The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
Bacterial communities in full-scale wastewater treatment systems
Open accessAbstract
Bacterial metabolism determines the effectiveness of biological treatment of wastewater. Therefore, it is important to define the relations between the species structure and the performance of full-scale installations. Although there is much laboratory data on microbial consortia, our understanding of dependencies between the microbial structure and operational parameters of full-scale wastewater treatment plants (WWTP) is limited. This mini-review presents the types of microbial consortia in WWTP. Information is given on extracellular polymeric substances production as factor that is key for formation of spatial structures of microorganisms. Additionally, we discuss data on microbial groups including nitrifiers, denitrifiers, Anammox bacteria, and phosphate- and glycogen-accumulating bacteria in full-scale aerobic systems that was obtained with the use of molecular techniques, including high-throughput sequencing, to shed light on dependencies between the microbial ecology of biomass and the overall efficiency and functional stability of wastewater treatment systems. Sludge bulking in WWTPs is addressed, as well as the microbial composition of consortia involved in antibiotic and micropollutant removal.
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Proceedings of the 8th Workshop on Programming Languages and Operating Systems
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Full scale performance of the aerobic granular sludge process for sewage treatment
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Bacterial community composition and function in sewage treatment systems
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Combined niche and neutral effects in a microbial wastewater treatment community
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Metadata
- Authors
- Cydzik-Kwiatkowska, A., & Zielińska, M.
- Venue
- World Journal of Microbiology and Biotechnology
- Published
- 2016-03-01
- Volume
- 32
- Issue
- 4
- Pages
- 66-66
- ISSN
- 0959-3993 (ISSN-L)
- 1573-0972
- OpenAlex
- W2292666855
- Cited by
- 426
- References
- 51
- FWCI
- 19.83
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
