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Statistical optimisation of medium components for chitinase production byPaenibacillus sabina strain JD2
Annals of Microbiology volume 57, pages 589–597 (2007)
Abstract
Paenibacillus sabina strain JD2, a chitinolytic marine bacterium, was isolated from sea dumps collected at Sultanpur near Bhavnagar, India and its nutritional requirement for chitinase production was defined using statistical optimisation method. Effect of 8 different medium components on chitinase production byPaenibacillus sabina strain JD2 was screened by Plackett-Burman design. The screened medium components were further used in central composite design where chitinase production, pH and biomass responses were used in different models to evaluate fit ones. After performing power transformation, quadratic model was found to be fit for chitinase response and 2F1 model was found to be fit for biomass response. Whilst for pH response, quadratic model was found to be fit without any requirement of power transformation. In multiresponse analysis, medium formulation consisting of (g/l): chitin 18, yeast extract 0.50, and CaCl2 0.08, was found to predict 82.93 U/ml of chitinase with overall highest desirability of 0.842 as compared to other formulations. The selection of model was done on basis of high adjusted R2 value and loweredp-value for each model in individual analysis of each response. Through desirability analysis, it was found that biomass and pH played an important role in increasing the chitinase production byPaenibacillus sabina strain JD2. Through statistical optimisation method, 2.74-fold increase in chitinase production was achieved as compared to unoptimised medium.
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Patel, B., Gohel, V. & Raol, B. Statistical optimisation of medium components for chitinase production byPaenibacillus sabina strain JD2. Ann. Microbiol. 57, 589–597 (2007). https://doi.org/10.1007/BF03175360
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DOI: https://doi.org/10.1007/BF03175360