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响应面法优化阿维链霉菌生产多拉菌素的培养基(英文) 被引量:5

Optimization of medium composition for the production of doramectin by Streptomyces avermitilis with response surface methodology
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摘要 运用统计试验设计和分析方法优化阿维链霉菌XJ-8-115产多拉菌素的最佳发酵培养基。利用Plackett-Burman设计法(PBD)评价了8种原料组分对多拉菌素生产的影响,再采用最陡爬坡法确定培养基组成的最佳区域,最后以3因素5水平的中心组合设计(CCD)为基础,利用响应面法(RSM)获得多拉菌素最大发酵产量的培养基最佳配比。结果表明:8种原料组分中,干酵母粉、MgSO4和NH4Cl对结果有极显著影响。响应面试验得到到最佳培养基为:75g玉米淀粉,18g干酵母粉,1.35gKCl,0.16gMgSO4,1.8gK2HPO4·3H2O,0.012gFeSO4·7H2O,0.045gNa2Mo4·2H2O,0.09gNH4Cl,0.005gCoCl2·6H2O和2gCaCO3。通过该培养基发酵获得的最大多拉菌素产量为103.54g/mL,与原培养基相比,产量提高了1.80倍,为36.93g/mL,与RSM预测值差异仅为2.22%。 The optimal fermentation medium for doramectin production by Streptomyces avermitilis XJ-8-115,was studied using statistical experimental design and analysis.The Plackett-Burman design(PBD)was used to evaluate the effects of eight medium components on the production of doramectin,and the steepest ascent path was adopted to determine the optimal region of the medium composition,and the optimum composition of the fermentation medium for maximum doramectin yield on the basis of a five-level three-factor central composite design(CCD).The results showed that:PBD test showed that dry yeast,MgSO4 and NH4Cl were the most significant ingredients.The optimum medium was obtained by response surface methodology(RSM),namely 75g corn starch,18g dry yeast,1.35g KCl,0.16g MgSO4,1.8g K2HPO4·3H2O,0.012g FeSO4·7H2O,0.045g Na2Mo4·2H2O,0.09g NH4Cl,0.005g CoCl2·6H2O and 2g CaCO3.A maximum doramectin yield of 103.54mg/mL was obtained and the production increased 1.80 times compared with that using the original medium(36.93mg/mL),with only 2.22%differences compared with the forecast by RSM.
作者 杨世红 韩伟 张晓琳 Yang Shi-hong;Han Wei;Zhang Xiao-lin(Academy of State Administration of Grain,Beijing 100037;Wuhan Polytechnic University,Wuhan 430023)
出处 《中国抗生素杂志》 CAS CSCD 2019年第9期1041-1047,共7页 Chinese Journal of Antibiotics
基金 国家高技术研究发展计划(863计划)(No.2006AA10A208-1)
关键词 响应面法 阿维链霉菌 多拉菌素 发酵 培养基优化 Response surface methodology Streptomyces avermitilis Doramectin Fermentation Medium optimization
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