首页> 外文期刊>Journal of Microbiology, Biotechnology and Food Sciences >STATISTICAL OPTIMIZATION OF MEDIUM COMPOSITION AND PROCESS VARIABLES FOR XYLITOL PRODUCTION FROM RICE STRAW HEMICELLULOSE HYDROLYSATE BY DEBARYOMYCES HANSENII VAR HANSENII
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STATISTICAL OPTIMIZATION OF MEDIUM COMPOSITION AND PROCESS VARIABLES FOR XYLITOL PRODUCTION FROM RICE STRAW HEMICELLULOSE HYDROLYSATE BY DEBARYOMYCES HANSENII VAR HANSENII

机译:用汉逊酵母菌对稻秸秆半纤维素水解产物生产木糖醇的培养基组成和工艺变量的统计优化

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Optimization of the culture medium and process variables in xylitol production was carried out using Debaryomyces hansenii var hansenii. The optimization of xylitol production using rice straw hemicelluloses hydrolysate as substrate was performed with statistical methodology based on experimental designs. The screening of nine nutrients for their influence on xylitol production was achieved using a Plackett-Burman design. MgSO4.7H2O, (NH4)2SO4, peptone and yeast extract were selected based on their positive influence on xylitol production. The selected components were optimized with Box-Behnken design using response surface methodology (RSM). The optimum level (g/L) is: MgSO4.7H2O – 1.28, (NH4)2SO4 – 4.30, peptone – 4.98 and yeast extract – 4.58. Then the influence of various process variables on the xylitol production was evaluated. The optimal levels of these variables were quantified by the central composite design using RSM, which permitted the establishment of a significant mathematical model with a co-efficient determination of R2= 0.92. The interactive effects of process variables were determined to be significant. The optimum level of process variables are: temperature (30 oC), substrate concentration (3.26 g/L), pH (7.28), agitation speed (170.4 rpm), inoculum size (3.36 ml). These conditions were validated experimentally which revealed an enhanced xylitol yield of 0.72 g/g.
机译:木糖醇生产中的培养基和工艺变量的优化是使用汉逊德巴利酵母变种汉森氏菌进行的。以稻草半纤维素水解产物为底物,采用统计学方法,基于实验设计,对木糖醇生产进行了优化。使用Plackett-Burman设计筛选了九种营养素对木糖醇生产的影响。选择MgSO4.7H2O,(NH4)2SO4,蛋白ept和酵母提取物是基于它们对木糖醇生产的积极影响。使用Box-Behnken设计使用响应面方法(RSM)对选定的组件进行了优化。最佳水平(g / L)为:MgSO4.7H2O – 1.28,(NH4)2SO4 – 4.30,蛋白– – 4.98和酵母提取物– 4.58。然后评估了各种工艺变量对木糖醇生产的影响。这些变量的最佳水平通过使用RSM的中央复合设计进行了量化,从而可以建立系数为R2 = 0.92的有效数学模型。过程变量的交互作用被确定为显着。过程变量的最佳水平是:温度(30 oC),底物浓度(3.26 g / L),pH(7.28),搅拌速度(170.4 rpm),接种量(3.36 ml)。通过实验验证了这些条件,发现木糖醇产量提高了0.72 g / g。

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