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Utilizing different food cultures for wastewater treatment and enhanced power generation in microbial fuel cells

Research output: Contribution to JournalArticlepeer-review

Abstract

This study investigates the impact of reactor architecture and biocompatibility of anode material on wastewater treatment and power generation in single-chamber (SC) and dual-chamber (DC) microbial fuel cells (MFCs) by utilizing different bacterial food cultures. Comparison between graphite-coated Cu (composite) and 304L stainless steel (SS) anodes is presented under optimized pH (7.13) and temperature (34 °C). Food cultures, especially buttermilk with an acetic acid substrate, significantly enhanced power density (PD), achieving 2.17 W/m² using composite anode and 1.67 W/m² using SS in SCMFCs. Mixed food cultures raised performance by ~50% achieving 3.31 W/m² and 2.97 W/m² using composite and SS anodes respectively. High chemical oxygen demand (COD) removal rates (>68%) confirm effective wastewater treatment. These findings suggest that macroporous composite anodes can improve microbial compatibility and power output in MFCs, with optimal performance observed at neutral pH and ambient temperatures.
Original languageEnglish
Article number107706
Pages (from-to)1-11
Number of pages11
JournalBiomass and Bioenergy
Volume195
Issue numberApril 2025
DOIs
Publication statusPublished - 17 Feb 2025

Data Access Statement

Data will be made available on request

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 6 - Clean Water and Sanitation
    SDG 6 Clean Water and Sanitation
  2. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  3. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities
  4. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production
  5. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • Microbial Fuel Cell
  • Wastewater
  • Food Cultures
  • Composite Anode
  • Power Generation
  • Reactor Optimization

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