Influence of process dynamics on the microbial diversity in a nitrifying biofilm reactor: Correlation analysis and simulation study

Vannecke, Thomas; Bernet, Nicolas; Winkler, Mari‐Karoliina H.; Santa-Catalina, Gaëlle; Steyer, Jean‐Philippe; Volcke, Eveline

doi:10.1002/bit.25952

Cited by 7 publications

(2 citation statements)

References 61 publications

(96 reference statements)

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“…The literature reports that free NH 3 and free HNO 2 in water may act as inhibitory agents for ammonia oxidizing bacteria (AOB) and nitrite oxidizing bacteria (NOB), but many inhibition thresholds are given. These data are summarized and analyzed by [18] and [19]. For plateau values of 50-60 mS cm −1 and 70 mS cm −1 recorded for campaigns #1 and #2, it can be calculated from Equation (10) that free NH 3 concentrations were 24 and 44 mg NH 3 L −1 , respectively.…”

Section: Influence Of Ec Valuementioning

confidence: 99%

Ammonia Removal Using Biotrickling Filters: Part B: Determination of the Nitrogen Accumulation in the Scrubbing Liquid at a Livestock Facility Using Electrical Conductivity Measurement

Dumont

Lagadec²,

Guingand

et al. 2020

ChemEngineering

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It was demonstrated that the daily monitoring of electrical conductivity (EC) of scrubbing water can easily be used to determine the performance of biotrickling filters treating ammonia (NH3) emissions, generated by livestock facilities. Two different measurement campaigns were carried out on a pilot-scale biotrickling filter installed at a pig facility. Different phases of the operation were observed for each campaign, in accordance with EC values. For EC ranges of between 5 and 40 mS cm−1, performance was similar for both campaigns, indicating that the nitrogen accumulated in water (φ) was controlled by the operating conditions and biotrickling filter design (φ = 205 gN day−1 corresponding to 1.71 mS cm−1 day−1). Due to the correlation established in Part A of this study, the performance of the biotrickling filter can be directly expressed as gN h−1 m−3packing material without gas-phase monitoring. Thus, for an Empty Bed Residence Time of 1 s, the nitrogen accumulation capacity of the biotrickling filter was 24 gN h−1 m−3packing material. For higher EC values, the ammonia mass transfer slowed down and stopped with EC at around 50–60 mS cm−1 (campaign #1) and 70 mS cm−1 (campaign #2). It was evidenced that the mass transfer stopped due to ammonia mass transfer limitation controlled by the driving force, although biomass inhibition can occur at these levels of nitrogen concentration in the scrubbing liquid. EC monitoring can also be used to assess the ratio of nitrogen accumulated in water φ and amount of ammonia entering the system φmax. Thus φ/φmax ratios of 41% and 27% were recorded for campaign #1 and #2 respectively.

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Section: Influence Of Ec Valuementioning

confidence: 99%

Ammonia Removal Using Biotrickling Filters: Part B: Determination of the Nitrogen Accumulation in the Scrubbing Liquid at a Livestock Facility Using Electrical Conductivity Measurement

Dumont

Lagadec²,

Guingand

et al. 2020

ChemEngineering

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“…This knowledge can then be used to asses different design and operational strategies to identify key control parameters (such as morphology [39,40] or DO [41]) and obtain a stable, well-performing process (in terms of both effluent quality [9,32] and emissions [39]). Despite the recent progress in modeling of the PN/A process, more efforts must be made to incorporating dynamic microbial ecology data [26,[40][41][42]. Finally, mechanistic modeling output needs to be coupled back to the engineering approach and microbiology analysis (and vice versa) to obtain a predictable and hence transferable process.…”

Section: Pragmatic Modelingmentioning

confidence: 99%

Success of mainstream partial nitritation/anammox demands integration of engineering, microbiome and modeling insights

Agrawal

Seuntjens

Cocker

et al. 2018

Current Opinion in Biotechnology

136

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Twenty years ago, mainstream partial nitritation/anammox (PN/A) was conceptually proposed as pivotal for a more sustainable treatment of municipal wastewater. Its economic potential spurred research, yet practice awaits a comprehensive recipe for microbial resource management. Implementing mainstream PN/A requires transferable and operable ways to steer microbial competition as to meet discharge requirements on a year-round basis at satisfactory conversion rates. In essence, the competition for nitrogen, organic carbon and oxygen is grouped into 'ON/OFF' (suppression/promotion) and 'IN/OUT' (wash-out/retention and seeding) strategies, selecting for desirable conversions and microbes. Some insights need mechanistic understanding, while empirical observations suffice elsewhere. The provided methodological R&D framework integrates insights in engineering, microbiome and modeling. Such synergism should catalyze the implementation of energy-positive sewage treatment.

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Continuum and discrete approach in modeling biofilm development and structure: a review

et al. 2017

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The scientific community has recognized that almost 99% of the microbial life on earth is represented by biofilms. Considering the impacts of their sessile lifestyle on both natural and human activities, extensive experimental activity has been carried out to understand how biofilms grow and interact with the environment. Many mathematical models have also been developed to simulate and elucidate the main processes characterizing the biofilm growth. Two main mathematical approaches for biomass representation can be distinguished: continuum and discrete. This review is aimed at exploring the main characteristics of each approach. Continuum models can simulate the biofilm processes in a quantitative and deterministic way. However, they require a multidimensional formulation to take into account the biofilm spatial heterogeneity, which makes the models quite complicated, requiring significant computational effort. Discrete models are more recent and can represent the typical multidimensional structural heterogeneity of biofilm reflecting the experimental expectations, but they generate computational results including elements of randomness and introduce stochastic effects into the solutions.

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Influence of process dynamics on the microbial diversity in a nitrifying biofilm reactor: Correlation analysis and simulation study

Cited by 7 publications

References 61 publications

Ammonia Removal Using Biotrickling Filters: Part B: Determination of the Nitrogen Accumulation in the Scrubbing Liquid at a Livestock Facility Using Electrical Conductivity Measurement

Ammonia Removal Using Biotrickling Filters: Part B: Determination of the Nitrogen Accumulation in the Scrubbing Liquid at a Livestock Facility Using Electrical Conductivity Measurement

Success of mainstream partial nitritation/anammox demands integration of engineering, microbiome and modeling insights

Continuum and discrete approach in modeling biofilm development and structure: a review

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