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参与从燃煤废水中生物去除氨氮的微生物群落。

Microbial communities involved in biological ammonium removal from coal combustion wastewaters.

机构信息

Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831-6036, USA.

出版信息

Microb Ecol. 2013 Jul;66(1):49-59. doi: 10.1007/s00248-012-0152-5. Epub 2013 Jan 13.

Abstract

The efficiency of a novel integrated treatment system for biological removal of ammonium, nitrite, nitrate, and heavy metals from fossil power plant effluent was evaluated. Microbial communities were analyzed using bacterial and archaeal 16S rRNA gene clone libraries (Sanger sequences) and 454 pyrosequencing technology. While seasonal changes in microbial community composition were observed, the significant (P = 0.001) changes in bacterial and archaeal communities were consistent with variations in ammonium concentration. Phylogenetic analysis of 16S rRNA gene sequences revealed an increase of potential ammonium-oxidizing bacteria (AOB), Nitrosomonas, Nitrosococcus, Planctomycetes, and OD1, in samples with elevated ammonium concentration. Other bacteria, such as Nitrospira, Nitrococcus, Nitrobacter, Thiobacillus, ε-Proteobacteria, Firmicutes, and Acidobacteria, which play roles in nitrification and denitrification, were also detected. The AOB oxidized 56 % of the ammonium with the concomitant increase in nitrite and ultimately nitrate in the trickling filters at the beginning of the treatment system. Thermoprotei within the phylum Crenarchaeota thrived in the splitter box and especially in zero-valent iron extraction trenches, where an additional 25 % of the ammonium was removed. The potential ammonium-oxidizing Archaea (AOA) (Candidatus Nitrosocaldus) were detected towards the downstream end of the treatment system. The design of an integrated treatment system consisting of trickling filters, zero-valent iron reaction cells, settling pond, and anaerobic wetlands was efficient for the biological removal of ammonium and several other contaminants from wastewater generated at a coal burning power plant equipped with selective catalytic reducers for nitrogen oxide removal.

摘要

新型一体化处理系统对火电厂废水中氨氮、亚硝酸盐、硝酸盐和重金属的生物去除效率进行了评估。采用细菌和古菌 16S rRNA 基因克隆文库(Sanger 序列)和 454 焦磷酸测序技术对微生物群落进行了分析。虽然观察到微生物群落组成的季节性变化,但细菌和古菌群落的显著变化(P = 0.001)与铵浓度的变化一致。16S rRNA 基因序列的系统发育分析显示,在铵浓度升高的样品中,潜在的氨氧化菌(AOB)、硝化单胞菌、硝化球菌、浮霉菌和 OD1 的数量增加。其他细菌,如硝化螺旋菌、硝化球菌、硝化杆菌、硫杆菌、ε-变形菌、厚壁菌和酸杆菌,它们在硝化和反硝化过程中发挥作用,也被检测到。AOB 氧化了 56%的铵,同时伴随着硝化滤池中亚硝酸盐的增加,最终硝酸盐的增加。在分流箱和零价铁提取沟中,栖热菌科的古菌数量增加,在处理系统的起始端,又去除了额外的 25%的铵。在处理系统的下游末端检测到潜在的氨氧化古菌(AOA)(Candidatus Nitrosocaldus)。由滴滤池、零价铁反应池、沉淀池和厌氧湿地组成的一体化处理系统的设计,对去除配备选择性催化还原氮氧化物去除装置的燃煤电厂废水中的铵和其他几种污染物是有效的。

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