Food Science and Preservation (한국식품저장유통학회지)

The Korean Society of Food Preservation (한국식품저장유통학회)
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Monitoring of optimal conditions for producing fermented black soybeans rich in sulfur-containing amino acids

  • Sung Ran Yoon (Division of Agriculture Environment Research, Gyongsangbuk-do Agricultural Research and Extension Services) ;
  • Jin Ju Lee (KMF Co., Ltd.) ;
  • Jungmin Park (Division of Agriculture Environment Research, Gyongsangbuk-do Agricultural Research and Extension Services) ;
  • Jung A Ryu (Division of Agriculture Environment Research, Gyongsangbuk-do Agricultural Research and Extension Services) ;
  • Ju-Ock Nam (School of Food Science and Technology, Kyungpook National University) ;
  • Min Sook Kang (Department of Agrofood Resources, National Academy of Agricultural Science, RDA) ;
  • Sun Hwa Kim (KMF Co., Ltd.) ;
  • Yong Jin Jeong (KMF Co., Ltd.)
  • Received : 2023.11.03
  • Accepted : 2023.11.17
  • Published : 2023.12.30
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Abstract

The optimal fermentation conditions for producing fermented black soybeans rich in sulfur-containing amino acids were investigated. Response surface methodology monitored fermentation conditions. A central composite design examined the effect of independent variables: enzyme concentration (X1) and fermentation time (X2) on yield and methionine content. Both factors significantly influenced these dependent variables. Enzyme concentration more profoundly affected amino nitrogen content than fermentation time. β-Glucan content and cystine level were primarily affected by fermentation time. We elicited each variable's regression formula and identified optimal fermentation conditions for functional compounds. The predicted optimum conditions were an enzyme concentration of 0.28-0.32% and a fermentation time of 58.0-62.0 min. Under these optimal conditions, each black soybean variety's sulfur amino acid content ranged from 818.62 to 922.62 mg/100 g, demonstrating significant variety differences.

Keywords

Acknowledgement

This research was supported by cooperative research program for Rural Development Administration in Korea (RDA) (Project No. RS-2022-RD010178).

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