Effect of Oxygen Content on NO Removal and Microbial Communities of a Hybrid Catalytic Membrane Biofilm Reactor
Effect of Oxygen Content on NO Removal and Microbial Communities of a Hybrid Catalytic Membrane Biofilm Reactor
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氧含量对混合催化膜生物膜反应器 NO 去除和微生物群落的影响
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
X. Zhang
中科院分区：
文献类型：
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作者：
Z.S. Wei;J.L. Pei;Z.S. Huang;X.L. Xiao;M.R. Tang;B.L Li;X. Zhang
研究了氧含量对复合催化膜生物膜反应器（HCMBR）脱氮效果及微生物群落的影响。在烟气含氧量为2%、6%、10%和17%时，H2、H6、H10和H17的NO去除率分别达到84.8%、85.1%、94%和94.5%。NO去除率随着氧含量的增加而增加。
H2、H6以反硝化为主，H10、H17以同步硝化反硝化为主。16 SrDNA和宏基因组测序结果表明，氧含量对HCMBR中微生物群落结构有影响。优势菌门为河生菌、弓形杆菌、短单胞菌H2、H6、H10，H17为短单胞菌、假单胞菌、vadinCA 02。H2、H6、H10和H17分别为河流生菌、Acrobacter、Brachymonas和Brachymonas。初级坐标分析（PcoA）表明H10和H17中的基因结构高度相似，但与H2和H6中的基因结构不同。典型相关分析（CCA）划分了细菌属的可视化氧含量依赖性差异。
The effect of oxygen content on NO removal and microbial communities of a hybrid catalytic membrane biofilm reactor (HCMBR) has been investigated. NO removal efficiency reached 84.8%, 85.1%, 94% and 94.5% at oxygen content of 2%, 6%, 10% and 17% in flue gas (H2, H6, H10 and H17), respectively. NO removal increased with increasing oxygen content.
Denitrification was dominant in H2, H6; simultaneous nitrification and denitrification occurred in H10, H17. Oxygen content influenced the microbial community in HCMBR as shown by 16S rDNA, metagenomics sequencing method. The dominant phylum was Fluviicola, Arcobacter, Brachymonasin H2, H6, H10, while Brachymonas, denitrificans, vadinCA02 in H17. Fluviicola, Acrobacter, Brachymonas and Brachymonas were dominant denitrifiers in H2, H6, H10 and H17, respectively. Primary coordinate analysis (PcoA) indicated phylogenic structures in H10 and H17 were highly alike but dissimilar to those in H2 and H6. Canonical correlation analysis (CCA) classified visualized oxygen content dependence distinction of bacterial genera.
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影响因子：
6.9
作者：
Xinyu Zhang;Ruofei Jin;Guangfei Liu;Xiyang Dong;Ji-ti Zhou;Aijie Wang
通讯作者：
Xinyu Zhang;Ruofei Jin;Guangfei Liu;Xiyang Dong;Ji-ti Zhou;Aijie Wang
影响因子：
15.1
作者：
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通讯作者：
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影响因子：
11.4
作者：
Nikolaos Xafenias;C. Kmezik;Valeria Mapelli
通讯作者：
Nikolaos Xafenias;C. Kmezik;Valeria Mapelli
影响因子：
5
作者：
Florentina Sáez;C. Pozo;Miguel A. Gómez;M. V. Martínez-Toledo;B. Rodelas;J. González-López
通讯作者：
Florentina Sáez;C. Pozo;Miguel A. Gómez;M. V. Martínez-Toledo;B. Rodelas;J. González-López
影响因子：
2.8
作者：
Qiu, Yan-Ling;Kuang, Xiao-Zhu;Guo, Rong-Bo
通讯作者：
Guo, Rong-Bo