Elsevier

Bioresource Technology

Volume 238, August 2017, Pages 273-280
Bioresource Technology

Bacterial community shift and improved performance induced by in situ preparing dual graphene modified bioelectrode in microbial fuel cell

https://doi.org/10.1016/j.biortech.2017.04.044Get rights and content

Highlights

  • D-GM-BE was prepared by microbial-induced reduction of GO and polarity reversion.

  • Proteobacteria and Firmicutes were the dominant bacteria in GM-BE.

  • Typical exoelectrogens in GM-BE shared much higher proportion.

  • The maximum power density obtained by D-GM-BE MFC was 2.34 times than C-BE-MFC.

Abstract

Dual graphene modified bioelectrode (D-GM-BE) was prepared by in situ microbial-induced reduction of graphene oxide (GO) and polarity reversion in microbial fuel cell (MFC). Next Generation Sequencing technology was used to elucidate bacterial community shift in response to improved performance in D-GM-BE MFC. The results indicated an increase in the relative ratio of Proteobacteria, but a decrease of Firmicutes was observed in graphene modified bioanode (GM-BA); increase of Proteobacteria and Firmicutes were observed in graphene modified biocathode (GM-BC). Genus analysis demonstrated that GM-BE was beneficial to enrich electrogens. Typical exoelectrogens were accounted for 13.02% and 8.83% in GM-BA and GM-BC. Morphology showed that both GM-BA and GM-BC formed 3D-like graphene/biofilm architectures and revealed that the biofilm viability and thickness would decrease to some extent when GM-BE was formed. D-GM-BE MFC obtained the maximum power density by 124.58 ± 6.32 mW m−2, which was 2.34 times over C-BE MFC.

Introduction

Bacteria is regarded as catalysts to convert chemical energy into electricity in microbial fuel cell (MFC), which plays a huge role in the processes of extracellular electron transfer (EET) and energy transfer (Logan and Regan, 2006, Zhao et al., 2017). Obtaining the microbial structure and community in bioelectrode MFC is one of the significant elements to improve the MFC performance, which is beneficial for the development and application of MFC (Xu et al., 2017).

With the development of metagenomics, the Next Generation Sequencing technology has been applied to characterize microbial communities in MFCs in recent studies (Daghio et al., 2015). Luo et al. (2016) discussed the microbial communities in anode biofilm with high concentration of sodium acetate, which indicated that Proteobacteria, Bacteroidetes, and Synergistetes were the dominant phylum, and identified Geobacter as the dominant genus. To explain the high performance of aerobic biocathode MFC, Milner et al. (2016) studied the microbial community of aerobic biocathode with high oxygen reduction reaction (ORR) activity, which demonstrated that uncultured Gammaproteobacteria dominated the high performance and high ORR activity of aerobic biocathode MFC. These studies stated that metagenomics has been served in the field of MFC successfully, and metagenomics would provide much more microbial information to drive the development of MFC.

Graphene is a promising material with excellent physical/chemical characteristics (Cai et al., 2016), which has been applied in MFCs via different modes. In MFCs, graphene modifying anode is generally realized by coating graphene on electrode (Mehdinia et al., 2014), electrodepositing polymer on graphene nanosheets (Shaari and Kamarudin, 2017), etc.; graphene modifying cathode is usually completed by doping N (Hou et al., 2016), Fe (Tang et al., 2017) or Mn (Khilari et al., 2013) to graphene on electrode. These modifying methods are relative complicated and a large amount of chemicals are required. However, there existed an interesting phenomenon: graphene oxide (GO) could be in situ reduced by Shewanella (Wang et al., 2011), Escherichia coli (Gurunathan et al., 2013), etc., which were significant composition of exoelectrogens in MFCs. Owing to its easy operation and environmental friendliness, this approach has been developed in MFCs. Yong et al. (2014) fabricated 3D macroporous rGO/bacteria hybrid biofilm in MFC anode by self-assembly of GO via Shewanella oneidensis MR-1, which improved power density and EET process. Yuan et al. (2012) constructed graphene scaffolds anode by in situ microbially reduced GO via mixed bacteria, which increased power density and coulombic efficiency (CE) in MFCs. This method was relatively easy to be achieved in MFC anode, but there existed development space for in situ modifying cathode. Zhuang et al. (2012) implanted the microbially reduced graphene (completed in anode) into cathode, which formed 3D graphene/biofilm biocathode and enhanced catalytic activity to oxygen reduction reaction (ORR). In our previous studies, in situ graphene modified biocathode (GM-BC) was built by microbial-induced reduction of GO in anode and conducting polarity reversion to graphene modified bioanode (GM-BA), which proved to be an effective method to in situ prepare GM-BC. Based on in situ microbial-induced reduction of GO and polarity reversion, a three-step method to prepare in situ dual graphene modified bioelectrode (D-GM-BE) in a MFC was proposed: GM-BA was initially prepared via microbial-induced reduction of GO in anode; then GM-BC was prepared based on the polarity reversion of GM-BA; GM-BA was needed to be prepared once again.

In situ D-GM-BE is an important development direction for electrode modification. Whereas bacteria act the key role in the process of microbial-induced reduction and polarity reversion, therefore, it is necessary to master the inner regularity between graphene and bacteria. And this is quite critical to understand the complexity and assembly rule of in situ GM-BE, therefore, it is extremely urgent to study the bacterial community shift induced by in situ preparing D-GM-BE in MFC.

In this study, Next Generation Sequencing technology was used to investigate the bacterial community shift in response to in situ microbial-induced reduction and polarity reversion in D-GM-BE MFC. Understanding bioinformatics was of great significance for mastering mechanisms of EET process and ORR in D-GM-BE. Electrochemical analysis was performed to assess the performance of D-GM-BE MFC. Field emission scanning electron microscopy (FESEM) and confocal scanning laser microscopy (CSLM) were conducted to observe the changes of bacterial biofilms caused by in situ preparing D-GM-BE. This study aimed to provide bacterial information induced by in situ preparing D-GM-BE, and contribute to the development and application of D-GM-BE MFC.

Section snippets

MFC running conditions

A two-chamber MFC was adopted in this study, the volume of each chamber was 240 mL. Each MFC reactor was equipped with carbon felt (6 cm × 5 cm) as basic electrode. Anode and cathode chamber were separated by a cation exchange membrane (CEM) as our previous studies (Li et al., 2014, Sun et al., 2015), and active sludge was originally acquired from an urban sewage treatment plant in Guangzhou City. GO solution was synthesized by improved Hummers method (Chen et al., 2015), and GO solution (1 mg L−1)

General characteristics of the pyrosequencing data

For the four biosamples, a total number of 207,774 valid sequences were achieved after quality control. The clean sequences for GM-BA, GM-BC, C-BA and C-BC were 51,387, 55,013, 48,774 and 52,600, respectively. The length of these valid sequences was principally about 100–220 bp, accounting for ∼99% of the total valid sequences. The mean length of these valid sequences was nearly 150 bp. The rarefaction curves of pyrosequencing based on V3 of 16S rRNA gene at genetic distance of 3% showed that

Conclusions

This study summarized bacterial community shift by Next Generation Sequencing technology in D-GM-BE MFC. Proteobacteria and Firmicutes were dominant bacteria in GM-BE in phylum level, and GM-BE was beneficial to enrich exoelectrogens. Typical exoelectrogens in GM-BE shared much higher proportion than those in C-BE. Morphology observation demonstrated that GM-BE formed 3D-like graphene/biofilm architectures. Owing to the enrichment of exoelectrogens, excellent electrochemical behavior of

Acknowledgements

The authors gratefully thank the financial support provided by the National Natural Science Fund of China (NO. 21477039, NO. U1401235 and NO. 51108186), Science and Technology Planning Project of Guangdong province, China (2014A020216042), Scientific and Technological Planning Project of Guangzhou, China (201607010318).

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