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Managing microbial communities in membrane biofilm reactors.

A Ontiveros-Valencia1,2,3, C Zhou4, H-P Zhao5,6

  • 1Department of Civil and Environmental Engineering and Earth Sciences, University of Notre Dame, 156 Fitzpatrick Hall, Notre Dame, IN, 46617, USA. aura_ontiveros@itesm.mx.

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This summary is machine-generated.

Membrane biofilm reactors (MBfRs) use biofilms on membranes for contaminant remediation. Controlling microbial communities via design features optimizes MBfR performance for environmental applications.

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Area of Science:

  • Environmental Engineering
  • Environmental Microbiology
  • Biotechnology

Background:

  • Membrane biofilm reactors (MBfRs) utilize biofilms on gas-transfer membranes to deliver gaseous substrates.
  • MBfRs can facilitate contaminant reduction (e.g., nitrate, perchlorate) using H2 or CH4 as electron donors.
  • Alternatively, MBfRs can oxidize reduced contaminants (e.g., benzene, toluene) using O2 as an electron acceptor.

Purpose of the Study:

  • To investigate the management of microbial communities within MBfRs for optimal performance.
  • To highlight the importance of controlling microbial community structure and function in MBfRs.
  • To emphasize the integration of performance data with omics results for successful MBfR design and operation.

Main Methods:

  • Controlling microbial community growth through design and operational features.
  • Adjusting gas pressure, membrane type, and surface loadings.
  • Integrating performance data with omics results (e.g., stoichiometric and kinetic modeling).

Main Results:

  • Specific design and operation features can effectively select and sustain desired microbial communities in MBfRs.
  • Management of microbial communities is crucial for preventing poor performance due to undesirable microorganisms.
  • Holistic understanding of microbial community dynamics is key to successful MBfR application.

Conclusions:

  • MBfR performance is directly linked to the structure and function of its associated microbial community.
  • Strategic control of design and operational parameters allows for effective management of MBfR microbial communities.
  • Integrating diverse data types, including omics and performance metrics, is essential for advancing MBfR technology.