SCI和EI收录∣中国化工学会会刊

Chin.J.Chem.Eng. ›› 2015, Vol. 23 ›› Issue (1): 219-226.DOI: 10.1016/j.cjche.2014.11.012

• BIOTECHNOLOGY AND BIOENGINEERING • Previous Articles     Next Articles

Three-stage fermentation and kinetic modeling of bioflocculant by Corynebacterium glutamicum

Liang Shen1, Zhongtao An1, Qingbiao Li1, Chuanyi Yao1, Yajuan Peng1, Yuanpeng Wang1, Ruihua Lai1, Xu Deng2, Ning He1   

  1. 1 Department of Chemical and Biochemical Engineering, College of Chemistry and Chemical Engineering, Xiamen University, The Key Lab for Synthetic Biotechnology of Xiamen City, Xiamen 361005, China;
    2 College of Life Science, Shenzhen Key Laboratory of Microbial Genetic Engineering, Shenzhen University, Shenzhen 518060, China
  • Received:2013-12-02 Revised:2014-05-14 Online:2015-01-24 Published:2015-01-28
  • Contact: Ning He
  • Supported by:

    Supported by the National Natural Science Foundation of China (21206143, 51378444) and the program for New Century Excellent Talents of Education Ministry of China (ncet-13-0501).

Three-stage fermentation and kinetic modeling of bioflocculant by Corynebacterium glutamicum

Liang Shen1, Zhongtao An1, Qingbiao Li1, Chuanyi Yao1, Yajuan Peng1, Yuanpeng Wang1, Ruihua Lai1, Xu Deng2, Ning He1   

  1. 1 Department of Chemical and Biochemical Engineering, College of Chemistry and Chemical Engineering, Xiamen University, The Key Lab for Synthetic Biotechnology of Xiamen City, Xiamen 361005, China;
    2 College of Life Science, Shenzhen Key Laboratory of Microbial Genetic Engineering, Shenzhen University, Shenzhen 518060, China
  • 通讯作者: Ning He
  • 基金资助:

    Supported by the National Natural Science Foundation of China (21206143, 51378444) and the program for New Century Excellent Talents of Education Ministry of China (ncet-13-0501).

Abstract: Fermentation of bioflocculant with Corynebacterium glutamicum was studied by way of kinetic modeling. Lorentzian modified Logistic model, time-corrected Luedeking-Piret and Luedeking-Piret type modelswere proposed and applied to describe the cell growth, bioflocculant synthesis and consumption of substrates, with the correlation of initial biomass concentration and initial glucose concentration, respectively. The results showed that thesemodels could well characterize the batch culture process of C. glutamicumat various initial glucose concentrations from 10.0 to 17.5 g·L-1. The initial biomass concentration could shorten the lag time of cell growth, while the maximum biomass concentration was achieved only at the optimal initial glucose concentration of 16.22 g·L-1. A novel three-stage fed-batch strategy for bioflocculant production was developed based on the model prediction, in which the lag phase, quick biomass growth and bioflocculant production stages were sequentially proceeded with the adjustment of glucose concentration and dissolved oxygen. Biomass of 2.23 g·L-1 was obtained and bioflocculant concentration was enhanced to 176.32 mg·L-1, 18.62% and 403.63% higher than those in the batch process, respectively, indicating an efficient fed-batch culture strategy for bioflocculant production.

Key words: Bioflocculant, Fermentation, Corynebacterium glutamicum, Modeling, Kinetics

摘要: Fermentation of bioflocculant with Corynebacterium glutamicum was studied by way of kinetic modeling. Lorentzian modified Logistic model, time-corrected Luedeking-Piret and Luedeking-Piret type modelswere proposed and applied to describe the cell growth, bioflocculant synthesis and consumption of substrates, with the correlation of initial biomass concentration and initial glucose concentration, respectively. The results showed that thesemodels could well characterize the batch culture process of C. glutamicumat various initial glucose concentrations from 10.0 to 17.5 g·L-1. The initial biomass concentration could shorten the lag time of cell growth, while the maximum biomass concentration was achieved only at the optimal initial glucose concentration of 16.22 g·L-1. A novel three-stage fed-batch strategy for bioflocculant production was developed based on the model prediction, in which the lag phase, quick biomass growth and bioflocculant production stages were sequentially proceeded with the adjustment of glucose concentration and dissolved oxygen. Biomass of 2.23 g·L-1 was obtained and bioflocculant concentration was enhanced to 176.32 mg·L-1, 18.62% and 403.63% higher than those in the batch process, respectively, indicating an efficient fed-batch culture strategy for bioflocculant production.

关键词: Bioflocculant, Fermentation, Corynebacterium glutamicum, Modeling, Kinetics