The dynamic shift of bacterial communities in hybrid anaerobic baffled reactor (ABR)—aerobic granules process for berberine pharmaceutical wastewater treatment
The dynamic shift of bacterial communities in hybrid anaerobic baffled reactor (ABR)—aerobic granules process for berberine pharmaceutical wastewater treatment
Because of its anticancer, anti-inflammatory, and antibiotic properties, berberine has been used extensively in medication. The extensive production of berberine results in the generation of wastewater containing concentrated residual berberine. However, to date, limited related studies on the biological treatment of berberine wastewaters have been carried out. A lab-scale anaerobic baffled reactor (ABR)–aerobic granular sludge (AGS) process was developed for berberine removal from synthetic wastewater. The system showed effective removal of the berberine. In order to better understand the roles of the bacterial community, the ABR–aerobic granular sludge system was operated in the state with the highest BBR removal rate in this study. The bacterial community dynamics were studied using the 16S rDNA clone library. The results showed that the hybrid ABR-AGS process achieved 92.2% and 94.8% overall removals of berberine and COD, respectively. Bacterium was dominant species in ABR, while the CFB group bacteria and Betaproteobacteria were dominant species in AGS process. The uncultured bacterium clone B135, Bacillus endophyticus strain a125, uncultured bacterium mle1-42, uncultured bacterium clone OP10D15, and uncultured bacterium clone B21.29F54 in ABR, and uncultured bacterium clone F54, uncultured bacterium clone ZBAF1-105, uncultured bacterium clone SS-9, and uncultured bacterium clone B13 in AGS process were identified as functional species in the biodegradation of berberine and/or its metabolites. Both anaerobic and aerobic bacterial communities could adapt appropriately to different berberine selection pressures because the functional species’ identical functions ensured comparable pollutant removal performances. The information provided in this study may help with future research in gaining a better understanding of berberine biodegradation.
16S rDNA clone library, aerobic granular reactor, anaerobic baffled reactor (ABR), bacterial community structure, berberine wastewater
Wang, Yan
17c310b8-66bf-49a8-8e42-e13d6b134ed8
Liu, Yong-Qiang
75adc6f8-aa83-484e-9e87-6c8442e344fa
Li, Juan
e3fd4ced-85ac-440e-b126-40974d12e2aa
Ma, Ruirui
e68bb1e9-f065-4ef6-86f5-fc0880c5943b
Zeng, Ping
5434c435-d2d0-43fb-ac86-593f882f8e1c
Ng, Choon Aun
ba29888c-70ac-435a-8dca-1ce48d5754ce
Liu, Fenghua
3e76b19d-cdbe-4795-b49d-3e2027691c1c
December 2022
Wang, Yan
17c310b8-66bf-49a8-8e42-e13d6b134ed8
Liu, Yong-Qiang
75adc6f8-aa83-484e-9e87-6c8442e344fa
Li, Juan
e3fd4ced-85ac-440e-b126-40974d12e2aa
Ma, Ruirui
e68bb1e9-f065-4ef6-86f5-fc0880c5943b
Zeng, Ping
5434c435-d2d0-43fb-ac86-593f882f8e1c
Ng, Choon Aun
ba29888c-70ac-435a-8dca-1ce48d5754ce
Liu, Fenghua
3e76b19d-cdbe-4795-b49d-3e2027691c1c
Wang, Yan, Liu, Yong-Qiang, Li, Juan, Ma, Ruirui, Zeng, Ping, Ng, Choon Aun and Liu, Fenghua
(2022)
The dynamic shift of bacterial communities in hybrid anaerobic baffled reactor (ABR)—aerobic granules process for berberine pharmaceutical wastewater treatment.
Processes, 10 (12), [2506].
(doi:10.3390/pr10122506).
Abstract
Because of its anticancer, anti-inflammatory, and antibiotic properties, berberine has been used extensively in medication. The extensive production of berberine results in the generation of wastewater containing concentrated residual berberine. However, to date, limited related studies on the biological treatment of berberine wastewaters have been carried out. A lab-scale anaerobic baffled reactor (ABR)–aerobic granular sludge (AGS) process was developed for berberine removal from synthetic wastewater. The system showed effective removal of the berberine. In order to better understand the roles of the bacterial community, the ABR–aerobic granular sludge system was operated in the state with the highest BBR removal rate in this study. The bacterial community dynamics were studied using the 16S rDNA clone library. The results showed that the hybrid ABR-AGS process achieved 92.2% and 94.8% overall removals of berberine and COD, respectively. Bacterium was dominant species in ABR, while the CFB group bacteria and Betaproteobacteria were dominant species in AGS process. The uncultured bacterium clone B135, Bacillus endophyticus strain a125, uncultured bacterium mle1-42, uncultured bacterium clone OP10D15, and uncultured bacterium clone B21.29F54 in ABR, and uncultured bacterium clone F54, uncultured bacterium clone ZBAF1-105, uncultured bacterium clone SS-9, and uncultured bacterium clone B13 in AGS process were identified as functional species in the biodegradation of berberine and/or its metabolites. Both anaerobic and aerobic bacterial communities could adapt appropriately to different berberine selection pressures because the functional species’ identical functions ensured comparable pollutant removal performances. The information provided in this study may help with future research in gaining a better understanding of berberine biodegradation.
Text
processes-10-02506
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More information
Accepted/In Press date: 16 November 2022
Published date: December 2022
Additional Information:
Funding Information:
This research was funded by the National Key Research and Development Program of China (No. 2022YFC3203300), the Chinese Research Academy of Environmental Sciences Central Public Welfare Scientific Research Project (2022YSKY-63), and the National Major Scientific and Technological Projects for Water Pollution Control and Management (2017ZX07402003).
Publisher Copyright:
© 2022 by the authors.
Keywords:
16S rDNA clone library, aerobic granular reactor, anaerobic baffled reactor (ABR), bacterial community structure, berberine wastewater
Identifiers
Local EPrints ID: 478682
URI: http://eprints.soton.ac.uk/id/eprint/478682
ISSN: 2227-9717
PURE UUID: a05ec20a-98bf-45f0-8d67-e458b21805b0
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Date deposited: 07 Jul 2023 16:32
Last modified: 17 Mar 2024 03:32
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Contributors
Author:
Yan Wang
Author:
Juan Li
Author:
Ruirui Ma
Author:
Ping Zeng
Author:
Choon Aun Ng
Author:
Fenghua Liu
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