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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:生物反硝化系统中的微生物群落使用甲醇作为碳源,用于治疗焦化废水的反渗透浓缩物

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摘要

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:使用甲醇作为碳源的生物反硝化过程所采用用于从在间歇式反应器(SBR)焦化废水反渗透浓缩物(ROC)的治疗。结果表明,化学需氧量(COD),总有机碳,总氮和硝酸盐的平均除去效率分别为81.4%,83.7%,90.6%和92.9%。在MISEQ平台上鉴定出不同的微生物群落,表明最丰富的细菌植物是植物和菌株,在本研究中的总和占近92%。负责反硝化的关键属是亚磷酸,Thauera和甲基缺粮。通过使用16S rRNA和鼻内的反硝化基因在SBR的启动和稳定操作期间,通过使用16S rRNA和鼻内的反硝化基因来定量定量实时聚合酶链反应来量化微生物属的绝对丰度。 NIRS比疯子更丰富,因此成为执行亚硝酸盐的主要功能基因。 COD和硝酸盐的高除去效率表明,使用SBR的生物反硝化过程是一种从焦化废水处理ROC的有效技术。

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