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Supervised by Ministry of Industry and Information Technology of The People's Republic of China Sponsored by Harbin Institute of Technology Editor-in-chief Yu Zhou ISSNISSN 1005-9113 CNCN 23-1378/T

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Related citation:ZHAO Li-jun,MA Fang,GUO Jing-bo,LIU Shuo.Microbial community study in a petrochemical industry wastewater treatment system by PCR-DGGE[J].Journal of Harbin Institute Of Technology(New Series),2009,16(6):830-836.DOI:10.11916/j.issn.1005-9113.2009.06.017.
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Microbial community study in a petrochemical industry wastewater treatment system by PCR-DGGE
Author NameAffiliation
ZHAO Li-jun Faculty of Chemical Science and Engineering, China University of Petroleum, Beijing 102249, China
School of Municipal and Environmental Engineering,Harbin Institute of Technology,Harbin 150090,China 
MA Fang School of Municipal and Environmental Engineering,Harbin Institute of Technology,Harbin 150090,China 
GUO Jing-bo School of Municipal and Environmental Engineering,Harbin Institute of Technology,Harbin 150090,China 
LIU Shuo School of Municipal and Environmental Engineering,Harbin Institute of Technology,Harbin 150090,China 
Abstract:
To improve the efficiency of petrochemical wastewater purification, the relationship between bacterial community structure and pollutants loading/degrading rates in A/O process for petrochemical wastewater treatment was investigated by denaturing gradient gel electrophoresis (DGGE) of the 16S rRNA gene fragments amplified by polymerase chain reaction (PCR). Results show that while the influent COD and NH4+-N concentrations are 425.92-560 mg/L and 64-100 mg/L respectively, the corresponding average concentrations of the effluent are 160 mg/L and 55 mg/L, which are 1.6 and 3.6 times more than the national standards respectively. It demonstrates that the performance of pollutants removal process is inefficient. The analysis of PCR-DGGE profile indicates that the bacterial community structure of the activated sludge in A/O system is species-rich but unstable, and the highest and the lowest similarity coefficients are 36% and 6.25% respectively, which shows that remarkable community structure evolution exists in the system. The variation of bacterial community structure and pollutants loading influences the removal efficiency of pollutants obviously, and relatively stable community structure leads to the stable operational performance of biological wastewater treatment system.
Key words:  petrochemical wastewater  A/O process  bacterial community structure  PCR-DGGE
DOI:10.11916/j.issn.1005-9113.2009.06.017
Clc Number:X703
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