摘要
目的:探索以豆粕大规模培养干酪乳杆菌试生产菌株T1发酵技术,通过响应面法优化干酪乳杆菌T1的发酵条件。方法:单因素试验及响应面方法研究p H值、培养温度、接种量等因素对干酪乳杆菌T1发酵的影响,确定最佳发酵工艺参数。此外,利用豆粕代替蛋白胨发酵干酪乳杆菌,试制成本更低的工业发酵培养基。结果:响应面优化回归方程为Y=0.9-0.041X_10.6X_2+0.015X_3-0.015X_1X_2-0.021X_1X_3+0.034X_2X_3+0.011X_(12)-0.15X_(22)-0.019X_(32)。在养温度为27℃,培养基初始pH为6,接种量为8.09%条件下,得到最大生物量的响应值。优化后活菌数显著提高,为3.23×108/mL,较优化前增加1个数量级。结论:干酪乳杆菌试生产菌株T1对豆粕培养基适应性好,通过响应面法优化发酵条件,能显著提高干酪乳杆菌T1生物量,且为设计和改进大规模生产条件提供基础。
Objective Explore to soybean meal large-scale cultivation of Lactobacillus casei strain T1 fermentation technology,optimization of fermentation conditions of Lactobacillus casei T1 by the response surface method. Methods Single factor tests and response surface method was used to optimize culturing conditions: p H,culture temperature, inoculum size.And determine the best fermentation parameters. In addition, soybean meal was used instead of peptone to fermentation Lactobacillus casei, trial-produce lower manufacture cost of industrial fermentation medium. Results Response surface analysis equation is Y=0.9-0.041X10.6X2+0.015X3-0.015X1X2-0.021X1X3+0.034X2X3+0.011X1^2-0.15X2^2-0.019X3^2.the response to the largest biomass values at a temperature of 27℃, initial pH of 6,inoculum size of 8.09%.After optimization the living bacterium has significantly higher number: 3.23 ×10^8/m L,add one order of magnitude before optimization. Conclusion Cultivated strains T1 of Lactobacillus casei has good adaptability of soybean meal culture medium.Optimize the fermentation conditions by the response surface method can significantly improve the Lactobacillus casei strain T1 biomass production, and provide the basis for the design and improve the mass production conditions
出处
《草业与畜牧》
2015年第6期15-19,共5页
Pruataculture & Animal Husbandry
基金
四川省科技支撑计划(2013GZX0161)
教育部新世纪人才和川大优秀青年学者项目(NCET-13-0397
2013SCU04B14)
2013年四川省农业科技转化资金和科技成果转化项目(2015KJT0001-2014N)资助
关键词
干酪乳杆菌
豆粕
优化
响应面法
Lactobacillus casei
Soybean meal
Optimization
Response surface methodology