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Electrochemical Systems01:24

Electrochemical Systems

41
Electrochemical systems provide a fascinating insight into the dynamic interplay of charged species within various phases. One notable example is the interaction between a membrane permeable to K⁺ ions but not to Cl⁻ ions, separating an aqueous KCl solution from pure water. As K⁺ ions diffuse through the membrane, they generate net charges on each phase, leading to a potential difference between them.Similarly, when a piece of Zn is immersed in an aqueous ZnSO₄ solution,...
41

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Waste Water Derived Electroactive Microbial Biofilms: Growth, Maintenance, and Basic Characterization
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A Multiple Reaction Modelling Framework for Microbial Electrochemical Technologies.

Tolutola Oyetunde1, Priyangshu M Sarma2, Farrukh Ahmad3

  • 1Department of Chemical and Environmental Engineering (CEE) Masdar Institute of Science & Technology, P.O. Box 54224, Abu Dhabi, United Arab Emirates. tolutoyo@gmail.com.

International Journal of Molecular Sciences
|January 6, 2017
PubMed
Summary
This summary is machine-generated.

A new mathematical model evaluates microbial electrochemical technologies (METs), including microbial fuel cells (MFCs) and microbial electrolysis cells (MECs). This framework aids in optimizing MET performance and control strategies.

Keywords:
bio-electrosynthesisbioelectrochemistrybioremediationmodelingresource recovery

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Area of Science:

  • Environmental Science
  • Electrochemistry
  • Microbiology

Background:

  • Microbial electrochemical technologies (METs) offer sustainable solutions for energy and waste treatment.
  • Accurate theoretical models are crucial for understanding and optimizing MET performance.
  • Existing models often lack comprehensive physico-chemical frameworks and detailed reaction kinetics.

Purpose of the Study:

  • To present a novel mathematical model for the theoretical evaluation of METs.
  • To incorporate a detailed physico-chemical framework with multiple reactions and microbial groups.
  • To provide a platform for dynamic description and optimization of METs.

Main Methods:

  • Developed a comprehensive mathematical model for METs.
  • Included detailed physico-chemical processes, electrode reactions, and bulk phase reactions.
  • Applied the model to two case studies: a microbial electrolysis cell (MEC) and a microbial fuel cell (MFC).

Main Results:

  • Investigated the response of an MEC to changes in applied voltage, VFA feed ratio, and membrane type.
  • Analyzed the impact of feed flow rates and concentrations on an MFC for perchlorate reduction.
  • Demonstrated the model's capability to capture complex interactions and dynamic behavior in METs.

Conclusions:

  • The developed model provides a robust framework for theoretical evaluation of METs.
  • It supports the dynamic description of METs with parallel and series reactions in both MFC and MEC configurations.
  • This first-principles-based modeling approach is promising for developing and testing MET control and optimization strategies.