基于响应面的红曲色素液态发酵培养基优化

Optimization of Liquid Fermentation Medium for Monascus Pigments Based on Response Surface Method

该研究以6种红曲经典色素及生物量为指标,对红曲霉M-7发酵培养基进行了优化。首先采用Plackett-Burman实验从2种碳源、5种氮源中筛选对各个目标变量具有显著影响的培养基组分,再通过最陡爬坡实验确定中心水平并进行中心组合实验优化培养基配方。最后通过Minitab响应面优化器,以主要6种色素含量为指标进行优化,采用Minitab进行多值优化,获得红曲色素综合产量最高的培养基配方为:葡萄糖35 g/L,淀粉16 g/L,尿素0.8 g/L,氯化铵1.6 g/L,硝酸钠1 g/L,硫酸铵1 g/L,硝酸铵1 g/L,磷酸二氢钾4 g/L,硫酸镁0.5 g/L,硫酸锰0.03 g/L,硫酸锌0.01 g/L,硫酸铁0.01 g/L。最终6种色素总产量达到949.04 mg/L,较初始培养基红曲色素总产量提高了31%。

In this study,6 types of classic Monascus pigments and biomass are used as the indicators to optimize the fermentation medium of Monascus M-7.Firstly,Plackett-Burman experiment is used to select the medium components with significant influence on each target variable from 2 carbon sources and 5 nitrogen sources.And then,the central level is determined by the steepest climbing experiment and the central combination experiment is performed to optimize the medium formula.Finally,Minitab response surface optimizer is used to optimize the content of 6 main pigments as the indicators,and Minitab is used for multi-value optimization.The medium formula with the highest comprehensive yield of Monascus pigment is obtained as follows:glucose is 35 g/L,starch is 16 g/L,urea is 0.8 g/L,ammonium chloride is 1.6 g/L,sodium nitrate is 1 g/L,ammonium sulfate is 1 g/L,ammonium nitrate is 1 g/L,potassium dihydrogen phosphate is 4 g/L,magnesium sulfate is 0.5 g/L,manganese sulfate is 0.03 g/L,zinc sulfate is 0.01 g/L,ferric sulfate is 0.01 g/L.The total yield of 6 pigments reaches 949.04 mg/L,which is 31%higher than that of Monascus pigment in the initial medium.