Synergistic co-digestion of waste commercial yeast and chicken manure: Kinetic simulation, DOM variation and microbial community assessment

Hongli Fang, Yongsen Shi, Dunjie Li, Liuying Song, Yu You Li, Rutao Liu, Dong Yuan, Qigui Niu

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

Co-digestion of waste commercial yeast (Saccharomyces cerevisiae) and chicken manure was investigated in batch tests. The objective was to explore potential synergistic effects of the combination substrates. The biogas production rate and biomethane yield, batch kinetic simulation, metabolic dynamic and microbial community comparison were evaluated, respectively. The maximum biomethane yield of 364.79 mL/gVS was obtained at the optimum co-digestion feedstock (S.cerevisiae of 0.69 g/gVS) with a significant reaction rate increased of hydrolysis, acidogenesis, acetogenesis and methanogenesis. Person's correlation analysis resulted that the dissolved organic matter (DOM) variation had a close correlation with indexes of NADH, NH4+-N, COD, VFAs and F420. The high-throughput sequencing showed that higher diversity was obtained both bacteria and archaea in the optimized condition with more abundant of synergistic bacteria. Moreover, community dynamic reflected that the abundances of hydrogentrophic Methanobacterium and Methanolinea raised from 11.74%, 0.23%–14.49%, 60.78%, respectively. While the proportion of the acetoclastic Methanosaeta was decreased from 88.04% to 24.72% with the increasing of S.cerevisiae dosages from 0.48 g/gVS to1.07 g/gVS.

Original languageEnglish
Pages (from-to)2272-2284
Number of pages13
JournalRenewable Energy
Volume162
DOIs
Publication statusPublished - 2020 Dec

Keywords

  • Biogas
  • Chicken manure
  • Co-digestion
  • Synergistic efficiency
  • Waste commercial yeast

Fingerprint

Dive into the research topics of 'Synergistic co-digestion of waste commercial yeast and chicken manure: Kinetic simulation, DOM variation and microbial community assessment'. Together they form a unique fingerprint.

Cite this