded that of sodium acetate (0.176 g N/g COD) and glucose (0.150 g N/g COD). Operation of the continuous-flow reactor indicated that when the carbon source in the fermentation broth had a C/N ratio ≥ 5, the average nitrate removal efficiency remained stable at over 98.61%, and the average total nitrogen removal efficiency exceeded 82%, demonstrating stable and efficient denitrification performance. In conclusion, this study demonstrated that cyanobacterial biomass can be efficiently converted into a promising external carbon source for sewage denitrification through a sequential process comprising thermo-alkaline pretreatment, anaerobic fermentation, and vacuum thermal stripping. The fermentation broth exhibited better denitrification performance than commercial carbon sources like glucose and showed an advantage over sodium acetate in terms of lower nitrite accumulation and higher intrinsic carbon efficiency (PDN). This verifies the technical feasibility and effectiveness of the proposed strategy, offering a sustainable solution for both algal waste mitigation and enhanced nitrogen removal in sewage treatment. Moreover, this circular strategy transforms environmental waste into a valuable resource, potentially reducing the carbon footprint associated with both algal disposal and synthetic carbon production. The complex components in the broth appeared to promote more stable denitrification kinetics with reduced accumulation of intermediates compared to pure compounds, suggesting operational benefits for improved process stability.

       

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