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Biodegradation. 2013 Apr;24(2):227-43. doi: 10.1007/s10532-012-9579-0. Epub 2012 Jul 29.

Microbial community and treatment ability investigation in AOAO process for the optoelectronic wastewater treatment using PCR-DGGE biotechnology.

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1
Department of Safety Health and Environmental Engineering, Ming Chi University of Technology, 84, Guang-Juan Rd, Taishan Dist, 24301, New Taipei City, Taiwan.

Abstract

This study aimed to explore the microbial community variation and treatment ability of a full-scale anoxic-aerobic-anoxic-aerobic (AOAO) process used for optoelectronic wastewater treatment. The sludge samples in the biological treatment units were collected and subsequently subjected to polymerase chain reaction (PCR) amplification and denaturing gradient gel electrophoresis identification and the wastewater components such as BOD5 and NH3-N were evaluated during the processes. The group specific primers selected were targeting at the kingdom Bacteria, the Acidobacterium, the α-proteobacteria, the β-proteobacteria ammonia oxidizers, Actinobacteria and methyllotrophs, and the 16S rDNA clone libraries were established. Ten different clones were obtained using the Bacteria primers and eight different clones were obtained using the β-proteobacteria ammonia oxidizer primers. Over 95 % of BOD5 and 90 % of NH3-N were removed from the system. The microbial community analysis showed that the Janthinobacterium sp. An8 and Nitrosospira sp. were the dominant species throughout the AOAO process. Across the whole clone library, six clones showed closely related to Janthinobacterium sp. and these species seemed to be the dominant species with more than 50 % occupancy of the total population. Nitrosospira sp. was the predominant species within the β-proteobacteria and occupied more than 30 % of the total population in the system. These two strains were the novel species specific to the AOAO process for optoelectronic treatment, and they were found strongly related to the system capability of removing aquatic contaminants by inspecting the wastewater concentration variation across the system.

PMID:
22842856
DOI:
10.1007/s10532-012-9579-0
[Indexed for MEDLINE]
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