Effects of inoculation sources on the enrichment and performance of anode bacterial consortia in sensor typed microbial fuel cells

Phuong Tran; Linh Nguyen; Huong Nguyen; Bong Nguyen; Linh Nong; Linh Mai; Huyen Tran; Thuy Nguyen; Hai Pham

doi:10.3934/bioeng.2016.1.60

AIMS Bioengineering, 2016, 3(1): 60-74. doi: 10.3934/bioeng.2016.1.60. Research article Topical Section

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Effects of inoculation sources on the enrichment and performance of anode bacterial consortia in sensor typed microbial fuel cells

Phuong Tran, Linh Nguyen, Huong Nguyen, Bong Nguyen, Linh Nong , Linh Mai, Huyen Tran, Thuy Nguyen, Hai Pham

1 Research group for Physiology and Applications of Microorganisms (PHAM group) at Center for Life Science Research, Faculty of Biology, Vietnam National University – University of Science, 334 Nguyen Trai, Thanh Xuan, Hanoi, Vietnam
2 Department of Microbiology, Faculty of Biology, Vietnam National University – University of Science, 334 Nguyen Trai, Thanh Xuan, Hanoi, Vietnam

Received: , Accepted: , Published:

Topical Section: Bioenergy and Biofuels

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Microbial fuel cells are a recently emerging technology that promises a number of applications in energy recovery, environmental treatment and monitoring. In this study, we investigated the effect of inoculating sources on the enrichment of electrochemically active bacterial consortia in sensor-typed microbial fuel cells (MFCs). Several MFCs were constructed, operated with modified artificial wastewater and inoculated with different microbial sources from natural soil, natural mud, activated sludge, wastewater and a mixture of those sources. After enrichment, the MFCs inoculated with the natural soil source generated higher and more stable currents (0.53±0.03 mA), in comparisons with the MFCs inoculated with the other sources. The results from denaturing gradient gel electrophoresis (DGGE) showed that there were significant changes in bacterial composition from the original inocula to the enriched consortia. Even more interestingly, Pseudomonas sp. was found dominant in the natural soil source and also in the corresponding enriched consortium. The interactions between Pseudomonas sp. and other species in such a community are probably the key for the effective and stable performance of the MFCs.

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Keywords: microbial fuel cell; bioelectrochemical system; sensor typed microbial fuel cell; anode bacterial consortia; Pseudomonas sp

Citation: Phuong Tran, Linh Nguyen, Huong Nguyen, Bong Nguyen, Linh Nong , Linh Mai, Huyen Tran, Thuy Nguyen, Hai Pham. Effects of inoculation sources on the enrichment and performance of anode bacterial consortia in sensor typed microbial fuel cells. AIMS Bioengineering, 2016, 3(1): 60-74. doi: 10.3934/bioeng.2016.1.60

References:

1. Ha PT, Tae B, Chang IS (2008) Performance and bacterial consortium of microbial fuel cell fed with formate. Energ Fuels 22: 164–168.
2. Du Z, Li H, Gu T (2007) A state of the art review on microbial fuel cells: A promising technology for wastewater treatment and bioenergy. Biotechnol Adv 25: 464–482.
3. Logan BE (2006) Microbial fuel cells: methodology and technology. Environ Sci Technol 40: 5181–5192.
4. Kim HJ, Hyun MS, Chang IS, et al. (1999) A microbial fuel cell type lactate biosensor using a metal-reducing bacterium, Shewanella putrefaciens. J Microbiol Biotechn 9: 365–367.
5. Kim BH, Chang IS, Gil GC, et al. (2003) Novel BOD (biological oxygen demand) sensor using mediator-less microbial fuel cell. Biotechnol Lett 25: 541–545.
6. Chang IS, Jang JK, Gil GC, et al. (2004) Continuous determination of biochemical oxygen demand using microbial fuel cell type biosensor. Biosens Bioelectron 19: 607–613.
7. Gil GC, Chang IS, Kim BH, et al. (2003) Operational parameters affecting the performannce of a mediator-less microbial fuel cell. Biosens Bioelectron 18: 327–334.
8. Moon H, Chang IS, Kang KH, et al. (2004) Improving the dynamic response of a mediator-less microbial fuel cell as a biochemical oxygen demand (BOD) sensor. Biotechnol Lett 26: 1717–1721.
9. Kim M, Hyun MS, Gadd GM, et al. (2007) A novel biomonitoring system using microbial fuel cells. J Environ Monitor 9: 1323–1328.
10. van der Schalie WH, Shedd TR, Knechtges PL, et al. (2001) Using higher organisms in biological early warning systems for real-time toxicity detection. Biosens Bioelectron 16: 457–465.
11. Ren Z, Zha J, Ma M, et al. (2007) The early warning of aquatic organophosphorus pesticide contamination by on-line monitoring behavioral changes of Daphnia magna. Environ Monit Assess 134: 373–383.
12. Pham TH, Boon N, Aelterman P, et al. (2008) High shear enrichment improve the performance of the anodophillic microbial consortium in a microbial fuel cell. Microb Biotechnol 1: 487–496.
13. Pham H, Boon N, Marzorati M, et al. (2009) Enhanced removal of 1,2-dichloroethane by anodophilic microbial consortia. Water Res 43: 2936–2946.
14. Logan BE, Regan JM (2006) Electricity-producing bacterial communities in microbial fuel cells. Trends Microbiol 14: 512–518.
15. Rabaey K, Boon N, Siciliano SD, et al. (2004) Biofuel cells select for microbial consortia that self-mediate electron transfer. Appl Environ Microbiol 70: 5373–5382.
16. Vázquez-Larios AL, Poggi-Varaldo HM, Solorza-Feria O, et al. (2015) Effect of type of inoculum on microbial fuel cell performance that used RuxMoySez as cathodic catalyst. Int J Hydrogen Energ 40: 17402–17412.
17. Ortega-Martínez AC, Juárez-López K, Solorza-Feria O, et al. (2013) Analysis of microbial diversity of inocula used in a five-face parallelepiped and standard microbial fuel cells. Int J Hydrogen Energ 38: 12589–12599.
18. Li XM, Cheng KY, Selvam A, et al. (2013) Bioelectricity production from acidic food waste leachate using microbial fuel cells: Effect of microbial inocula. Process Biochem 48: 283–288.
19. Greenberg A, Clesceri LS, Eaton AD (1992) Standard Methods for the Examination of Water and Wastewater, 18th Eds., Washington: American Public Health Association.
20. Boon N, De Gelder L, Lievens H, et al. (2002) Bioaugmenting bioreactors for the continuous removal of 3-chloroaniline by a slow release approach. Environ Sci Technol 36: 4698–4704.
21. Muyzer G, de Waal EC, Uitterlinden AG (1993) Profiling of complex microbial populations by denaturing gradient gel electrophoresis analysis of polymerase chain reaction-amplified genes coding for 16S rRNA. Appl Environ Microbiol 59: 695–700.
22. Boon N, De Windt W, Verstraete W, et al. (2002) Evaluation of nested PCR-DGGE (denaturing gradient gel electrophoresis) with group-specific 16S rRNA primers for the analysis of bacterial communities from different wastewater treatment plants. FEMS Microbiol Ecol 39: 101–112.
23. Altschul SF, Gish W., Miller W, et al. (1990) Basic local alignment search tool. J Mol Biol 215: 403–410.
24. Kim JR, Beecroft NJ, Varcoe JR, et al. (2011) Spatiotemporal development of the bacterial community in a tubular longitudinal microbial fuel cell. Appl Microbiol Biotechnol 90: 1179–1191.
25. Stein NE, Hamelers HVM, Buisman CNJ (2012) The effect of different control mechanisms on the sensitivity and recovery time of a microbial fuel cell based biosensor. Sensors and Actuators B: Chemical 171–172: 816–821.
26. Lower SK, Hochella MF, Beveridge TJ (2001) Bacterial recognition of mineral surfaces: nanoscale interactions between Shewanella and alpha-FeOOH. Science 292: 1360–1363.
27. Logan BE (2009) Exoelectrogenic bacteria that power microbial fuel cells. Nat Rev Micro 7: 375–381.
28. Bond DR, Lovley DR (2005) Evidence for involvement of an electron shuttle in electricity generation by Geothrix fermentans. Appl Environ Microbiol 71: 2186–2189.
29. Huang JS, Guo Y, Yang P, et al. (2014) Performance evaluation and bacteria analysis of AFB-MFC enriched with high-strength synthetic wastewater. Water Sci Technol 69: 9–14.
30. Rabaey K, Rodriguez J, Blackall LL, et al. (2007) Microbial ecology meets electrochemistry: electricity-driven and driving communities. ISME J 1: 9–18.
31. Vázquez-Larios AL, Solorza-Feria O, Vázquez-Huerta G, et al. (2011) Effects of architectural changes and inoculum type on internal resistance of a microbial fuel cell designed for the treatment of leachates from the dark hydrogenogenic fermentation of organic solid wastes. Int J Hydrogen Energ 36: 6199–6209.
32. Kim GT, Webster G, Wimpenny JW, et al. (2006) Bacterial community structure, compartmentalization and activity in a microbial fuel cell. J Appl Microbiol 101: 698–710.
33. Madigan MT, Martinko J, Parker J (2004) Brock Biology of Microorganisms. NJ: Pearson Education Inc. 991.
34. Rabaey K, Verstraete W (2005) Microbial fuel cells: novel biotechnology for energy generation. Trends Biotechnol 23: 291–298.
35. Pham TH, Boon N, De Maeyer K, et al. (2008) Use of Pseudomonas species producing phenazine-based metabolites in the anodes of microbial fuel cells to improve electricity generation. Appl Microbiol Biotechnol 80: 985–993.
36. Rabaey K, Boon N, Hofte M, et al. (2005) Microbial phenazine production enhances electron transfer in biofuel cells. Environ Sci Technol 39: 3401–3408.

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Copyright Info: 2016, Hai Pham, et al., licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution Licese (http://creativecommons.org/licenses/by/4.0)

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