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Multifactorial Approach to Biosurfactant Production by Adaptive Strain Candida tropicalis MTCC 230 in the Presence of Hydrocarbons

机译:碳氢化合物存在下自适应菌株热带念珠菌MTCC 230生产生物表面活性剂的多因素方法

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In this study, Candida tropicalis MTCC 230 was used to adapted in hydrocarbon along with glucose for biosurfactant production, showing diauxic growth during the production. Biosurfactant was characterized through TLC and FTIR analysis as surfactin, a lipopeptide. Process parameters were optimized one factor at a time, showing the highest emulsification index (%E (24)) at 54 %. The production of biosurfactant was enhanced by using biostatistically based experimental design with the interactive effect of different parameters. On the basis of Placket-Burman design, four factors, hydrocarbon, ammonium chloride, microelements and temperature are found to be significant (P < 0.05) for the production of biosurfactant. A second order polynomial regression model in central composite design estimated the maximum biosurfactant production in terms of the emulsification index (%E (24)). The optimum combination of different parameters for the biosurfactant production, obtained for hydrocarbon, ammonium chloride, microelements and temperature are 81.41 %, 1.63 (g/l), 1.69 (g/l) and 35.25 A degrees C, respectively. The biosurfactant production was increased twofold after optimization and selection of interactive parameters by response surface methodology.
机译:在这项研究中,热带假丝酵母MTCC 230用于与碳氢化合物一起适应碳氢化合物,以生产生物表面活性剂,在生产过程中显示出双金属的生长。通过TLC和FTIR分析将生物表面活性剂表征为表面活性素,一种脂肽。一次优化了一个工艺参数,显示出最高的乳化指数(%E(24))为54%。通过使用基于生物统计学的实验设计以及不同参数的交互作用,可以提高生物表面活性剂的产量。根据Placket-Burman设计,发现碳氢化合物,氯化铵,微量元素和温度四个因素对于生产生物表面活性剂具有重要意义(P <0.05)。中心复合材料设计中的二阶多项式回归模型根据乳化指数(%E(24))估算了最大的生物表面活性剂产量。对于烃,氯化铵,微量元素和温度,获得的用于生物表面活性剂生产的不同参数的最佳组合分别为81.41%,1.63(g / l),1.69(g / l)和35.25 A摄氏度。通过响应面方法优化和选择交互参数后,生物表面活性剂的产量增加了两倍。

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