UM  > Faculty of Science and Technology
Residential Collegefalse
Status已發表Published
Mechanism insights into the nitrogen removal of bio-augmented AAO: Specifically focusing on the nitrogen metabolic pathways and microbial taxa-functional genes associations
Fang Liu1,3; Guangsheng Qian,2; Xin Zhao3; Xiaomin Hu3
2022-12-01
Source PublicationJournal of Water Process Engineering
ISSN2214-7144
Volume50Pages:103245
Abstract

Rapid loss of inoculant microorganisms and the slow-growth of autotrophic bacteria pose significant challenges to bio-augmentation technology. Given the low-cost of coal ash and its greater compatibility with nitrifiers, it was utilized as a carrier to maintain bio-augmentation performance and enhance the AAO's nitrogen removal. Results showed the bio-augmented system operated stably, and immobilized coal ash improved the efficiencies of NH-N from 67.6 ± 10.8 % to 94.3 ± 3.0 % and TIN from 63.2 ± 9.2 % to 84.3 ± 4.3 %. An in-depth analysis indicated bio-augmentation altered the microbial community structures and increased the relative abundance of bacterial associated with nitrogen removal, significantly increasing the abundance of Nitrosomonas and Nirospira. In addition, bio-augmentation enhanced the activity of nitrogen removal enzymes, especially amoABC, hao, narGH, nirK, and nosZ transporter genes, according to predicted function profiles. Network analysis between microorganisms and N-metabolic functional genes revealed bio-augmentation improved the complexity of network-structure and the sources of N-metabolic functional genes, thereby enhancing functional stability. Return sludge flow was the most significant factor in regulating the microbial community composition associated with N removal in the bio-augmented AAO system, followed by DO and internal recycle ratio. The aforementioned results obtained from the present study will enable the application of immobilized coal ash in wastewater treatment plants to improve N removal efficiency.

KeywordNitrogen Removal Aao System Bio-augmentation Microbial Community Structures N-metabolic Functional Genes
DOI10.1016/j.jwpe.2022.103245
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaEngineering ; Water Resources
WOS SubjectEngineering, Environmental ; Engineering, Chemical ; Water Resources
WOS IDWOS:000904214100004
PublisherELSEVIER, RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS
Scopus ID2-s2.0-85140056135
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionFaculty of Science and Technology
DEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING
Corresponding AuthorGuangsheng Qian,; Xiaomin Hu
Affiliation1.Department of Environmental Engineering, School of Resources & Environmental Engineering, Jiangsu University of Technology, Changzhou, 213001, China
2.Department of Civil and Environmental Engineering, Faculty of Science and Technology, University of Macau, Macau, 999078, China
3.Department of Environment Engineering, School of Resource and Civil Engineering, Northeastern University, Shenyang, 110819, China
Corresponding Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Fang Liu,Guangsheng Qian,,Xin Zhao,et al. Mechanism insights into the nitrogen removal of bio-augmented AAO: Specifically focusing on the nitrogen metabolic pathways and microbial taxa-functional genes associations[J]. Journal of Water Process Engineering, 2022, 50, 103245.
APA Fang Liu., Guangsheng Qian,., Xin Zhao., & Xiaomin Hu (2022). Mechanism insights into the nitrogen removal of bio-augmented AAO: Specifically focusing on the nitrogen metabolic pathways and microbial taxa-functional genes associations. Journal of Water Process Engineering, 50, 103245.
MLA Fang Liu,et al."Mechanism insights into the nitrogen removal of bio-augmented AAO: Specifically focusing on the nitrogen metabolic pathways and microbial taxa-functional genes associations".Journal of Water Process Engineering 50(2022):103245.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Fang Liu]'s Articles
[Guangsheng Qian,]'s Articles
[Xin Zhao]'s Articles
Baidu academic
Similar articles in Baidu academic
[Fang Liu]'s Articles
[Guangsheng Qian,]'s Articles
[Xin Zhao]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Fang Liu]'s Articles
[Guangsheng Qian,]'s Articles
[Xin Zhao]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.