Abstract
Statistical experimental designs and response surface methodology were employed to optimize the concentrations of agroindustrial residues as soybean oil (SORR) from refinery, and corn steep liquor (CSL) from corn industry, for tensio-active agent produced by Candida sphaerica UCP 0995. Three 22 full factorial design were applied sequentially to investigate the effects of the concentrations and interactions of soybean oil refinery residue and corn steep liquor on the surface tension of free-cell culture broth for 144 h. Two 22 central composite designs and response surface methodology were adopted to derive a statistical model to measure the effect of SORR and CSL on the surface tension of the free-cell culture broth for 144 h. The regression equation obtained from the experimental data using a central composite design was solved, and by analyzing the response surface contour plots, the optimal concentrations of the constituents of the medium were determined: 8.63% v/v (≅9% v/v) of SORR and 8.80% v/v (≅9% v/v) CSL. The minimum surface tension predicted and experimentally confirmed was 25.25 mN/m. The new biosurfactant, denominated Lunasan, recovered 95% of motor oil adsorbed in a sand sample, thus showing great potential for use in bioremediation processes, especially in the petroleum industry.
Highlights
Surfactants are surface active agents with wide ranging properties which include the lowering of the surface and interfacial tensions of liquids
The aim of this study was to optimize low cost medium based on soybean oil refinery residue and corn steep liquor for biosurfactant production by C. sphaerica UCP 0995 using full factorial designs (FFD) and a response surface methodology (RSM)
This paper describes the use of Soybean oil refinery residue (SORR) and corn steep liquor (CSL) as low cost medium components for biosurfactant production by C. sphaerica UCP 0995
Summary
Surfactants are surface active agents with wide ranging properties which include the lowering of the surface and interfacial tensions of liquids. The aim of this study was to optimize low cost medium based on soybean oil refinery residue and corn steep liquor for biosurfactant production by C. sphaerica UCP 0995 using full factorial designs (FFD) and a response surface methodology (RSM). Optimization through factorial design and RSM is a common practice in biotechnology for the optimization of media components and culture conditions [7,8] This method has been successfully applied in the optimization of a medium for biosurfactant production [9,10]. The aim of this investigation was to optimize the tenso-active agent by Candida sphaerica using agroindustrial residues, such as carbon (SORR) and nitrogen (CSL) sources, and its application in order to remove motor oil that is polluting sand
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