Ramesh S, Muthuvelayudham R, Rajesh Kannan R, Viruthagiri T
Department of Chemical Engineering, Annamalai University, Annamalainagar 608002, Tamil Nadu, India.
Int J Food Sci. 2013;2013:514676. doi: 10.1155/2013/514676. Epub 2013 Jun 19.
Optimization of the culture medium and process variables for xylitol production using corncob hemicellulose hydrolysate by Pachysolen tannophilus (MTTC 1077) 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. Peptone, xylose, MgSO4·7H2O, 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 levels (g/L) were peptone: 6.03, xylose: 10.62, MgSO4·7H2O: 1.39, yeast extract: 4.66. 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, for establishment of a significant mathematical model with a coefficient determination of R (2) = 0.91. The validation experimental was consistent with the prediction model. The optimum levels of process variables were temperature (36.56°C), pH (7.27), substrate concentration (3.55 g/L), inoculum size (3.69 mL), and agitation speed (194.44 rpm). These conditions were validated experimentally which revealed an enhanced xylitol yield of 0.80 g/g.
采用基于实验设计的统计方法,对嗜鞣管囊酵母(MTTC 1077)利用玉米芯半纤维素水解物生产木糖醇的培养基和工艺变量进行了优化。使用Plackett-Burman设计筛选了九种营养物质对木糖醇生产的影响。基于蛋白胨、木糖、MgSO₄·7H₂O和酵母提取物对木糖醇生产的积极影响对其进行了选择。使用响应面法(RSM)通过Box-Behnken设计对所选成分进行了优化。最佳水平(g/L)为:蛋白胨6.03、木糖10.62、MgSO₄·7H₂O 1.39、酵母提取物4.66。评估了各种工艺变量对木糖醇生产的影响。使用RSM通过中心复合设计对这些变量的最佳水平进行了量化,以建立系数测定R² = 0.91的显著数学模型。验证实验与预测模型一致。工艺变量的最佳水平为温度(36.56°C)、pH(7.27)、底物浓度(3.55 g/L)、接种量(3.69 mL)和搅拌速度(194.44 rpm)。对这些条件进行了实验验证,结果表明木糖醇产量提高到了0.80 g/g。