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Mdodeling a nitrite-dependent anaerobic methane oxidation process: parameters identification and model evaluation.

Zhanfei He1, Chen Cai1, Sha Geng1

  • 1Department of Environmental Engineering, Zhejiang University, Hangzhou 310058, China.

Bioresource Technology
|September 3, 2013
PubMed
Summary

Nitrite-dependent anaerobic methane oxidation (n-damo) is a key microbial process. This study developed a kinetic model to optimize conditions for n-damo bacteria, finding methane is not limiting and optimal nitrite levels exist.

Keywords:
Anaerobic methane oxidationKinetic parameterModelN-damo

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Area of Science:

  • Environmental Microbiology
  • Biogeochemical Cycles
  • Microbial Ecology

Background:

  • Nitrite-dependent anaerobic methane oxidation (n-damo) is a recently identified microbial process crucial for methane cycling.
  • This process involves bacteria oxidizing methane using nitrite, producing nitrogen gas.

Purpose of the Study:

  • To develop and validate a kinetic model for the n-damo bioprocess.
  • To determine key kinetic parameters for n-damo bacteria under specific conditions.
  • To identify optimal operational parameters for enhancing n-damo efficiency.

Main Methods:

  • Development of a kinetic model incorporating Monod-type kinetics and diffusion-reaction principles.
  • Conducting batch activity tests to obtain essential kinetic parameters.
  • Operating a sequencing batch reactor (SBR) for 100 days to gather real-world performance data.

Main Results:

  • Key kinetic parameters for n-damo bacteria at 30 °C were determined: growth rate (0.0277 d⁻¹), decay rate (0.00216 d⁻¹), methane affinity (0.092 mmol L⁻¹), nitrite affinity (0.91 mmol L⁻¹), and inhibition constant (4.1 mmol L⁻¹).
  • The developed model accurately simulated SBR performance for the initial 76 days.
  • Methane was found not to be a limiting factor at atmospheric pressure due to high bacterial affinity.
  • The optimal nitrite concentration for the process was identified as 1.92 mmol L⁻¹.

Conclusions:

  • The kinetic model effectively describes the n-damo bioprocess and can predict performance.
  • Understanding kinetic parameters is vital for optimizing n-damo processes in environmental applications.
  • Methane availability is generally sufficient, while nitrite concentration is a critical factor for controlling n-damo efficiency.