Abstract
Biosurfactants are biomolecules produced by microorganisms, which possess several advantages over their chemical counterparts. Production can be cost-effective if renewable wastes are utilized as substrates. In this study, optimization of biosurfactant production by Pseudomonas aeruginosa strain CGA1 was carried out using response surface methodology. The conventional “One factor at a time” method of optimization was initially adopted to ascertain the impact of different renewable wastes on biosurfactant production. Four independent variables were tested: carbon and nitrogen concentration, medium volume, and inoculum size. Biosurfactant production was based on the emulsification index measurement. Results indicated that the preferred carbon source by the isolate was sugar cane molasses. A 2.31-fold increase in biosurfactant yield and emulsification index of 96.3% ± 0.75% under optimized cultural conditions of 20 g/L of molasses, 5 g/L of sodium nitrate, 1.93 ml inoculum size and 60 ml medium volume in 250 ml conical flask were obtained. The regression coefficient (R2) value of 84.15% implied adequate fitness of the model. The surface tension of distilled water was reduced from 72.1 mN/m to 35.0 ± 0.0 mN/m, and critical micelle concentration was attained at 60 mg·L-1. FTIR and GC-MS analysis indicated that the biosurfactant was a lipopeptide having characteristic lipid and peptide peak values. This study proves that the sole use of agro-industrial wastes for the production of biosurfactant is very efficient, and ensures the economic feasibility of biosurfactant production.
Highlights
Surface active agents are substances that contain both hydrophilic and hydrophobic groups in their chemical structure
This study proves that the sole use of agro-industrial wastes for the production of biosurfactant is very efficient, and ensures the economic feasibility of biosurfactant production
The effect of the variables on biosurfactant production showed that only concentration of sugar cane molasses and medium volume had a significant effect on the biosurfactant production (p < 0.05), indicating that the levels of the variables tested had a significant effect on the responses obtained (Table 3)
Summary
Surface active agents (surfactant) are substances that contain both hydrophilic and hydrophobic groups in their chemical structure. The industrial need for biosurfactants over synthetic surfactant is constantly growing [2] They are excellent at the surface and interfacial tension reduction owing to their amphiphilic nature. Pseudomonas aeruginosa strains are among the effective producers of biosurfactant [14] [15] They are known for producing glycolipids and lipopeptides, which have been excellently applied in bioremediation and the biomedical field as antibacterial, antifungal, antiviral and antiadhesives [16] [17] [18]. The present work aimed to optimize biosurfactant production by Pseudomonas aeruginosa strain CGA1 using response surface methodology (RSM), with an agro-industrial waste as the carbon source, and to characterize its chemical structure by Fourier.
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