硫酸盐还原菌竞争在电化学系统中对废水处理的影响
Influence of Sulfate Reducing Bacteria Competition on Wastewater Treatment in Electrochemical Systems
何瑶瑶 1李伟超 2陈张毅 3常海 4王捷 5吴云1
作者信息
- 1. 天津工业大学 省部共建分离膜与膜过程国家重点实验室 天津 300387
- 2. 天津工业大学 环境科学与工程学院 天津 300387
- 3. 天津工业大学沧州研究所 沧州 061000
- 4. 北海市环境信息中心 北海 536000
- 5. 中铁建发展集团有限公司 北京 100043
- 折叠
摘要
硫酸盐还原菌(SRB)是一类广泛存在于水环境中的菌群,其在废水处理中发挥着重要作用.水处理过程中菌群竞争不仅是一种常见的微生物行为,也是一种提高处理效能的方法.然而SRB菌群的调控在实际应用中受到多种因素的影响而较难稳定控制.近年来,通过引入电化学对SRB菌群电子传递过程进行人为干预,可实现利用调节菌群竞争过程从而提高硫酸盐去除效能的目的.但目前关于水环境中SRB的菌群行为模式及微生物电化学系统对SRB竞争行为的影响都缺乏总结.本文综述了近年来关于SRB和其他菌群代谢行为、SRB对电子供体的利用及影响SRB菌群竞争的因素,总结了微生物电化学影响SRB菌群中电子转移路径与菌群竞争的关系,并探讨了其未来的发展和挑战.
Abstract
Sulfate reducing bacteria(SRB)is a kind of bacteria widely existing in the water environment,which plays an important role in the wastewater treatment process.Bacterial competition in the water treatment process is a common microbial behavior,and it is also a method to improve wastewater treatment efficiency.However,the regulation of SRB flora is affected by many factors in its practical application,which makes it difficult to control.In recent years,the introduction of electrochemistry can interfere with the electron transfer process of SRB flora,and can improve sulfate removal efficiency by regulating the competition process of flora.However,there is a lack of summary on the microbial community behavior of SRB in a water environment and the impact of the microbial electrochemical system on the competitive behavior of SRB.To fill these knowledge gaps,the metabolic behavior of SRB and other flora,the utilization of electron donors by SRB and the factors affecting the competition of SRB flora were reviewed in this study.The relationship between electron transfer pathways and the competition of SRB flora in microbial electrochemistry was summarized,and its future development and challenges were comprehensively discussed.
关键词
硫酸盐还原菌/菌群竞争/微生物电化学/电子供体/电子介导/碳硫比Key words
sulfate reducing bacteria/microbial competition/microbial electrochemistry/electron donor/electron mediated/carbon sulfur ratio(C/S)引用本文复制引用
出版年
2024
NETL
NSTL
万方数据