Model-based characterization of endogenous maintenance, cell death and predation processes of activated sludge in sequencing batch reactors

Ni, Bing‐Jie; Sheng, Guo‐Ping; Yu, Han‐Qing

doi:10.1016/j.ces.2010.11.033

Cited by 18 publications

(7 citation statements)

References 36 publications

(53 reference statements)

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“…Wu et al., 2019 ; Yu et al., 2017 ). Although the predatory effects of protozoa on WWTPs have been previously studied ( Hao et al., 2011 ; Lee and Oleszkiewicz, 2003 ; Ni et al., 2011 ), advanced studies on predatory and parasitic prokaryotes that have not yet been isolated have been reported. Zhang et al .…”

Section: Introductionmentioning

confidence: 99%

Metabolic implications for predatory and parasitic bacterial lineages in activated sludge wastewater treatment systems

et al. 2023

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Section: Introductionmentioning

confidence: 99%

Metabolic implications for predatory and parasitic bacterial lineages in activated sludge wastewater treatment systems

et al. 2023

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“…Maintenance, in 2 its most general assertion, is the consumption of energy for all processes other than growth: it is modelled either by adding a negative term on the substrate dynamic without associating it to growth or by considering a decay term on the biomass dynamics, as in (1). For more information about the modelling of maintenance, the reader is referred to [16]. These models present the advantage of being complex enough to capture important process properties while being simple enough to be mathematically studied.…”

Section: Introductionmentioning

confidence: 99%

A model of a syntrophic relationship between two microbial species in a chemostat including maintenance

Sari

Harmand

2016

Mathematical Biosciences

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Many microbial ecosystems can be seen as microbial 'food chains' where the different reaction steps can be seen as such: the waste products of the organisms at a given reaction step are consumed by organisms at the next reaction step. In the present paper we study a model of a two-step biological reaction with feedback inhibition, which was recently presented as a reduced and simplified version of the anaerobic digestion model ADM1 of the International Water Association (IWA). It is known that in the absence of maintenance (or decay) the microbial 'food chain' is stable. In a previous study, using a purely numerical approach and ADM1 consensus parameter values, it was shown that the model remains stable when decay terms are added. However, the authors could not prove in full generality that it remains true for other parameter values. In this paper we prove that introducing decay in the model preserves stability whatever its parameters values are and for a wide range of kinetics.

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“…The model by Fan et al (2012) also incorporated specifically the production of soluble microbial products (SMP) which play an important role in wastewater treatment effluent (Barker and Stuckey 1999). Several models considered the effect of protozoan and metazoan predation on microbial biomass in activated sludge (Moussa et al 2005;Ni et al 2010;Ni et al 2011). Heavy metals in the bulk fluid may as well influence the growth rates at least for certain microbial groups.…”

Section: Kinetic Models and Their Adaptionsmentioning

confidence: 99%

Modeling microbial growth and dynamics

Esser

Leveau

Meyer

2015

Appl Microbiol Biotechnol

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Modeling has become an important tool for widening our understanding of microbial growth in the context of applied microbiology and related to such processes as safe food production, wastewater treatment, bioremediation, or microbe-mediated mining. Various modeling techniques, such as primary, secondary and tertiary mathematical models, phenomenological models, mechanistic or kinetic models, reactive transport models, Bayesian network models, artificial neural networks, as well as agent-, individual-, and particle-based models have been applied to model microbial growth and activity in many applied fields. In this mini-review, we summarize the basic concepts of these models using examples and applications from food safety and wastewater treatment systems. We further review recent developments in other applied fields focusing on models that explicitly include spatial relationships. Using these examples, we point out the conceptual similarities across fields of application and encourage the combined use of different modeling techniques in hybrid models as well as their cross-disciplinary exchange. For instance, pattern-oriented modeling has its origin in ecology but may be employed to parameterize microbial growth models when experimental data are scarce. Models could also be used as virtual laboratories to optimize experimental design analogous to the virtual ecologist approach. Future microbial growth models will likely become more complex to benefit from the rich toolbox that is now available to microbial growth modelers.

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Model-based characterization of endogenous maintenance, cell death and predation processes of activated sludge in sequencing batch reactors

Cited by 18 publications

References 36 publications

Metabolic implications for predatory and parasitic bacterial lineages in activated sludge wastewater treatment systems

Metabolic implications for predatory and parasitic bacterial lineages in activated sludge wastewater treatment systems

A model of a syntrophic relationship between two microbial species in a chemostat including maintenance

Modeling microbial growth and dynamics

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