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Boosting biomethane yield and production rate with graphene: The potential of direct interspecies electron transfer in anaerobic digestion

Open access
Lin, Richen, Cheng, Jun, Zhang, Jiabei, Zhou, Junhu, Cen, Kefa, Murphy, Jerry D.·2017·Bioresource Technology

Abstract

Interspecies electron transfer between bacteria and archaea plays a vital role in enhancing energy efficiency of anaerobic digestion (AD). Conductive carbon materials (i.e. graphene nanomaterial and activated charcoal) were assessed to enhance AD of ethanol (a key intermediate product after acidogenesis of algae). The addition of graphene (1.0g/L) resulted in the highest biomethane yield (695.0±9.1mL/g) and production rate (95.7±7.6mL/g/d), corresponding to an enhancement of 25.0% in biomethane yield and 19.5% in production rate. The ethanol degradation constant was accordingly improved by 29.1% in the presence of graphene. Microbial analyses revealed that electrogenic bacteria of Geobacter and Pseudomonas along with archaea Methanobacterium and Methanospirillum might participate in direct interspecies electron transfer (DIET). Theoretical calculations provided evidence that graphene-based DIET can sustained a much higher electron transfer flux than conventional hydrogen transfer.

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Metadata

Authors
Lin, R., Cheng, J., Zhang, J., Zhou, J., Cen, K., & Murphy, J. D.
Venue
Bioresource Technology
Publisher
Elsevier BV
Published
2017-09
Volume
239
Pages
345-352
ISSN
0960-8524 (ISSN-L)
OpenAlex
W2611354983
Cited by
360
References
4
FWCI
28.63
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Boosting biomethane yield and production rate with graphene: The potential of direct interspecies electron transfer in anaerobic digestion. https://app.cochat.ai/papers/10.1016/j.biortech.2017.05.017
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Lin, R., Cheng, J., Zhang, J., Zhou, J., Cen, K., & Murphy, J. D. (2017). Boosting biomethane yield and production rate with graphene: The potential of direct interspecies electron transfer in anaerobic digestion. Bioresource Technology. https://doi.org/10.1016/j.biortech.2017.05.017

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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