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Cited 25 time in webofscience Cited 31 time in scopus
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Performance and Microbial Community Dynamics in Anaerobic Digestion of Waste Activated Sludge: Impact of Immigrationopen access

Authors
Shin, JuheeCho, Si-KyungLee, JoonyeobHwang, KwanghyunChung, Jae WooJang, Hae-NamShin, Seung Gu
Issue Date
1-Feb-2019
Publisher
MDPI
Keywords
sewage sludge; hydraulic retention time; high-throughput sequencing; real-time PCR; net growth rate
Citation
ENERGIES, v.12, no.3
Indexed
SCIE
SCOPUS
Journal Title
ENERGIES
Volume
12
Number
3
URI
https://scholarworks.gnu.ac.kr/handle/sw.gnu/9440
DOI
10.3390/en12030573
ISSN
1996-1073
Abstract
Waste activated sludge (WAS) is a byproduct of municipal wastewater treatment. WAS contains a large proportion of inactive microbes, so when it is used as a substrate for anaerobic digestion (AD), their presence can interfere with monitoring of active microbial populations. To investigate how influent cells affect the active and inactive microbial communities during digestion of WAS, we operated model mesophilic bioreactors with conventional conditions. Under six different hydraulic retention times (HRTs; 25, 23, 20, 17, 14, and 11.5 d), the chemical oxygen demand (COD) removal and CH4 production of the AD were within a typical range for mesophilic sludge digesters. In the main bacteria were proteobacteria, bacteroidetes, and firmicutes in both the WAS and the bioreactors, while in main archaeal methanogen group was Methanosarcinales in the WAS and methanomicrobiales in the bioreactors. Of the 106 genera identified, the estimated net growth rates were negative in 72 and positive in 34. The genera with negative growth included many aerobic taxa. The genera with positive growth rates included methanogens and syntrophs. In some taxa, the net growth rate could be positive or negative, depending on HRT, so their abundance was also affected by HRT. This study gives insights into the microbial dynamics of a conventional sludge anaerobic digester by distinguishing potentially active (growing) and inactive (non-growing, dormant) microbes and by correlating population dynamics with process parameters.
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건설환경공과대학 (환경공학과)
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