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Updated: Jul 4, 2026

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Electrochemically and Bioelectrochemically Induced Ammonium Recovery
Published on: January 22, 2015
Ecological engineering of bioaugmentation from side-stream nitrification
R C Smith1, P E Saikaly, K Zhang
1Malcolm Pirnie Inc., 1900 Polaris Parkway, Columbus, OH 43240, USA. rocsmith@pirnie.com
Summary
Bioaugmentation in wastewater treatment is enhanced by understanding microbial ecology. Reactor configuration significantly impacts ammonia-oxidising bacteria (AOB) diversity, crucial for successful treatment processes.
Area of Science:
- Environmental engineering
- Microbial ecology
- Molecular biology
Background:
- Wastewater treatment success depends on integrating environmental engineering and microbial ecology principles.
- Bioaugmentation, introducing external organisms to wastewater reactors, requires understanding microbial survival mechanisms.
Purpose of the Study:
- To investigate the mechanisms of successful bioaugmentation in wastewater treatment.
- To understand how reactor configuration influences the community structure of ammonia-oxidising bacteria (AOB).
Main Methods:
- Utilized molecular biology tools for analysis.
- Employed molecular fingerprinting techniques to assess AOB community structure.
- Conducted phylogenetic analysis for diversity assessment.
Main Results:
- Side-stream reactor configuration significantly influenced AOB community structure.
- AOB communities in side-stream and main-stream reactors were highly similar across lab-scale and full-scale systems.
- Plug Flow Reactor (PFR) side-streams showed greater AOB diversity than Continuous Stirred-Tank Reactor (CSTR) side-streams within a PFR main-stream system; however, a full-scale side-stream resulted in an AOB monoculture.
Conclusions:
- Reactor configuration is a key factor in bioaugmentation success by shaping AOB communities.
- Molecular fingerprinting and phylogenetic analysis provide insights into microbial community dynamics during bioaugmentation.
- Further research may be needed to address potential biases in molecular techniques for diversity assessment.
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