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Waste Water Derived Electroactive Microbial Biofilms: Growth, Maintenance, and Basic Characterization
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Modeling Microbial Electrosynthesis.

Benjamin Korth1, Falk Harnisch2

  • 1Department of Environmental Microbiology, Helmholtz-Centre for Environmental Research - UFZ, Leipzig, Germany. benjamin.korth@ufz.de.

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Summary
This summary is machine-generated.

Mathematical modeling aids in understanding microbial electrosynthesis (MES). This chapter details modeling strategies for MES biocathodes, offering insights into electron transfer and microbial metabolism for improved process design.

Keywords:
AutotrophyBiocathodeCathodic extracellular electron transferMicrobial electrochemical technologiesMicrobial fuel cells

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Area of Science:

  • Bioelectrochemistry
  • Microbial Electrosynthesis (MES)
  • Mathematical Modeling

Background:

  • Microbial electrosynthesis (MES) is complex, requiring advanced assessment tools.
  • Experimental research in MES is often complemented by mathematical modeling.
  • Lack of knowledge on extracellular electron transfer and electrotrophic microbes hinders MES model development, especially for biocathodes.

Purpose of the Study:

  • To provide a comprehensive overview of compartments, components, and processes in MES.
  • To present appropriate modeling strategies for MES, focusing on biocathodes.
  • To offer guidance on calculating stoichiometry, thermodynamics, and kinetics for electro-autotrophic growth.

Main Methods:

  • Describing and linking compartments, components, and processes with mathematical equations.
  • Adapting established approaches for assessing microorganism energetics.
  • Detailing differential equations for coupling bioelectrochemical system compartments.

Main Results:

  • Provides a framework for analyzing and predicting MES performance across temporal and local scales.
  • Offers strategies for calculating cathodic electron uptake and linking it to microbial metabolism.
  • Focuses on biocathodes as a key functional link between cathodes and microorganisms.

Conclusions:

  • Mathematical modeling is crucial for understanding MES fundamental phenomena and process engineering.
  • This chapter equips researchers with tools to develop more adequate models for MES, particularly biocathodes.
  • The presented methods facilitate insights into electro-autotrophic microbial growth and bioelectrochemical system design.