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目的:利用响应面法优化桑黄人工栽培条件,确定最佳桑黄规模化人工栽培方法。方法:以桑黄醇提物中主要成分Hypholomine B为指标,利用响应面法优化桑黄规模化人工栽培条件,分别考察栽培温度、栽培湿度、基材种类及光照时间对桑黄中Hypholomine B含量的影响。通过单变量多因素方差分析,选定3个对桑黄中Hypholomine B含量影响最大的因素,进行BBD(Box-Behnken Design)响应面优化,从而确定它们的最优组合。结果:栽培温度、栽培湿度、基材种类对桑黄栽培质量的影响最为显著,其影响顺序依次为:栽培温度>栽培湿度>基材种类;响应面分析得到的桑黄栽培最佳条件为:栽培温度35℃、栽培湿度95%、基材为小麦,在此栽培条件下桑黄中Hypholomine B的平均含量为1.046%。结论:响应面法能够用于桑黄人工栽培条件的优化,为药用资源的栽培条件优选提供实验方法。
OBJECTIVE: To optimize the artificial cultivation conditions of Phellinus igniarius by response surface methodology and to determine the optimal artificial cultivation methods for Phellinus igniarius. Methods: Hypholomine B was used as an indicator to optimize the scale cultivation conditions of Phellinus igniarius by response surface methodology. The effects of cultivation temperature, cultivation humidity, substrate type and light time on the content of Hypholomine B Impact. By univariate multivariate analysis of variance, three factors affecting the content of Hypholomine B in Phellinus igniarius were selected and optimized by BBD (Box-Behnken Design) response surface. Results: The effects of cultivation temperature, planting humidity and substrate types on the quality of Phellinus igniarius were the most significant. The order of influence was: cultivation temperature> cultivation humidity> substrate type. The optimum conditions of Phellinus linteus cultivation by response surface analysis were as follows: The cultivation temperature was 35 ℃, the cultivation humidity was 95%, the substrate was wheat, the average content of Hypholomine B in Phellinus linteus was 1.046%. Conclusion: Response surface methodology can be used to optimize artificial cultivation conditions of Phellinus igniarius, and provide experimental methods for optimal cultivation of medicinal resources.