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Waste Water Derived Electroactive Microbial Biofilms: Growth, Maintenance, and Basic Characterization
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Bioelectro-Claus processes using MFC technology: Influence of co-substrate.

A Raschitor1, G Soreanu2, C M Fernandez-Marchante1

  • 1Department of Chemical Engineering, Faculty of Chemical Sciences and Technologies, Universidad de Castilla-La Mancha, Campus Universitario s/n, 13071 Ciudad Real, Spain.

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|April 16, 2015
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Summary

This study demonstrates efficient sulphide removal from wastewater exceeding 94% using a microbial fuel cell. The system also produces electricity and oxidizes chemical oxygen demand (COD) effectively.

Keywords:
Bioelectro-ClausMicrobial fuel cellSulphateSulphideSulphur

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Area of Science:

  • Environmental science
  • Electrochemistry
  • Microbiology

Background:

  • Sulphide pollution in wastewater poses environmental and health risks.
  • Microbial fuel cells (MFCs) offer a sustainable approach for wastewater treatment and energy recovery.

Purpose of the Study:

  • To investigate the efficacy of a two-chamber microbial fuel cell in removing sulphide from wastewater.
  • To assess the simultaneous production of electricity and oxidation of chemical oxygen demand (COD).

Main Methods:

  • Utilized a two-chamber microbial fuel cell seeded with activated sludge.
  • Operated the system in a semi-continuous mode using urban and synthetic wastewater as co-substrates.
  • Monitored sulphide depletion, COD removal, and electricity generation.

Main Results:

  • Achieved over 94% sulphide removal efficiency.
  • Generated a maximum power density of 150 mW m⁻².
  • Demonstrated higher than 60% COD removal, with sulphur and sulphate as final products.

Conclusions:

  • The microbial fuel cell is highly effective for simultaneous sulphide removal, electricity generation, and COD oxidation.
  • The system exhibits rapid start-up and stable performance regardless of the co-substrate used.
  • Final sulphur speciation is influenced by the co-substrate type, indicating potential for further process optimization.