• DocumentCode
    3307931
  • Title

    Optimization of the Fermentation Medium for Epothilones High-Producing Strain Using Response Surface Methodology Coupled with Desirability Function

  • Author

    Wenting, Bu ; Linna, Du ; Xinhui, Zhou ; Jia, Song ; Chen, Shao ; Peng, Li ; Qingfan, Meng ; Lirong, Teng

  • Author_Institution
    Coll. of Life Sci., Jilin Univ., Changchun, China
  • fYear
    2012
  • fDate
    12-14 Jan. 2012
  • Firstpage
    246
  • Lastpage
    249
  • Abstract
    In this paper, response surface methodology was applied to optimize the fermentation medium for epothilones high-producing strain. Considering the activity of epothilones, desirability function was employed to establish the criterion for the optimization. Suitable carbon sources and nitrogen sources were chosen by single-factor test firstly. Plackett-Burman design combined with the linear model was applied to identify the significant components in the fermentation medium. Based on the results of the Plackett-Burman design, a Box-Behnken design was developed for further optimization. A multivariate quadratic regression model was employed to fit the data of the Box-Behnken design and search for the optimum fermentation medium which was as follows (g·L-1): ammonium acetate 9.00, yeast extraction powder 7.00, sodium carboxymethyl cellulose 0.31, beef extract 4.00, NaCl 4.00, K2HPO4·3H2O 0.40, MgSO4·7H2O 0.20, CaCl2 0.09, FeCl3 0.01. The expected desirability values (Dv) with the optimum fermentation medium was 1.892. Five validation experiments were implemented with the optimum fermentation medium and their average Dv was 1.865. The relative error between the experimental values and the expected value was 1.14%, which indicated that the expected value fits experimental values.
  • Keywords
    biotechnology; fermentation; microorganisms; optimisation; regression analysis; response surface methodology; Box-Behnken design; Plackett-Burman design; epothilones high-producing strain; fermentation medium; multivariate quadratic regression model; optimization; response surface methodology; sodium carboxymethyl cellulose; yeast extraction; Carbon; Mathematical model; Nitrogen; Optimization; Powders; Response surface methodology; Desirability Function; Epothilones; Optimization; Response Surface Methodology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2012 Fifth International Conference on
  • Conference_Location
    Zhangjiajie, Hunan
  • Print_ISBN
    978-1-4673-0470-2
  • Type

    conf

  • DOI
    10.1109/ICICTA.2012.68
  • Filename
    6150187