Effect of sludge age on population dynamics and acetate utilization kinetics under aerobic conditions

Pala‐Özkök, İlke; Rehman, Ateequr; Kor-Bicakci, Gokce; Ural, Aslihan; Schilhabel, Markus B.; Ubay‐Cokgor, Emine; Jonas, Daniel E; Orhon, Derin

doi:10.1016/j.biortech.2013.05.095

Cited by 29 publications

(21 citation statements)

References 26 publications

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“…A specific 10 base long identifier (barcode) was included in the reverse primer 338R to bin sequences as per the sample. Additionally, sequencing adaptors were attached to both the primers [22].…”

Section: -Pyrosequencing Of 16s Rrna Gene For Bacterial Community mentioning

confidence: 99%

“…V1-V2 hyper-variable region of the extracted DNA was amplified by the broad-range bacterial-specific 16S rRNA gene-specific primer pair (27F and 338R) [22]. A specific 10 base long identifier (barcode) was included in the reverse primer 338R to bin sequences as per the sample.…”

Section: -Pyrosequencing Of 16s Rrna Gene For Bacterial Community mentioning

confidence: 99%

“…This technology was also applied to activated sludge, mostly without any effort to relate the results to observed process kinetics [14,[18][19][20][21]. Only in a recent study, observation of a variable kinetics as a function of culture history was related to induced changes in the microbial community, assessed by means of 454-pyrosequencing [22]. It should be noted that culture history generally refers to all conditions dictating the growth characteristics of the microbial community and in microbial systems sustained for wastewater treatment these conditions may be simplified into and expressed as the sludge age.…”

Section: Introductionmentioning

confidence: 99%

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Pyrosequencing reveals the inhibitory impact of chronic exposure to erythromycin on activated sludge bacterial community structure

Pala‐Özkök

Rehman

Ubay‐Cokgor

et al. 2014

Biochemical Engineering Journal

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Section: -Pyrosequencing Of 16s Rrna Gene For Bacterial Community mentioning

confidence: 99%

Section: -Pyrosequencing Of 16s Rrna Gene For Bacterial Community mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Pyrosequencing reveals the inhibitory impact of chronic exposure to erythromycin on activated sludge bacterial community structure

Pala‐Özkök

Rehman

Ubay‐Cokgor

et al. 2014

Biochemical Engineering Journal

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“…In this earlier study, the development of different bacterial populations at different SRTs was shown; however, the richness of bacterial species was not necessarily influenced by applying different SRTs, and all communities achieved evenly good COD removal. Other studies investigated the bacterial community dynamics in acetate utilizing sequencing batch reactors at SRTs of 2 and 10 days and found significant differences between the two reactors (Pala-Ozkok et al 2013). At lower SRTs of 2 days, a bacterial community developed with faster growth rates, compared to SRT of 10 days under the same acetate feeding conditions.…”

Section: Microbial Communities At Different Srtsmentioning

confidence: 94%

Characterization of the bacterial community involved in the bioflocculation process of wastewater organic matter in high-loaded MBRs

Faust

Szendy

Plugge

et al. 2015

Appl Microbiol Biotechnol

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High-loaded membrane bioreactors (HL-MBRs), i.e., bioreactors equipped with a membrane for biomass retention and operated at extremely short sludge and hydraulic retention times, can concentrate sewage organic matter to facilitate subsequent energy and chemical recovery from these organics. Bioflocculation, accomplished by microorganisms that produce extracellular polymers, is a very important mechanism in these reactors. Bacterial diversity of the sludge and supernatant fraction of HL-MBRs operated at very short sludge retention times (0.125, 0.5, and 1 day) were determined using a PCR-denaturing gradient gel electrophoresis (DGGE) and clone library approach and compared to the diversity in sewage. Already at a sludge retention time (SRT) of 0.125 day, a distinct bacterial community developed compared to the community in sewage. Bioflocculation, however, was low and the majority of the bacteria, especially Arcobacter, were present in the supernatant fraction. Upon increasing SRT from 0.125 to 1 day, a much stronger bioflocculation was accompanied by an increased abundance of Bacteroidetes in the (solid) sludge fraction: 27.5 % at an SRT of 0.5 day and 46.4 % at an SRT of 1 day. Furthermore, cluster analysis of DGGE profiles revealed that the bacterial community structure in the sludge was different from that in the supernatant. To localize specific bacterial classes in the sludge flocs, fluorescence in situ hybridization (FISH) was carried out with three different bacterial probes. This showed that Betaproteobacteria formed clusters in the sludge flocs whereas Alphaproteobacteria and Gammaproteobacteria were mainly present as single cells.

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“…SRT by a fast growing population of X OHO,ACT (Haider et al, 2003;Pala-Ozkok et al, 2013). S Bs is the soluble COD fraction that is non-biodegradable in the HRAS system, but is biodegradable in the B-Stage by a slow growing X OHO,ACT .…”

Section: Figure 1 Electron Flow For Soluble Substratementioning

confidence: 99%

Population balance models: a useful complementary modelling framework for future WWTP modelling

Torfs

Ducoste

Vanrolleghem

et al. 2014

Water Science and Technology

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Population balance models (PBMs) represent a powerful modelling framework for the description of the dynamics of properties that are characterised by distributions. This distribution of properties under transient conditions has been demonstrated in many chemical engineering applications. Modelling efforts of several current and future unit processes in wastewater treatment plants could potentially benefit from this framework, especially when distributed dynamics have a significant impact on the overall unit process performance. In these cases, current models that rely on average properties cannot sufficiently capture the true behaviour and even lead to completely wrong conclusions. Examples of distributed properties are bubble size, floc size, crystal size or granule size. In these cases, PBMs can be used to develop new knowledge that can be embedded in our current models to improve their predictive capability. Hence, PBMs should be regarded as a complementary modelling framework to biokinetic models. This paper provides an overview of current applications, future potential and limitations of PBMs in the field of wastewater treatment modelling, thereby looking over the fence to other scientific disciplines.

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Effect of sludge age on population dynamics and acetate utilization kinetics under aerobic conditions

Cited by 29 publications

References 26 publications

Pyrosequencing reveals the inhibitory impact of chronic exposure to erythromycin on activated sludge bacterial community structure

Pyrosequencing reveals the inhibitory impact of chronic exposure to erythromycin on activated sludge bacterial community structure

Characterization of the bacterial community involved in the bioflocculation process of wastewater organic matter in high-loaded MBRs

Population balance models: a useful complementary modelling framework for future WWTP modelling

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