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作 者:张惠惠[1] 刘元涛[1] 庞萌萌[1] 尹雷[1] 代龙[1] 刘国飞 ZHANG Hui-hui LIU Yuan-tao PANG Meng-meng YIN Lei DAI Long LIU Guo-fei(College of Pharmacy, Shandong University of Traditional Chinese Medicine, Ji'nan 250355 Anhui Biological Peptide Industry Research Institute Co., Ltd., Wuhu Anhui 241000)
机构地区:[1]山东中医药大学药学院,济南250355 [2]安徽生物肽产业研究院有限公司,安徽芜湖241000
出 处:《中南药学》2016年第10期1054-1057,共4页Central South Pharmacy
摘 要:目的利用响应面分析法对灰树花液体发酵条件进行优化。方法以土豆用量、葡萄糖浓度、麸皮用量作为响应因子,灰树花发酵液中菌丝生物量作为响应值,采用3因素3水平的Box-Behnken中心组合设计进行响应面法分析。结果灰树花液体发酵液中菌丝生物量达到最大值时的最佳培养条件为:土豆用量为31.26 g/100 m L,葡萄糖浓度为0.5 g/100 m L,麸皮用量为5.35 g/100 m L,菌丝生物量预测最大值为20.11 mg·m L^(-1)。结论在响应面法优化的最佳培养条件下,灰树花发酵液中菌丝生物量能达到最大值。Objective To optimize the submerged fermentation medium of Grifola frondosa for mycelium biomass with surface method. Methods Three-factor Box-Behnken design was used to determine the effects of the 3 independent variables(amount of potato, concentration of glucose and wheat bran extract concentration on the yield of mycelium biomass). Results The model predicted to gain a maximal mycelium biomass production at 20.11 mg·m L^(-1), when the potato was 31.26 g/100 m L, the glucose was 0.5 g/100 m L, and the bran was 5.35 g/100 m L. Conclusion The mycelium biomass of Grifola frondosa can reach the maximum value with the optimized medium with response surface method.
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