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首页> 外文会议>International Conference on Applied Mechanics and Mechanical Engineering >Enhanced Production of Mycelia by the Medicinal Mushroom Cordyceps militaris Using Plackett-Burman Design and Response Surface Methodology
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Enhanced Production of Mycelia by the Medicinal Mushroom Cordyceps militaris Using Plackett-Burman Design and Response Surface Methodology

机译：通过使用Plackett-Burman设计和响应表面方法的药用蘑菇冬虫夏草生产菌丝体的生产

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摘要

Response surface methodology (RSM) was used for statistical optimization of fermentation medium that influenced the yield of endo-polysaccharide from cultivated mycelia of Cordyceps militaris. First, the Plackett-Burman design was used to evaluate the effects of ten variables including glucose, maltose, peptone, yeast extract, KH_2PO_4~(3-), MgSO_4, CaCl_2, VB1, inoculum density and medium capacity. Among these variables, glucose, peptone and yeast extract were identified to have the significant effects. Subsequently, response surface methodology based on a five-level three-factor central composite design was employed to determine the maximum dry weight (DW) of mycelial biomass at optimum concentration of glucose, peptone and yeast extract. The mycelia growth was found to correlate to the three parameters that could be represented by second-order polynomial models. The optimal values of the three parameters were determined as 4.62% glucose, 3.36% peptone and 0.43% yeast extract. The prediction DW was 23.727g/L. The actual experimental results were in agreement with the prediction.
机译：响应面分析法（RSM）用于发酵培养基的统计优化，从蛹虫草培养菌丝体的影响内切多糖的产率。第一，使用的Plackett-Burman设计来评估10个变量，包括葡萄糖，麦芽糖，蛋白胨，酵母提取物，KH_2PO_4〜（3-），MgSO_4，CaCl_2，VB1，接种密度和介质容量的影响。在这些变量中，鉴定出葡萄糖，蛋白胨和酵母提取物具有显着的影响。随后，采用基于五级三因素中央复合设计的响应面方法来确定葡萄糖，蛋白胨和酵母提取物的最佳浓度下菌丝体生物质的最大干重（DW）。发现菌丝体的增长与二阶多项式模型可以代表的三个参数相关。三个参数的最佳值确定为4.62％葡萄糖，3.36％蛋白胨和0.43％酵母提取物。预测DW为23.727g /升。实际的实验结果与预测一致。

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