Optimization of Process Parameters for Bioactive Metabolite Production by Nocardiopsis trehalosi VSM-13 Using Response Surface Methodology and Unstructured Kinetic Modelling

Order of Publishing in Issue: 
1
Volume :11
Issue :3
July, 2017 - September, 2017
Page No: 
223-241
Authors: 
Ushakiranmayi Managamuri[1], Muvva Vijayalakshmi[1]*, V.S Rama Krishna Ganduri [2, 3], Satish Babu R[4] and Sudhakar Poda[3]
Email-ID: 
profmvl08@gmail.com

Nocardiopsis trehalosi VSM 13, an actinobacterium isolated from marine environment was tested for the optimum culture conditions in shake-flask fermentations using one-factor-at-atime method. Response Surface Methodology (RSM) based Central composite Design was used to design the experiments, build the model and determine the optimum conditions for the desirable responses. RSM using a full factorial Box- Behnken design evaluated the optimized process conditions as 10 days of incubation time, pH - 8.0, temperature - 35oC, fructose @ 1.5% (w/v) and yeast extract @ 1% (w/v) which influenced the bioactive metabolite production by N. trehalosi VSM 13 and RSM model obtained results (R2 > 0.99) revealed a satisfactory correlation between the experimental and predicted values. Unstructured kinetic model-based parameters were also evaluated using non-linear regression method to test the fitness of the selected models. Parameters of growth and substrate utilization rates have shown excellent significant R2 values of 0.996 and 0.994, respectively.

Keywords: 
Nocardiopsis trehalosi, Bioactive metabolites, Regression analysis, Statistical optimization.

 
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