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Enhanced electricity production from microbial fuel cells with plasma-modified carbon paper anode

doi: 10.1039/c2cp40873b
pmid: 22699925
Microbial fuel cells (MFC) provide a new opportunity for simultaneous electricity generation and waste treatment. An improvement in the anode capacity of MFCs is essential for their scale-up and commercialization. In this work we demonstrate, for the first time, that plasma-based ion implantation could be used as an effective approach to modify carbon paper as an anode for MFC to improve its electricity-generating capacity. After the N(+) ion implantation, a decreased charge-transfer resistance is achieved, which is attributed to the increased C-N bonds after N(+) ion implantation. In addition, the surface roughness and hydrophobicity are also changed, which favor microbial adhesion on the anode surface. The cyclic voltammetry results show that both the electrochemical activity and the electron transfer are enhanced remarkably, leading to better MFC performance compared to the control. Such a plasma surface modification technique provides an effective way to modify the electrode for enhancing MFC performance for power generation.
- University of Science and Technology of China China (People's Republic of)
- Institute of Plasma Physics China (People's Republic of)
- Jiangsu University China (People's Republic of)
- Jiangsu University China (People's Republic of)
- Chinese Academy of Sciences China (People's Republic of)
Paper, Bioelectric Energy Sources, Surface Properties, Electrochemical Techniques, Carbon, Electricity, Electrodes
Paper, Bioelectric Energy Sources, Surface Properties, Electrochemical Techniques, Carbon, Electricity, Electrodes
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).80 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).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
