In this study, the authors have investigated the potential of a bacterial strain of Pantoea sp., isolated from wastewater of the textile industry, for the production of biosurfactant. The biosurfactant production was ...In this study, the authors have investigated the potential of a bacterial strain of Pantoea sp., isolated from wastewater of the textile industry, for the production of biosurfactant. The biosurfactant production was optimized by the combination of CCD （central composite design） and RSM （response surface methodology）. To assess the effects and interactions of medium the vegetable fat （1.5, 2.0 and 2.5 v/v）, the variables corn steep liquor （2.0, 5.0 and 8.0 v/v） and pineapple peel residue （10.0, 25.0 and 40.0 v/v） on the surface tension were evaluated. The empirical model developed through RSM in terms of the effective operational factors mentioned above was found to be adequate to describe the biosurfactant production. Compositional analysis of the produced biosurfaetant has been carried out by FT-IR （Fourier transform infrared spectoscopy） and subjected to the test of removing hydrocarbons. Through the analysis, vegetable fat and pineapple peel residue were found to be the most significant factors, whereas corn steep liquor had less effect within the ranges investigated. A maximum reduction in surface tension of 30.00 mN/m was obtained under the optimal conditions of 2.0% （v/v） vegetable fat concentration, 5.0% （v/v） corn steep liquor and 25.0% （v/v） pineapple peel residue concentration of medium. FT-IR spectrometer analysis of the biosurfactant characterized it as a glycolipid derivative. The biosurfactant exhibited the ability to solubilize the hydrocarbons tested, working between 64% and 92%. According to consists of bars with a length proportional to the absolute value of the estimated effects divided by the standard error. On this chart, ANOVA （analysis of variance） effect estimates are arranged from the largest to smallest absolute value. The chart includes a vertical line at the critical p-value of 0.05. Effects for which the bars are smaller than the critical p-value are considered non-significant and do not have an effect on the response variables. The effects are either positive or negative ANOVA; the determination of regression coefficients and the construction of graphs were performed using the Statistical program, version 7.0 （Statsoft Inc, RSA）. The results, the biosurfactant produced by Pantoea sp. can be a valuable source for application in rapid environmental bioremediation.展开更多
文摘In this study, the authors have investigated the potential of a bacterial strain of Pantoea sp., isolated from wastewater of the textile industry, for the production of biosurfactant. The biosurfactant production was optimized by the combination of CCD （central composite design） and RSM （response surface methodology）. To assess the effects and interactions of medium the vegetable fat （1.5, 2.0 and 2.5 v/v）, the variables corn steep liquor （2.0, 5.0 and 8.0 v/v） and pineapple peel residue （10.0, 25.0 and 40.0 v/v） on the surface tension were evaluated. The empirical model developed through RSM in terms of the effective operational factors mentioned above was found to be adequate to describe the biosurfactant production. Compositional analysis of the produced biosurfaetant has been carried out by FT-IR （Fourier transform infrared spectoscopy） and subjected to the test of removing hydrocarbons. Through the analysis, vegetable fat and pineapple peel residue were found to be the most significant factors, whereas corn steep liquor had less effect within the ranges investigated. A maximum reduction in surface tension of 30.00 mN/m was obtained under the optimal conditions of 2.0% （v/v） vegetable fat concentration, 5.0% （v/v） corn steep liquor and 25.0% （v/v） pineapple peel residue concentration of medium. FT-IR spectrometer analysis of the biosurfactant characterized it as a glycolipid derivative. The biosurfactant exhibited the ability to solubilize the hydrocarbons tested, working between 64% and 92%. According to consists of bars with a length proportional to the absolute value of the estimated effects divided by the standard error. On this chart, ANOVA （analysis of variance） effect estimates are arranged from the largest to smallest absolute value. The chart includes a vertical line at the critical p-value of 0.05. Effects for which the bars are smaller than the critical p-value are considered non-significant and do not have an effect on the response variables. The effects are either positive or negative ANOVA; the determination of regression coefficients and the construction of graphs were performed using the Statistical program, version 7.0 （Statsoft Inc, RSA）. The results, the biosurfactant produced by Pantoea sp. can be a valuable source for application in rapid environmental bioremediation.
