Published: CABEQ 37 (2) (2023) 107-121
       Paper type: Original Scientific Paper 
     
W. Zhang, Y. Lu and M. Wang
Abstract
      Lignin-containing wastewater treatment by different microbial consortia were studied in this research. The special microbial consortia (J-6 and J-1) obtained from decayed wooden relics were selected. The bacteria of original microbial consortium J-6 mainly included Shinella, Cupriavidus and Bosea. The bacteria of original microbial consortium J-1 mainly included Serratia and Yersinia. The fungi of J-6 and J-1 were dominated by Saccharomycetales. The performances of two microbial consortia in wastewater treatment were compared, and the changes in community structure were analyzed to study the 
relationship between microbial consortium structure and degradation efficiency. For the 
treatment of model Chinese medicine wastewater, the optimal degradation conditions 
were treatment temperature of 30 °C, initial pH of 7, dissolved oxygen of 2 mg L–1, and 
treatment time of 96 h. The COD (Chemical Oxygen Demand) removal efficiency 
reached 95.25 % by J-1. For the treatment of model papermaking wastewater, the optimal degradation conditions were treatment temperature of 30 °C, pH of 5, dissolved 
oxygen of 3 mg L–1, nitrogen source concentration of 0.1 g L–1, and treatment time of 120 
h. The COD removal efficiency reached 86.8 % by J-6. Bacteria played a significant role 
in the degradation of lignin-containing wastewater, and the bacterial consortium abundance may promote the degradation of organic substances in the wastewater. The dominant strains were different in Chinese medicine wastewater and paper-making wastewater systems. The correlation between microorganisms and the difference in the abundance of bacteria groups may be the reason for the different performances of the two microbial consortia in treating different lignin-containing wastewaters.
    

This work is licensed under a Creative Commons Attribution 4.0 International License
    
Keywords
      lignin-containing wastewater, microbial degradation, community diversity and composition