Ethanol prefermentation of food waste in sequencing batch methane fermentation for improved buffering capacity and microbial community analysis

Miao Yu, Chuanfu Wu, Qunhui Wang, Xiaohong Sun, Yuanyuan Ren, Yu You Li

Research output: Contribution to journalArticlepeer-review

20 Citations (Scopus)

Abstract

This study investigates the effects of ethanol prefermentation (EP) on methane fermentation. Yeast was added to the substrate for EP in the sequencing batch methane fermentation of food waste. An Illumina MiSeq high-throughput sequencing system was used to analyze changes in the microbial community. Methane production in the EP group (254 mL/g VS) was higher than in the control group (35 mL/g VS) because EP not only increased the buffering capacity of the system, but also increased hydrolytic acidification. More carbon source was converted to ethanol in the EP group than in the control group, and neutral ethanol could be converted continuously to acetic acid, which promoted the growth of Methanobacterium and Methanosarcina. As a result, the relative abundance of methane-producing bacteria was significantly higher than that of the control group. Kinetic modeling indicated that the EP group had a higher hydrolysis efficiency and shorter lag phase.

Original languageEnglish
Pages (from-to)187-193
Number of pages7
JournalBioresource Technology
Volume248
DOIs
Publication statusPublished - 2018 Jan

Keywords

  • Ethanol prefermentation
  • Food waste
  • High-throughput sequencing
  • Methane fermentation
  • Microbial community

ASJC Scopus subject areas

  • Bioengineering
  • Environmental Engineering
  • Renewable Energy, Sustainability and the Environment
  • Waste Management and Disposal

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