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Chinese Journal of Chemical Engineering
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Chinese Journal of Chemical Engineering
Article . 2016 . Peer-reviewed
License: Elsevier TDM
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Inocula selection in microbial fuel cells based on anodic biofilm abundance of Geobacter sulfurreducens

Authors: Sun, Guotao; de Sacadura Rodrigues, Diogo; Thygesen, Anders; Daniel, Geoffrey; Fernando, Dinesh; Meyer, Anne S;

Inocula selection in microbial fuel cells based on anodic biofilm abundance of Geobacter sulfurreducens

Abstract

Abstract Microbial fuel cells (MFCs) rely on microbial conversion of organic substrates to electricity. The optimal performance depends on the establishment of a microbial community rich in electrogenic bacteria. Usually this microbial community is established from inoculation of the MFC anode chamber with naturally occurring mixed inocula. In this study, the electrochemical performance of MFCs and microbial community evolution were evaluated for three inocula including domestic wastewater (DW), lake sediment (LS) and biogas sludge (BS) with varying substrate loading ( L sub ) and external resistance ( R ext ) on the MFC. The electrogenic bacterium Geobacter sulfurreducens was identified in all inocula and its abundance during MFC operation was positively linked to the MFC performance. The LS inoculated MFCs showed highest abundance (18% ± 1%) of G. sulfurreducens , maximum current density [ I max = (690 ± 30) mA·m − 2 ] and coulombic efficiency (CE = 29% ± 1%) with acetate as the substrate. I max and CE increased to (1780 ± 30) mA·m − 2 and 58% ± 1%, respectively, after decreasing the R ext from 1000 Ω to 200 Ω, which also correlated to a higher abundance of G. sulfurreducens (21% ± 0.7%) on the MFC anodic biofilm. The data obtained contribute to understanding the microbial community response to L sub and R ext for optimizing electricity generation in MFCs.

Countries
Denmark, Sweden
Keywords

660, Coulombic efficiency, Denaturing gradient gel electrophoresis, Lake sediment, Anode polarisation resistance, Geobacter sulfurreducens, Bioprocess Technology

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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    16
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Top 10%
Average
Top 10%
Green
hybrid