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球形节杆菌A152产透明质酸酶的发酵优化及动力学模型的建立
引用本文:姜言晖,张京良,江晓路.球形节杆菌A152产透明质酸酶的发酵优化及动力学模型的建立[J].生物工程学报,2017,33(11):1883-1888.
作者姓名:姜言晖  张京良  江晓路
作者单位:1 中国海洋大学 食品科学与工程学院,山东 青岛 266003,2 中国海洋大学 医药学院,山东 青岛 266003;3 青岛海洋生物医药研究院,山东 青岛 266071,1 中国海洋大学 食品科学与工程学院,山东 青岛 266003;3 青岛海洋生物医药研究院,山东 青岛 266071;4 青岛明月海藻集团有限公司,海藻活性物质国家重点实验室,山东 青岛 266400
基金项目:山东省科技厅 (No. 2015GSF115002) 资助。
摘    要:以制备高产量的透明质酸酶为出发点,利用5 L发酵罐对球形节杆菌A152发酵生产透明质酸酶的条件进行优化,并对其发酵动力学模型进行研究。研究结果表明,转速400 r/min、通气量3.5 L/min时,生物量和透明质酸酶酶活力最优,分别为5 g/L、16.4 U/mL;同时对发酵过程中菌体生长、产物生成及基质消耗的规律进行研究,应用Logistic方程、Luedeking-Piret方程和底物消耗的物料平衡方程建立了球形节杆菌Arthrobacter globiformis A152发酵过程的动力学模型,并通过MATLAB软件进行最优参数估计和非线性拟合。模型的计算值与实验值能较好地拟合,表明所建的模型能较好地反映发酵过程,可为发酵过程的在线控制和预测提供理论基础。

关 键 词:透明质酸酶,发酵优化,动力学模型,非线性拟合
收稿时间:2017/12/13 0:00:00

Establishment of kinetics digital model for hyaluronate lyase production based on fermentation optimization of Arthrobacter globiformis A152
Yanhui Jiang,Jingliang Zhang and Xiaolu Jiang.Establishment of kinetics digital model for hyaluronate lyase production based on fermentation optimization of Arthrobacter globiformis A152[J].Chinese Journal of Biotechnology,2017,33(11):1883-1888.
Authors:Yanhui Jiang  Jingliang Zhang and Xiaolu Jiang
Institution:1 College of Food Science and Engineering, Ocean University of China, Qingdao 266003, Shandong, China,2 College of Medicine and Pharmacy, Ocean University of China, Qingdao 266003, Shandong, China;3 Marine Biomedical Research Institute of Qingdao, Qingdao 266071, Shandong, China and 1 College of Food Science and Engineering, Ocean University of China, Qingdao 266003, Shandong, China;3 Marine Biomedical Research Institute of Qingdao, Qingdao 266071, Shandong, China;4 State Key Laboratory of Bioactive Seaweed Substances, Qingdao Brightmoon Seaweed Group Co. Ltd, Qingdao 266400, Shandong, China
Abstract:In order to produce hyaluronate lyase of high yield, we optimized the fermentation Arthrobacter globiformis A152 in quadruple fermentation of 5 L, and studied the kinetics of fermentation. Both the highest biomass and enzyme activity could be achieved when the rotation speed was 400 r/min and the ventilation volume was 3.5 L/min. In addition, digital models of cell growth, product synthesis and substrate consumption were built by equation of logistic, luedeking-piret, product synthesis and substrate consumption. Nonlinear fitting and estimation of optimal parameters were obtained by MATLAB. The model correlated well between prediction and experimental data, and reflected the change rules of cell growth, hyaluronidase synthesis and substrate consumption during the process of producing hyaluronate lyase. The establishment of fermentation kinetics digital models could provide basis for controlling and prediction of the production process.
Keywords:hyaluronate lyase  fermentation optimization  kinetics model  nonlinear fitting
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