Please use this identifier to cite or link to this item: http://hdl.handle.net/10321/874
Title: Detection and quantification of nitrifying bacteria from South African biological nutrient removal plants
Authors: Ramdhani, Nishani
Issue Date: 30-Jul-2013
Abstract: Nitrification is a crucial step in biological nutrient removal (BNR) processes, mostly carried
out by a group of nitrifying bacteria which includes ammonia-oxidising bacteria (AOB) and
nitrite-oxidising bacteria (NOB). Nitrification failure has proven to be a common operational
problem in full-scale wastewater treatment plants (WWTP) since nitrifying bacteria are very
sensitive to sudden changes in environmental or plant operating conditions. The current
investigation was carried out to advance our understanding of the distribution of nitrifying
bacterial populations and their performance at three different BNR plants in KwaZulu-Natal,
South Africa. The latest molecular techniques such as fluorescent in situ hybridisation
(FISH)-confocal scanning laser microscopy (CSLM), polymerase chain reaction (PCR) and
real-time quantitative PCR (Q-PCR) were applied to detect and quantify nitrifying bacteria.
When using FISH to target the nitrifying population, it necessitated optimising pre-treatment
protocols of the samples to improve accuracy during quantification. Sonication was found to
be the superior method of dispersion based on the least disruption of nitrifier cell integrity,
irrespective of the sludge type.
The effect of plant configurations and wastewater
characteristics on the distribution of the nitrifying bacterial population and subsequently on
the nitrification performance was evaluated using FISH and PCR. FISH results revealed the
dominance of Nitrosomonas (AOB), Nitrobacter (NOB) and Nitrospira (NOB) for all BNR
plants. The 16S rRNA analysis of PCR products using genus-specific primers, revealed the
presence of more than one species of the same group at these plants. Nitrosomonas spp.
including Nitrosomonas halophila, Nitrosomonas eutropha, Nitrosomonas europaea,
Nitrosomonas aestuarii and an unidentified Nitrosomonas spp. were found to dominate
among the AOB and Nitrobacter vulgaris, Nitrobacter alkalicus, Nitrobacter hamburgensis
and an unidentified Nitrobacter spp. were the dominant species for NOB. Among these
species, Nitrosomonas aestuarii, Nitrosomonas europaea, Nitrobacter hamburgensis were
detected only from the industrial wastewater samples. The efficiency of two commonly used
techniques viz., FISH and Q-PCR for the detection of nitrifiers from WWTP were also
studied and compared, specifically targeting Nitrobacter sp. Even though there were slight
variations in the quantification results, changes in the Nitrobacter community at these plants
were consistent for both FISH and Q-PCR results. Both techniques have their own limitations
and advantages. This study has helped to add to the platform of understanding the distribution
and activity of nitrifying bacteria by correlating population dynamics with the operational
parameters at full-scale level. The observations made in this study will assist researchers and
engineers to minimise future nitrification failure at full-scale BNR plants. This study also
confirmed the highly complex activities of wastewater treatment processes, which is
dependant on a number of factors. Specific AOB or NOB predominant in wastewater rather
suggests that the wastewater type and characteristics may contribute to significantly different
microbial environments. Among the AOB, Nitrosomonas dominated at all BNR plants
throughout the study period and for NOB both Nitrobacter and Nitrospira were found in
significant numbers but their dominance varied across the plants. These dissimilar, distinct
distribution patterns could be attributed to their environment which in turn impacted on the
nitrification performance of the system. It was also noted that the co-existence of more than
one group of these communities at the same plant could help the plant escape complete
functional failures such as nitrification, due to sudden changes in temperature and substrate
concentrations, as this function can be performed by different groups. Although it would have
been meritorious to conduct a nitrogen balance in this study, this was not possible since the
research focused on full-scale systems.
Description: Submitted in fulfillment for the requirements for the Degree of Doctor of Technology: Biotechnology, Durban University of Technology, 2012.
URI: http://hdl.handle.net/10321/874
Appears in Collections:Theses and dissertations (Applied Sciences)

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