Modelling Growth and Bacteriocin Production by Lactobacillus plantarum BC-25 in Response to Temperature and pH in Batch Fermentation
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  • 作者:Kang Zhou ; Yi-ting Zeng ; Xin-feng Han…
  • 关键词:Modelling ; Lactobacillus plantarum ; Plantaricin ; Fermentation ; Temperature ; pH
  • 刊名:Applied Biochemistry and Biotechnology
  • 出版年:2015
  • 出版时间:July 2015
  • 年:2015
  • 卷:176
  • 期:6
  • 页码:1627-1637
  • 全文大小:460 KB
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  • 作者单位:Kang Zhou (1)
    Yi-ting Zeng (1)
    Xin-feng Han (1)
    Shu-liang Liu (1)

    1. College of Food Science, Sichuan Agricultural University, No. 46 Xin Kang Lu, Yu Cheng District, Yaan, 625014, China
  • 刊物类别:Chemistry and Materials Science
  • 刊物主题:Chemistry
    Biotechnology
    Biochemistry
  • 出版者:Humana Press Inc.
  • ISSN:1559-0291
文摘
The use of bacteriocin-producing probiotics to improve food fermentation processes seems promising. However, lack of fundamental information about their functionality and specific characteristics may hinder their industrial use. Predictive microbiology may help to solve this problem by simulating the kinetics of bacteriocin-producing strains and optimising the cell growth and production of beneficial metabolites. In this study, a combined model was developed which could estimate, from a given initial condition of temperature and pH, the growth and bacteriocin production of Lactobacillus plantarum BC-25 in MRS broth. A logistic model was used to model the growth of cells, and the Luedeking-Piret model was used to simulate the biomass and bacteriocin production. The parameters generated from these primary models were used in a response surface model to describe the combined influence on cell growth, biomass and bacteriocin production. Both the temperature and pH influenced cell and bacteriocin production significantly. The optimal temperature and pH for cell growth is 35°C and 6.8, and the optimal bacteriocin production condition is a range dependent on two growth-associated constants (YA/X and K), where temperature is from 27 to 34°C, and pH is 6.35 to 6.65. The developed model is consistent with similar studies and could be a useful tool to control and increase the production of lactic acid bacteria in bioreactors.

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