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Bioelectrochemistry. 2018 Feb;119:43-50. doi: 10.1016/j.bioelechem.2017.07.006. Epub 2017 Jul 22.

Temperature, inocula and substrate: Contrasting electroactive consortia, diversity and performance in microbial fuel cells.

Author information

1
School of Civil Engineering and Geosciences, Newcastle University, Newcastle upon Tyne NE1 7RU, UK. Electronic address: elizabeth.heidrich@newcastle.ac.uk.
2
School of Civil Engineering and Geosciences, Newcastle University, Newcastle upon Tyne NE1 7RU, UK.
3
Department of Civil Engineering, University of Glasgow, Glasgow G12 8LT, UK.
4
Warwick Medical School, University of Warwick, Coventry CV4 7AL, UK.

Abstract

The factors that affect microbial community assembly and its effects on the performance of bioelectrochemical systems are poorly understood. Sixteen microbial fuel cell (MFC) reactors were set up to test the importance of inoculum, temperature and substrate: Arctic soil versus wastewater as inoculum; warm (26.5°C) versus cold (7.5°C) temperature; and acetate versus wastewater as substrate. Substrate was the dominant factor in determining performance and diversity: unexpectedly the simple electrogenic substrate delivered a higher diversity than a complex wastewater. Furthermore, in acetate fed reactors, diversity did not correlate with performance, yet in wastewater fed ones it did, with greater diversity sustaining higher power densities and coulombic efficiencies. Temperature had only a minor effect on power density, (Q10: 2 and 1.2 for acetate and wastewater respectively): this is surprising given the well-known temperature sensitivity of anaerobic bioreactors. Reactors were able to operate at low temperature with real wastewater without the need for specialised inocula; it is speculated that MFC biofilms may have a self-heating effect. Importantly, the warm acetate fed reactors in this study did not act as direct model for cold wastewater fed systems. Application of this technology will encompass use of real wastewater at ambient temperatures.

KEYWORDS:

Bayesian modelling; Bioelectrochemical systems; Inoculum; Microbial diversity; Microbial fuel cells; Substrate; Temperature

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