PubMed Health⌕ Search

PubMed · 12697224

Bio-augmentation by nitrification with return sludge.

Abstract

Bio-augmentation can be used to obtain nitrification in activated sludge processes that operate at sub-optimal solid retention times. In this study, we evaluated the potential of augmenting the endogenous nitrifying bacteria, by implementing a nitrification reactor in the sludge return line. This reactor can be fed with an internal N-rich flow (e.g. effluent from the sludge treatment) or with an external ammonium source. A mathematical model based on ASM1 was developed and used to evaluate the potential of this technique. The bio-augmentation studied here aimed to enhance the nitrification process of highly loaded activated sludge systems. A calibrated simulation model of a high loaded wastewater treatment plant in The Netherlands was used for this study. A side stream process (the named BABE process) was included in the simulation. This process was fed with the ammonia-rich water generated by sludge digestion and subsequent thickening by centrifugation (the so-called rejectwater). An external source (artificial) of ammonium was also considered to evaluate the differences between the two origins of ammonium. The results showed that with the augmentation process, high loaded activated sludge systems can achieve nitrification even at low winter temperatures. The best effect is obtained for systems operating at approximately 50% of the minimal SRT without augmentation. The use of an internal ammonia source is more effective than an external source. The results of this study give a quantitative basis for the design of process internal bio-augmentation processes and the effect on the N-removal capacity of the treatment plant.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

S Salem, D H J G Berends, J J Heijnen, M C M Van Loosdrecht. 2003. Bio-augmentation by nitrification with return sludge.. https://doi.org/10.1016/s0043-1354(02)00550-x

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Unraveling the ecological success of Iodidimonas in a bioreactor treating oil and gas produced water.

UNLABELLED: Iodidimonas sp., a bacterium found in bioreactors treating oil and gas produced water as well as iodide-rich brines, has garnered attention for its unique ability to oxidize iodine. However, little is known about the metabolic capabilities that enable Iodidimonas sp. to thrive in certain unique ecological niches. In this study, we isolated, characterized, and sequenced three strains belonging to the Iodidimonas genus from the sludge of a membrane bioreactor used for produced water treatment. We investigated the genomic features of these isolates and compared them with the four publicly available isolate genomes from this genus, as well as a metagenome-assembled genome from the source bioreactor. Our Iodidimonas isolates had several genes associated with mitigating salinity, heavy metal, and organic compound stress, which likely help these bacteria to survive in produced water. Phenotyping tests revealed that while the isolates could utilize a wide variety of simple carbon substrates, they failed to degrade aliphatic or aromatic hydrocarbons, consistent with the lack of genes associated with common hydrocarbon degradation pathways in their genomes. We hypothesize that these microbes may lead a scavenging lifestyle in the bioreactor and similar iodide-rich brines. IMPORTANCE: Occupying a niche habitat and having few representative isolates, the genus Iodidimonas is a relatively understudied alphaproteobacterial group. Its ability to corrode pipes in iodine production facilities has economic implications, and its ability to generate potentially carcinogenic iodinated organic compounds during treatment of oil and gas produced water may cause environmental and health concerns with the recycling of treated water. Therefore, detailed characterization of the metabolic potential of the Iodidimonas isolates in this study both sheds light on their adaptation to the environmental conditions they inhabit and has environmental and economic significance.

Bioreactors↗

Effect of oxidative stress on the production of recombinant human interferon-gamma in Escherichia coli.

To reduce the degradation pathway of rhIFN-gamma (recombinant human interferon-gamma), the susceptibility against oxidative stress during fermentation in Escherichia coli cells and in purification process were investigated. Fermentations of recombinant E. coli were performed at 5, 30 and 60% DO (dissolved oxygen) concentrations. The expressed rhIFN-gamma is purified in three-step chromatography processes with 99.9% purity under reducing and non-reducing conditions. Recombinant IFN-gamma production, carbonyl and dimeric contents and antiviral-specific activity of purified protein were monitored. The increase in carbonyl content was taken to be an indicator of protein oxidation. DO concentration did not show any noticeable effect on rhIFN-gamma production. During fermentation, the carbonyl-group content showed no significant increase at 5 and 30% DO but a 10-fold increase at 60% DO concentration was observed. The antiviral-specific activity of purified rhIFN-gamma was decreased 35 and 69% at 30 and 60% DO concentrations respectively. After the purification process, under non-reducing conditions, the activity of purified protein decreased to 30% of its original value. The degree of dimeric forms of protein was found to depend on the O2 concentration during fermentation and purification.

Bioreactors↗

Computational-fluid-dynamics (CFD) analysis of mixing and gas-liquid mass transfer in shake flasks.

CFD (computational fluid dynamics) techniques were used to predict mixing and gas-liquid mass transfer in a 250 ml shake flask operating over a range of shaking frequencies between 100 and 300 rev./min, shaking diameters between 20 and 60 mm, and fill volumes between 25 and 100 ml. Interfacial area, a, volumetric mass-transfer coeffcient, kLa, and the power input per unit volume, epsilonv, of the liquid were predicted to be 300<a<800 m2 . m(-3), 10<kLa<100 h(-1) and 40<epsilonv<600 W . m(-3) respectively. These values are significantly different from the reported range for laboratory and pilot-scale bioreactors used in the fermentation of bacterial and fungal micro-organisms (100<a<300 m2 . m(-3), 100<kLa<400 h(-1) and 1000<epsilonv<3000 W . m(-3)). Our analysis showed that, at the highest shaking frequency and amplitude of operation, the specific power input in the shake flask was much lower than in laboratory bioreactors. Bacterial and fungal micro-organisms require dissolved oxygen concentrations typically in the range 50-250 mmol of O2 . h(-1) . litre(-1), corresponding to volumetric mass-transfer coefficients, kLa, in the range of 250-400 h(-1). Poor mixing and dissolved-oxygen limitation in shake flasks may limit their use in process design and media optimization in fermentation. In contrast, mammalian cells have relatively low demand for oxygen and consequently require a lower specific power input, this being typically between 1 and 10 W . m(-3), allowing efficient operation in shake flasks. Experimental data presented as part of the present study showed that mammalian cell growth in shake flasks was essentially independent of the specific power input, the maximum specific cell growth rate being 0.056 h(-1). The corresponding maximum oxygen-uptake rate was 0.74 mmol of O2 . h(-1) . litre(-1) for a viable cell count of 1.3 x 10(6) cells . ml(-1). These values are comparable with reported values for laboratory and pilotscale bioreactors. This analysis suggests that growth of mammalian cells in shake flasks (and hence in laboratory bioreactors) is not limited by the gas-liquid mass-transfer rate. In mammalian cell cultures, the requirement for good mixing is driven by other considerations, including the need for good cell suspension and reduction in heterogeneity, for example, in pH, temperature, nutrient concentration, osmolality and lactate/glucose ratio.

Bioreactors↗