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[Establishment of kinetics digital model for hyaluronate lyase production based on fermentation optimization of Arthrobacter globiformis A152].
Jiang, Yanhui; Zhang, Jingliang; Jiang, Xiaolu.
Afiliação
  • Jiang Y; College of Food Science and Engineering, Ocean University of China, Qingdao 266003, Shandong, China.
  • Zhang J; College of Medicine and Pharmacy, Ocean University of China, Qingdao 266003, Shandong, China.
  • Jiang X; Marine Biomedical Research Institute of Qingdao, Qingdao 266071, Shandong, China.
Sheng Wu Gong Cheng Xue Bao ; 33(11): 1883-1888, 2017 Nov 25.
Article em Zh | MEDLINE | ID: mdl-29202525
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Polissacarídeo-Liases / Arthrobacter / Fermentação Tipo de estudo: Prognostic_studies Idioma: Zh Revista: Sheng Wu Gong Cheng Xue Bao Assunto da revista: BIOTECNOLOGIA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Polissacarídeo-Liases / Arthrobacter / Fermentação Tipo de estudo: Prognostic_studies Idioma: Zh Revista: Sheng Wu Gong Cheng Xue Bao Assunto da revista: BIOTECNOLOGIA Ano de publicação: 2017 Tipo de documento: Article País de afiliação: China