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Real-time PCR quantification of the population dynamics of ammonia-oxidizing bacteria in a pilot-scale wastewater treatment plant

Paper ID Volume ID Publish Year Pages File Format Full-Text
3632 179 2012 5 PDF Available
Title
Real-time PCR quantification of the population dynamics of ammonia-oxidizing bacteria in a pilot-scale wastewater treatment plant
Abstract

To determine whether the stable nitrification was correlated with a stable AOB population size in a pilot-scale wastewater treatment plant (WWTP) and to relate the AOB population to the ammonia removal efficiency, the population dynamics of AOB in a pilot-scale WWTP was monitored over a half-year period using real-time PCR assay. During the study period, the effluent ammonia concentrations were below 2.5 mg/L almost all the time, indicting a stable function of nitrification. The change of AOB population was relatively stable, ranging from 0.7 × 1010 to 7.9 × 1010 cells per liter mixed liquor suspended solids (MLSS) mixture, indicating that the stable function of nitrification was correlated with a stable AOB number in the pilot-scale WWTP. Correlation analysis demonstrates a significantly positive correlation between ammonia removal efficiency and total AOB population number (r = 0.711, P < 0.01). The findings enrich the theory involving the relation between AOB population dynamics and function of nitrification in WWTPs.

► We monitored AOB number in a pilot-scale WWTP. ► Stable function of nitrification was correlated with a stable AOB number. ► Ammonia removal efficiency was positively correlated with AOB number.

Keywords
Waste water treatment; Biodegradation; Bioreactors; DNA; AOB population dynamics; Real-time PCR
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Real-time PCR quantification of the population dynamics of ammonia-oxidizing bacteria in a pilot-scale wastewater treatment plant
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Publisher
Database: Elsevier - ScienceDirect
Journal: Biochemical Engineering Journal - Volume 66, 15 July 2012, Pages 61–65
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us