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Microbial Production of Bacterial Cellulose Using Chestnut Shell Hydrolysates by Gluconacetobacter xylinus ATCC 53524

  • Jeongho Lee (Department of Biotechnology, Sangmyung University) ;
  • Kang Hyun Lee (Department of Biotechnology, Sangmyung University) ;
  • Seunghee Kim (Department of Biotechnology, Sangmyung University) ;
  • Hyerim Son (Department of Biotechnology, Sangmyung University) ;
  • Youngsang Chun (Department of Bio-Convergence Engineering, Dongyang Mirae University) ;
  • Chulhwan Park (Department of Chemical Engineering, Kwangwoon University) ;
  • Hah Young Yoo (Department of Biotechnology, Sangmyung University)
  • Received : 2022.08.14
  • Accepted : 2022.09.19
  • Published : 2022.11.28

Abstract

Bacterial cellulose (BC) is gaining attention as a carbon-neutral alternative to plant cellulose, and as a means to prevent deforestation and achieve a carbon-neutral society. However, the high cost of fermentation media for BC production is a barrier to its industrialization. In this study, chestnut shell (CS) hydrolysates were used as a carbon source for the BC-producing bacteria strain, Gluconacetobacter xylinus ATCC 53524. To evaluate the suitability of the CS hydrolysates, major inhibitors in the hydrolysates were analyzed, and BC production was profiled during fermentation. CS hydrolysates (40 g glucose/l) contained 1.9 g/l acetic acid when applied directly to the main medium. As a result, the BC concentration at 96 h using the control group and CS hydrolysates was 12.5 g/l and 16.7 g/l, respectively (1.3-fold improved). In addition, the surface morphology of BC derived from CS hydrolysates revealed more densely packed nanofibrils than the control group. In the microbial BC production using CS, the hydrolysate had no inhibitory effect during fermentation, suggesting it is a suitable feedstock for a sustainable and eco-friendly biorefinery. To the best of our knowledge, this is the first study to valorize CS by utilizing it in BC production.

Keywords

Acknowledgement

This study was supported by the National Research Foundation of Korea (NRF) grant funded by the Ministry of Science and ICT (MSIT) (NRF-2020R1A2C1007493 and NRF-2020R1C1C1005060).

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