Maximizing Biosurfactant Yield fromBetaproteobacteria through ResponseSurface Optimization
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Abstract
Background: Microbial biosurfactants are eco-friendly alternatives to synthetic surfactants with diverse industrial applications. However, maximizing their production requires systematic optimization of process parameters. Objectives: The objectives of this study were to optimize biosurfactant production by Betaproteobacteria using response surface methodology (RSM) and evaluate its stability and antimicrobial potential.
Materials and Methods: Thirty bacterial isolates were screened using emulsification index, oil spreading assay, and hemolysis test. A high-performing Betaproteobacteria strain was selected for optimization using central composite design under RSM, considering glucose concentration, temperature, pH, and incubation time as independent variables. Results: Optimal conditions were identified as 20 g/L glucose, 40°C, pH 6, and 10 days of incubation. The biosurfactant exhibited 83% foaming activity, thermal stability up to 40 min across 30–80°C, and pH stability between 4 and 9. In addition, it showed significant antibacterial activity against Escherichia coli. Conclusion: The study demonstrates that RSM effectively enhances biosurfactant yield and functional properties. The produced biosurfactant shows strong potential as a stable and efficient emulsifier for industrial applications.
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