• Title of article

    Optimization of Coenzyme Q10 Production by Gluconobacter japonicus FM10 Using Response Surface Methodology

  • Author/Authors

    Moghadami, Foozieh Department of Biology - Payame Noor University, Tehran , Hosseini, Ramin Department of Biotechnology - Faculty of Agriculture and Natural Resources - Imam Khomeini International University, Qazvin , Fooladi, Jamshid Department of Biotechnology - Faculty of Biological Sciences - Alzahra University, Tehran , Kalantari, Mahdi Department of Statistics - Payame Noor University, Tehran

  • Pages
    8
  • From page
    172
  • To page
    179
  • Abstract
    Introduction: CoQ10 is one of the antioxidants with a worldwide market. Nowadays the CoQ10 production has been considered by fermentation using microorganisms. In this study, the response surface methodology (RSM) was used to optimize culture composition for CoQ10 production by a previously isolated bacterium, Gluconobacter japonicus FM10. Materials and Methods: A central composite design (CCD) was employed to optimize the culture composition including sorbitol, yeast extract, peptone, KH2PO4, and MgSO4 for CoQ10 production. The dry cell weight (DCW) and CoQ10 concentration were monitored as response variables and the desirability function approach was applied to obtain the optimum level for each factor. Results: Results showed that an average, 3 mg/L of CoQ10 was obtained when the optimized culture composition were employed (110 g/L of sorbitol, 25 g/L of yeast extract, 35 g/L of peptone, 0.5 g/L of KH2PO4, and 0.55 g/L of MgSO4). In addition, the expected DCW reached 6 g/L in the presence of 90 g/L of sorbitol, 17.5 g/L of yeast extract, 35 g/L of peptone, 0 g/L of KH2PO4, and 1.7 g/L of MgSO4. Conclusions: The results of regression analysis revealed that the concentrations of peptone and sorbitol were the most effective factors in producing CoQ10 and DCW, respectively.
  • Keywords
    Coenzyme Q10 , Gluconobacter japonicus , Optimization , Response Surface Methodology
  • Journal title
    Journal of Applied Biotechnology Reports
  • Serial Year
    2021
  • Record number

    2714342