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Microbial communities in biological denitrification system using methanol as carbon source for treatment of reverse osmosis concentrate from coking wastewater

机译:以甲醇为碳源的生物反硝化系统中微生物群落处理焦化废水中反渗透浓缩液的研究

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A biological denitrifying process using methanol as a carbon source was employed for the treatment of reverse osmosis concentrate (ROC) from coking wastewater in a sequencing batch reactor (SBR). The results showed that the average removal efficiencies of chemical oxygen demand (COD), total organic carbon, total nitrogen and nitrate were 81.4%, 83.7%, 90.6% and 92.9%, respectively. Different microbial communities were identified on the MiSeq platform, showing that the most abundant bacterial phyla were Proteobacteria and Bacteroidetes, the sum of which, in this study, accounted for almost over 92%. The key genera responsible for denitrification were Hyphomicrobium, Thauera and Methyloversatilis. Quantitative real-time polymerase chain reaction was used to quantify the absolute abundances of microbial genera by using 16S rRNAs and denitrifying genes, such as narG, nirS and nirK, during both start-up and stable operations in the SBR. nirS was much more abundant than nirK, thus became the main functional gene to execute nitrite reduction. The high removal efficiency of COD and nitrate suggests that a biological denitrifying process using SBR is an effective technique for treating ROC from coking wastewater.
机译:在顺序分批反应器(SBR)中,使用甲醇作为碳源的生物反硝化工艺用于处理焦化废水中的反渗透浓缩液(ROC)。结果表明,化学需氧量(COD),总有机碳,总氮和硝酸盐的平均去除效率分别为81.4%,83.7%,90.6%和92.9%。在MiSeq平台上鉴定出了不同的微生物群落,表明最丰富的细菌菌群是Proteobacteria和Bacteroidetes,在本研究中,它们的总和几乎占92%以上。负责反硝化作用的关键属是Hyphomicrobium,Thauera和Methyloversatilis。在SBR的启动和稳定运行过程中,实时定量聚合酶链反应用于通过使用16S rRNA和反硝化基因(如narG,nirS和nirK)来定量微生物属的绝对丰度。 nirS比nirK丰富得多,因此成为执行亚硝酸盐还原的主要功能基因。 COD和硝酸盐的高去除效率表明,使用SBR的生物反硝化工艺是处理焦化废水中ROC的有效技术。

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