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Metagenomic-based analysis of biofilm communities for electrohydrogenesis: From wastewater to hydrogen

  • Cristiano Varrone
  • , Joy D. Van Nostrand
  • , Wenzong Liu*
  • , Benjamin Zhou
  • , Zhongshi Wang
  • , Fenghai Liu
  • , Zhili He
  • , Liyou Wu
  • , Jizhong Zhou
  • , Aijie Wang
  • *Corresponding author for this work
  • Harbin Institute of Technology
  • University of Oklahoma
  • CAS - Research Center for Eco-Environmental Sciences

Research output: Contribution to journalArticlepeer-review

Abstract

Microbial electrolysis cells (MECs) use exoelectrogenic microorganisms to convert organic matter into H2, although yields can vary significantly with environmental conditions, likely due to variations in microbial communities. This study was undertaken to better understand how microbial communities affect reactor function. Using wastewater as inoculum, 15 MEC reactors were operated for >50 days and subsequently five reactors were selected for further analysis. Solution (26 mL) was collected every 3-4 days for DNA extraction. DNA was hybridized to GeoChip, a comprehensive functional gene array, to examine differences in the reactor microbial communities. A large variety of microbial functional genes were observed in all reactors. Performances ranged from poor (0.1 ± 0.1 mL) to high (12.2 ± 1.0 mL) H2 production, with a maximum yield of 5.01 ± 0.43 mol H2/molglucose. The best performance was associated with higher cytochrome c genes, considerably higher exoelectrogenic bacteria (such as Shewanella, Geobacter), less methanogens and less hydrogen-utilizing bacteria. The results confirmed the possibility to obtain an effective community for hydrogen production using wastewater as inoculum. Not like fermentation, hydrogen production was significantly controlled by electron transporting process in MECs. GeoChip findings suggested that biofilm formation can be highly stochastic and that presence of dissimilatory metal-reducing bacteria and antagonistic methanogens is critical for efficient hydrogen production in MEC reactors.

Original languageEnglish
Pages (from-to)4222-4233
Number of pages12
JournalInternational Journal of Hydrogen Energy
Volume39
Issue number9
DOIs
StatePublished - 18 Mar 2014

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Bioelectrolysis
  • Biofilm
  • Functional gene
  • Hydrogen
  • Wastewater

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