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Response surface methodology as an approach to optimize growth medium of indigenous strain of Bacillus mycoides for production of biosurfactant

机译:响应面分析法作为一种优化用于生产生物表面活性剂的本地芽孢杆菌菌株生长培养基的方法

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In this study, we have investigated the potential of a native bacterial strain isolated from an Iranian oil field for the production of biosurfactant. The bacterium was identified to be Bacillus mycoides by biochemical tests and 16S ribotyping. The biosurfactant, which was produced by this bacterium, was able to reduce the surface tension of media to 34 mN/m. Biosurfactant production was optimized by the combination of central composite design (CCD) and response surface methodology (RSM). The factor selected for optimization of growth conditions were pH, temperature, glucose and salinity concentrations. The empirical model developed through RSM in terms of effective operational factors mentioned above was found to be adequate to describe the biosurfactant production. Through the analysis, glucose and temperature were found to be the most significant factors, whereas pH and salinity had less effect within the ranges investigated. A maximum reduction in surface tension was obtained under the optimal conditions of 16.55 g/l glucose concentration, 39.03 °C, 55.05 g/l total salt concentration and medium pH 7.37.
机译:在这项研究中,我们调查了从伊朗油田分离出的天然细菌菌株生产生物表面活性剂的潜力。通过生化测试和16S核糖分型法鉴定该细菌为分枝杆菌。该细菌产生的生物表面活性剂能够将培养基的表面张力降低至34 mN / m。通过组合中央复合材料设计(CCD)和响应表面方法(RSM)来优化生物表面活性剂的生产。选择用于优化生长条件的因素是pH,温度,葡萄糖和盐度浓度。发现通过RSM在上述有效操作因素方面建立的经验模型足以描述生物表面活性剂的生产。通过分析,发现葡萄糖和温度是最重要的因素,而在所研究的范围内,pH和盐度的影响较小。在最佳条件下,葡萄糖浓度为16.55 g / l,39.03°C,总盐浓度为55.05 g / l,pH值为7.37时,表面张力最大降低。

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