Abstract
Background: This study targets to optimize and analyse the interactive effects of process variables for improved bioactive metabolite production using RSM and unstructured kinetic modelling by S. halotolerans VSM 2. Materials and Methods: RSM was applied to optimize the interactive effects of five variables, viz., time of incubation, pH, temperature, concentration of maltose and meat extract on bioactive metabolite production and its effect against the five responses viz., S. flexneri, S. marcescens, P. vulgaris, P. aeruginosa and E. coli. Models of Logistic and Luedeking-Piret were used to simulate the cellular increase and bioactive metabolite production. Results: RSM optimal conditions for the bioactive metabolite production recorded were incubation time (12days), pH (8), and temperature (250C), concentrations of maltose and meat extract (1 % w/v) (each). The effect of the bioactive metabolite produced (zone of inhibition) against the responses were found to be 17 mm for S. flexneri, 17 mm for S. marcescens, 16 mm for P. vulgaris, 17 mm for P. aeruginosa and 18 mm for E coli. The data obtained from experimental values are in close agreement with the predicted values of RSM. Model adequacy was evaluated using ANOVA variance where the quadratic effect of p<0.0001 which imply the significance of the model. The unstructured-, mathematical- kinetic models provided a better approximation of profiles of S. halotolerans VSM 2 growth, optimized media utilization and bioactive metabolite production. Conclusion: Optimization of the independent variables for the production of the bioactive metabolite using RSM by S. halotolerans VSM 2 and its effect against the five responses were documented. The predicted values are in good agreement with the experimental values. Unstructured models provided a better approximation of kinetic profiles for bioactive metabolite production by S. halotolerans VSM 2.
Highlights
Nature’s extreme environments are untapped immense potential resources for discovery and isolation of novel microbes that are taxonomically significant
Materials and Methods: Response Surface methodology (RSM) was applied to optimize the interactive effects of five variables, viz., time of incubation, pH, temperature, concentration of maltose and meat extract on bioactive metabolite production and its effect against the five responses viz., S. flexneri, S. marcescens, P. vulgaris, P. aeruginosa and E. coli
The profiles of S. halotolerans VSM 2 growth limiting substrate utilization results acquired from shake flask experiments and model kinetics of experimental versus model predicted zones of inhibition of produced bioactive metabolite on media, inoculated with S. flexneri, S. marcescens, P. vulgaris, P. aeruginosa and E. coli strains over the time
Summary
Nature’s extreme environments are untapped immense potential resources for discovery and isolation of novel microbes that are taxonomically significant. Improved Bioactive Metabolite Production by Saccharopolyspora halotolerans VSM-2 using Response Surface Methodology and Unstructured Kinetic Modeling. When unstructured models are applied for bioactive metabolite production, they would explain the kinetic relationships between substrate, product and biomass. As the statistical methods viz., Full-factorial design cannot investigate the second order effects of process parameters and Taguchi design does not evaluate the interaction effects of parameters, the present study has been conducted with the following objectives: (i) to optimize the independent process variables using Central composite design of RSM which determines the optimal values and the interactive effects of the independent variables for the bioactive metabolite production by Saccharopolyspora halotolerans VSM 2 and its effect against the five responses. (ii) to assess the kinetic parameters (after verification of mathematical model) in the bioactive metabolite production by Saccharopolyspora halotolerans VSM 2 As the statistical methods viz., Full-factorial design cannot investigate the second order effects of process parameters and Taguchi design does not evaluate the interaction effects of parameters, the present study has been conducted with the following objectives: (i) to optimize the independent process variables using Central composite design of RSM which determines the optimal values and the interactive effects of the independent variables for the bioactive metabolite production by Saccharopolyspora halotolerans VSM 2 and its effect against the five responses. (ii) to assess the kinetic parameters (after verification of mathematical model) in the bioactive metabolite production by Saccharopolyspora halotolerans VSM 2
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
