Microbial Fuel Cells: Types and applications

Kumar, Ravinder, Singh, Lakhveer, and Zularisam, A.W. (2017) Microbial Fuel Cells: Types and applications. In: Singh, Lakhveer, and Kalia, Vipin Chandra, (eds.) Waste Biomass Management – A Holistic Approach. Springer, Cham, Switzerland, pp. 367-384.

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Abstract

Microbial fuel cells (MFCs) are bioelectrochemical devices that convert the chemical energy present in organic or inorganic compounds into electric current by using microorganisms as the catalysts. MFCs are of different types; however, the basic designs used in the laboratories for its applications include double-chamber MFC, single-chamber MFC, upflow MFC and stacked MFC. Moreover, some other designs have also been used for the studies. The type of electrode materials and proton exchange membrane (PEM) used in MFCs has most significant role for its outcomes for different applications such as bioelectricity generation, wastewater treatment, bioremediation of toxic compounds, biohydrogen production and biosensors. Furthermore, MFCs are operated at the optimized parameters such as thermophilic temperatures, neutral pH, etc. to obtain more significant results for respective application. This chapter explores the various types of MFCs, the operational parameters to improve its performance and the most studied applications of the MFCs.

Item ID: 75036
Item Type: Book Chapter (Research - B1)
ISBN: 978-3-319-49595-8
Keywords: Bioelectricity generation, Biosensors, Catalysts, Microbial fuel cells, Proton exchange membrane, Wastewater treatment
Copyright Information: © Springer International Publishing AG 2017.
Date Deposited: 02 Aug 2022 03:22
FoR Codes: 30 AGRICULTURAL, VETERINARY AND FOOD SCIENCES > 3001 Agricultural biotechnology > 300101 Agricultural biotechnology diagnostics (incl. biosensors) @ 50%
41 ENVIRONMENTAL SCIENCES > 4103 Environmental biotechnology > 410303 Bioremediation @ 50%
SEO Codes: 17 ENERGY > 1708 Renewable energy > 170801 Biofuel energy @ 50%
17 ENERGY > 1704 Energy transformation > 170499 Energy transformation not elsewhere classified @ 50%
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