Optimization of Alkaline Protease Production by Alkaliphilic Bacillus lehensis G1 using Statistical Design

  • Authors

    • Noorul Aini Sulaiman
    • Low Kheng Oon
    • Nor Muhammad Mahadi
    • Nur Zazarina Ramly
    https://doi.org/10.14419/ijet.v7i4.38.29225
  • Bacillus lehensis, enzyme, extracellular protease, culture medium optimization, response surface methodology

  • Abstract

    A few parameters were optimized to maximize the production of Bacillus lehensis G1’s extracellular protease. The B. lehensis G1 was cultivate using the statistical method with ten different variables. These ten variables were initially screened using the Plackett-Burman design and subsequently, the significant variables were further optimized via response surface methodology. A statistical model for the effect of the four variables which includes casein, corn flour, temperature and NaCl was generated using the central composite design (CCD). The result showed that the production rate of the extracellular protease was twenty-fold higher when compared to the reference medium. These experimental data showed that casein and temperature give a positive and negative effect on protease production, respectively.

     

     

     

  • References

    1. [1] Zanphorlin, L.M., Facchini, F.D.A., Vasconcelos, F. Santos, R.C.B., Rodrigues, A., Sette, L.D., Gomes, E., & Rodriguez, G.O.B. 2000. Production, partial characterization, and immobilization in alginate beads of an alkaline protease from a new thermophilic fungusMyceliophthora sp.. J. Microbiol, 48: 331–336.

      [2] Sawi, S.A., Labdane, H.M., & Abiet, P. 2008. An editerpene from the fruits of Juniperus phoenicea L. grown in Egypt and their activities against human liver carcinoma, Aust. J. Med. Herbal, 2:115–122.

      [3] Saeki, K., Ozaki, K., Kobayashi, T., & Ito, S. 2007. Detergent alkaline proteases: enzymatic properties, genes, and crystal structures. Journal of Bioscience and Bioengineering, 103(6), 501–508.

      [4] Anbu, P., 2013. Characterization of solvent stable extracellular protease from Bacillus koreensis BK-P21A. International Journal of Biological Macromolecules, 56: 162-168.

      [5] Benkiar, A., Jaouadi, Z., Badis, A., Rebzani, F., Touioui, B., Rekik, H., Naili, B., Zohra, F., Bejar, S., & Jaouadi, B., 2013. International biodeterioration biodegradation biochemical and molecular characterization of a thermo- and detergent-stable alkaline serine keratinolytic protease from Bacillus Circulans Strain DZ100 for detergent formulations and feather-biodegradation. International Biodeterioration Biodegradation, 83: 129-138.

      [6] Gupta, R., Beg, Q. K., & Lorenz, P., 2002. Bacterial Alkaline proteases: molecular approaches and industrial applications. Applied Microbiology and Biotechnology, 59: 15-32.

      [7] Joo, H.S., Kumar, C.G., Park, G.H., Kim, K.T., & Paik, S.R., 2000. Optimization of the production of an extracellular alkaline protease from Bacillus Horikoshi. Process Biochem, 38: 155-159.

      [8] Haddar, A., Fakhfakh-Zouari, N., Hmidet, N., Frikha, F. & Nasri, M., 2010. Lowcost fermentation medium for alkaline protease production by Bacillus mojavensis A21 using a hulled grain of wheat and sardinella peptone. J Biosci Bioeng, 3: 288-294.

      [9] Dutta, J.R., Dutta, P.K., & Banerjee, R., 2004. Optimization of culture parameters for extracellular protease production from a newly isolated Pseudomonas sp. using response surface and artificial neural network models. Process Biochem, 39: 2193-2198.

      [10] Moorthy, I.M.G., & Baskar, R., 2013. Statistical modelling and optimization of alkaline protease production from a newly isolated alkaliphilic Bacillus species BGS using response surface methodology and genetic algorithm. Prep Biochem Biotech, 43: 293-314.

      [11] Sulaiman, N.A., Mahadi, N.M., and Ramly, N. Z., 2017. Identification of proteolytic genes from Bacillus lehensis G1. Journal of Engineering and Science Research, 1(2): 14–20.

      [12] Joshi, S., & Satyanarayana, T. (2013). Characteristics and applications of a recombinant alkaline serine protease from a novel bacterium Bacillus lehensis. Bioresource Technology, 131, 76–85.

      [13] Shabbiri, K., Adnan, A., Jamil, S., Ahmad, W., Noor, B., & Rafique, H.M., 2012. Medium optimization of protease production by Brevibacterium linens DSM 20158 using statistical approach. Brazilian Journal of Microbiology, 43(3): 1051–1061.

      [14] Tasharrofi, N., Adrangi, S., Fazeli, M., Rastegar, H., Khoshayand, M.R., & Faramarzi, M.A., 2011. Optimization of chitinase production by Bacillus pumilus using Plackett-Burman design and response surface methodology. Iranian Journal of Pharmaceutical Research, 10(4): 759–768.

      [15] Ren, J.Y., Zhao, M.M., Shi, J., Wang, J.S., Jiang, Y.M., Cui, C., Kakuda, Y. & Xue, S.J. 2008. Optimization of antioxidant peptide production from grass carp sarcoplasmic protein using response surface methodology. Food. Sci. Technol, 41 (9): 1624-1632.

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  • How to Cite

    Aini Sulaiman, N., Kheng Oon, L., Muhammad Mahadi, N., & Zazarina Ramly, N. (2018). Optimization of Alkaline Protease Production by Alkaliphilic Bacillus lehensis G1 using Statistical Design. International Journal of Engineering & Technology, 7(4.38), 1651-1654. https://doi.org/10.14419/ijet.v7i4.38.29225

    Received date: 2019-05-13

    Accepted date: 2019-05-13