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三段式谷氨酸棒杆菌发酵生产生物絮凝剂的过程及动力学模拟(英文)
引用本文:沈亮,安仲涛,李清彪,姚传义,彭雅娟,王远鹏,赖瑞华,邓旭,何宁.三段式谷氨酸棒杆菌发酵生产生物絮凝剂的过程及动力学模拟(英文)[J].中国化学工程学报,2015,23(1):219-226.
作者姓名:沈亮  安仲涛  李清彪  姚传义  彭雅娟  王远鹏  赖瑞华  邓旭  何宁
作者单位: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
基金项目:Supported by the National Natural Science Foundation of China(21206143,51378444);the program for New Century Excellent Talents of Education Ministry of China(ncet-13-0501)
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 models were pro-posed 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 these models could well characterize the batch culture process of C. glutamicum at various initial glucose con-centrations from 10.0 to 17.5 g·L?1. The initial biomass concentration could shorten the lag time of cel 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  
收稿时间:2013-12-02

Three-stage fermentation and kinetic modeling of bioflocculant by Corynebacterium glutamicum
Liang Shen;Zhongtao An;Qingbiao Li;Chuanyi Yao;Yajuan Peng;Yuanpeng Wang;Ruihua Lai;Xu Deng;Ning He.Three-stage fermentation and kinetic modeling of bioflocculant by Corynebacterium glutamicum[J].Chinese Journal of Chemical Engineering,2015,23(1):219-226.
Authors:Liang Shen;Zhongtao An;Qingbiao Li;Chuanyi Yao;Yajuan Peng;Yuanpeng Wang;Ruihua Lai;Xu Deng;Ning He
Affiliation: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
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.
Keywords:Bioflocculant  Fermentation  Corynebacterium glutamicum  Modeling  Kinetics
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