Microbial Community Dynamics in Batch High-Solid Anaerobic Digestion of Food Waste Under Mesophilic Conditions
Author(s) -
Yi Jing,
Bin Dong,
Yonggang Xue,
Ning Li,
Peng Gao,
Yuxin Zhao,
Lingling Dai,
Xiaohu Dai
Publication year - 2014
Publication title -
journal of microbiology and biotechnology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.601
H-Index - 64
eISSN - 1738-8872
pISSN - 1017-7825
DOI - 10.4014/jmb.1306.06067
Subject(s) - methanosarcina , anaerobic digestion , acidogenesis , methanogen , microbial population biology , mesophile , temperature gradient gel electrophoresis , food waste , methanogenesis , biogas , food science , biology , clostridium , organic matter , archaea , chemistry , bacteria , methane , 16s ribosomal rna , ecology , genetics
Microbial community shifts, associated with performance data, were investigated in an anaerobic batch digester treating high-solid food waste under mesophilic conditions using, a combination of molecular techniques and chemical analysis methods. The batch process was successfully operated with an organic removal efficiency of 44.5% associated with a biogas yield of 0.82 L/g VSremoval. Microbial community structures were examined by denaturing gel gradient electrophoresis. Clostridium and Symbiobacterium organisms were suggested to be mainly responsible for the organic matter catabolism in hydrolysis and acidogenesis reactions. The dynamics of archaeal and methanogenic populations were monitored using real-time PCR targeting 16S rRNA genes. Methanosarcina was the predominant methanogen, suggesting that the methanogenesis took place mainly via an aceticlastic pathway. Hydrogenotrophic methanogens were also supported in high-solid anaerobic digestion of food waste through syntrophism with syntrophic bacterium. Microbial community shifts showed good agreement with the performance parameters in anaerobic digestion, implying the possibility of diagnosing a high-solid anaerobic digestion process by monitoring microbial community shifts. On the other hand, the batch results could be relevant to the start-up period of a continuous system and could also provide useful information to set up a continuous operation.
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