Microbial community analysis for aerobic granular sludge reactor treating high-level 4-chloroaniline wastewater
Microbial community analysis for aerobic granular sludge reactor treating high-level 4-chloroaniline wastewater
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DOI：
10.1007/s13762-013-0380-3
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发表时间：
2014-10
影响因子：
3.1
通讯作者：
L. Zhu;X. Dai;X. Xu;M. Lv;D. Cao
中科院分区：
文献类型：
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作者：
L. Zhu;X. Dai;X. Xu;M. Lv;D. Cao
采用实验室规模的序批式气升式生物反应器连续处理高浓度4-氯苯胺（4-ClA）废水，研究了4-ClA对好氧颗粒污泥特性及微生物群落的影响。通过缩短污泥沉降时间和逐渐增加进水4-ClA浓度至400 mg L − 1左右，开发了好氧污泥的颗粒化和有效的污染物去除性能。然而，当4-ClA负荷率高于0.8 kg m-3d-1时，颗粒污泥反应器劣化。采用变性梯度凝胶电泳和实时荧光定量PCR技术研究了反应器启动和恢复过程中微生物群落的变化。结果表明，好氧颗粒污泥微生物群落结构对反应器性能有显著影响，稳定好氧颗粒污泥中以β-变形菌门（61.28%）、黄杆菌目、浮游菌目、梭菌目和酸性细菌为主。在稳定的4-ClA降解颗粒污泥中，β-Proteobacteria属的Thauera（21.55%）数量较多，推测其为主要的4-ClA降解菌。在高氯苯胺浓度下，污泥颗粒化可以通过调节微生物群落组成和功能微生物丰度来维持反应器的稳定性。为更好地了解高浓度有毒有机污染物下微生物群落特征的变化和工艺优化提供了有益的信息。
A laboratory-scale sequencing airlift bioreactor continuously treating high-level 4-chloroaniline (4-ClA) wastewater was used for studying the effect of 4-ClA on the characteristics and microbial community of aerobic granular sludge. The granulation of aerobic sludge and efficient pollutant removal performance were developed via shortening sludge settling time and gradually increasing influent 4-ClA concentration to around 400 mg L−1. However, the granular sludge reactor deteriorated with the 4-ClA loading rate above 0.8 kg m−3d−1. Denaturing gradient gel electrophoresis and real-time quantitative PCR were applied to investigate the microbial community succession during the start-up and recovery of bioreactor. The results showed that the performance of granular reactor was significantly influenced by the microbial community of aerobic granule, and stable aerobic granule was dominated withβ-Proteobacteria(61.28 %),Flavobacteriales,Planctomycetales,Clostridiales,andAcidobacteria. SinceThauera(21.55 %) related to the genusβ-Proteobacteriawas abundant in the stable 4-ClA-degrading granular sludge, it was speculated as the main 4-ClA-degrading bacteria. Under high chloroaniline level, the sludge granulation may maintain the stability of the bioreactor via adjusting the composition of microbial community and abundance of functional microorganism. This paper provided useful information for better understanding the change of microbial community characteristics under high-level toxic organic pollutants and process optimizing.