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解析亚硫酸盐驱动自养反硝化反应器中 S/N 比的影响。

Deciphering the influence of S/N ratio in a sulfite-driven autotrophic denitrification reactor.

机构信息

College of Environmental Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, China; Innovation Center for Postgraduate Education in Municipal Engineering of Shanxi Province, Taiyuan 030024, China.

College of Environmental Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, China; Innovation Center for Postgraduate Education in Municipal Engineering of Shanxi Province, Taiyuan 030024, China.

出版信息

Sci Total Environ. 2022 Aug 25;836:155612. doi: 10.1016/j.scitotenv.2022.155612. Epub 2022 Apr 30.

Abstract

Sulfur-based autotrophic denitrification is a cost-effective alternative to heterotrophic denitrification for nitrate removal due to no need of external organic carbon supply. Herein, sulfite-driven autotrophic denitrification (SDAD) was firstly established in a sequencing batch biofilm reactor treating high-strength nitrate-containing wastewater added by the sulfite. The nitrogen removal performance was mainly investigated under a molar ratio of sulfur-to‑nitrogen (S/N) ranging from 0.44 to 3.07 in a total of 180-day operation. Long-term experiment showed the optimal of S/N was found to be 2.63, much close to the stoichiometric value, achieving the highest autotrophic denitrification rate and complete total nitrogen removal efficiency (TNRE) with 92.4 ± 0.3%. Cyclical trial confirmed nitrate reduction and sulfite oxidation simultaneously occurred along with sulfate formation. Meanwhile, nitrite accumulation was observed at a very low S/N conditions. Microbial community analysis identified that Sulfurovum, Thiobacillus, and Thermomonas as key denitrifying sulfur-oxidizing bacteria responsible for SDAD. Moreover, the dynamic shift in functional microorganisms affected by influent S/N was also detected. Finally, the metabolic pathway of SDAD process was unraveled via the cooperative encoding of sulfite oxidases (Sor, Apr, Sat) and nitrate-reducing genes. This study sheds light on a new sulfur-cycle autotrophic denitrification process for the bioremediation of nitrate-contaminated wastewater.

摘要

基于硫的自养反硝化是一种去除硝酸盐的经济有效的替代方法,因为不需要外部有机碳源。本文首次在序批式生物膜反应器中建立了亚硫酸盐驱动的自养反硝化(SDAD),用于处理添加亚硫酸盐的高强度含硝酸盐废水。在总共 180 天的运行中,主要研究了硫氮摩尔比(S/N)在 0.44 至 3.07 范围内的脱氮性能。长期实验表明,最佳 S/N 为 2.63,接近化学计量值,实现了最高的自养反硝化率和 92.4±0.3%的完全总氮去除效率(TNRE)。循环试验证实了硝酸盐还原和亚硫酸盐氧化同时发生,并伴随着硫酸盐的形成。同时,在非常低的 S/N 条件下观察到亚硝酸盐积累。微生物群落分析确定 Sulfurovum、Thiobacillus 和 Thermomonas 是负责 SDAD 的关键反硝化硫氧化细菌。此外,还检测到受进水 S/N 影响的功能微生物的动态变化。最后,通过亚硫酸盐氧化酶(Sor、Apr、Sat)和硝酸盐还原基因的协同编码,揭示了 SDAD 过程的代谢途径。本研究为硝酸盐污染废水的生物修复提供了一种新的硫循环自养反硝化工艺。

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