首页> 外文期刊>International Journal of Medicinal Mushrooms >Enhanced Mycelial Biomass Production of the Hairy Bracket Mushroom, Trametes hirsuta (Higher Basidiomycetes), by Optimizing Medium Component with Plackett-Burman Design and Response Surface Methodology
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Enhanced Mycelial Biomass Production of the Hairy Bracket Mushroom, Trametes hirsuta (Higher Basidiomycetes), by Optimizing Medium Component with Plackett-Burman Design and Response Surface Methodology

机译:通过使用Plackett-Burman设计和响应面方法优化培养基成分,增强了毛状支架蘑菇Trametes hirsuta(高级担子菌)的菌丝体生物量生产

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摘要

Statistical analyses based on experimental designs were applied to optimize the medium components for mycelial biomass production by Trametes hirsuta in shake flask cultivation. First, the effects of different carbon resources (glucose, sucrose, lactose, maltose, fructose, soluble starch and potato), nitrogen resources (yeast extract, peptone, (NH_4)_2SO_4, NH_4NO_3, NH_4C1, peanut powder, soybean powder) and mineral elements (CaCl_2, ZnSO_4.7H_2O, FeS_O4.7H_2O, MnSO_4 H_2O, CuSO_4 7H_2O) on mycelialbiomass production were investigated using a univariate design. Second, a Plackett-Burman design was applied to identify the significant variables that principally influenced the mycelial biomass production, and the path of steepest ascent was pursued to approach the regions of optimal value of the significant variables. Subsequently, these significant variables were optimized using the Box-Behnken design of response surface methodology. Ultimately, the optimized medium conditions were composed of sucrose 25.65 g L~((-1)), MgSO_4-7H_2O 1.24 g L~((-1), and FeSO_4 7H_2O 3.36 g L~((-1), and the yield of mycelial biomass reached 15.45 g L~((-1), which represents an approximately 1.6-fold increase above the initial yield.
机译:应用基于实验设计的统计分析来优化摇瓶培养中Trametes hirsuta生产菌丝体生物质的培养基成分。首先,不同碳源(葡萄糖,蔗糖,乳糖,麦芽糖,果糖,可溶性淀粉和马铃薯),氮源(酵母提取物,蛋白ept,(NH_4)_2SO_4,NH_4NO_3,NH_4C1,花生粉,大豆粉)的影响使用单变量设计研究了菌丝生物量生产中的元素(CaCl_2,ZnSO_4.7H_2O,FeS_O4.7H_2O,MnSO_4 H_2O,CuSO_4 7H_2O)。其次,采用Plackett-Burman设计来识别主要影响菌丝体生物量产生的重要变量,并采用最陡峭上升的路径来接近这些重要变量的最佳值区域。随后,使用响应面方法的Box-Behnken设计对这些重要变量进行了优化。最终,最佳培养基条件为蔗糖25.65 g L〜((-1)),MgSO_4-7H_2O 1.24 g L〜((-1),FeSO_4 7H_2O 3.36 g L〜((-1)),菌丝的生物量达到15.45 g L〜((-1),比初始产量高约1.6倍。

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