统计学分析方法应用于乳酸乳球菌培养基的优化

J4 ›› 2010, Vol. 48 ›› Issue (02): 323-328.

统计学分析方法应用于乳酸乳球菌培养基的优化

王秀丽^1,2, 任晓冬², 陈萍萍³, 韩文瑜¹, 滕利荣²

1. 吉林大学畜牧兽医学院, 长春 130062|2. 吉林大学生命科学学院, 长春 130012;3. 延边大学医学院, 吉林延吉 133002

收稿日期:2009-03-17 出版日期:2010-03-26 发布日期:2010-03-22
通讯作者: 韩文瑜 E-mail:hanwy@jlu.edu.cn

Statistical Optimization of FermentationMedium for Nisin Production

WANG Xiuli^1,2, REN Xiaodong², CHEN Pingping³, HAN Wenyu¹, TENG Lirong²

1. College of Animal Science and Veterinary Medicine, Jilin University, Changchun 130062, China;2. College of Life Science, Jilin University, Changchun 130012, China;3. College of Medicine, Yanbian University, Yanji 133002, Jilin Province, China

Received:2009-03-17 Online:2010-03-26 Published:2010-03-22
Contact: HAN Wenyu E-mail:hanwy@jlu.edu.cn

摘要/Abstract

摘要：

应用PlackettBurman设计法对影响乳酸乳球菌发酵的培养基主要组分进行筛选, 确定了影响乳链菌肽效价的关键因素为酵母浸粉、葡萄糖和K₂HPO₄. 在此基础上, 采用响应面法(RSM)优化乳链菌肽发酵培养基. 结果表明, 当酵母浸粉质量浓度为22.35 g/L, 葡萄糖质量浓度为24.80 g/L, K₂HPO₄质量浓度为13.65 g/L时, 乳链菌肽产量最大, 此时, 乳链菌肽产率为2 157 IU/mL. 实验验证, 最佳条件下乳链
菌肽产率为2 115 IU/mL, 预测值与验证值吻合得较好.

关键词: PlackettBurman设计法；响应面法(RSM)；乳链菌肽

Abstract:

The PlackettBurman design was used to evaluate the effects of eight variables which could affect the nisin production. On the basis of analyzing the statistical regression, yeast extract, glucose and K₂HPO₄ were found to be the most important factors. Subsequently, response surface methodology was employed to determine the maximum nisin production at the optimum con
centration of key factors. The nisin production was found to correlate to the three parameters. The optimal values of the three parameters were determined as 2235 g/L yeast extract, 2480 g/L glucose and 1365 g/L K2HPO4. The nisin production was 2 157 IU/mL, and the actual experimental result was 2 115 IU/mL, which shows the results are reasonable.

Key words: PlackettBurman design, response surface analysis methodology (RSM), nisin

中图分类号:

Q949.9

王秀丽, 任晓冬, 陈萍萍, 韩文瑜, 滕利荣. 统计学分析方法应用于乳酸乳球菌培养基的优化[J]. J4, 2010, 48(02): 323-328.

WANG Xiu-Li, LIN Xiao-Dong, CHEN Ping-Ping, HAN Wen-Yu, TENG Li-Rong. Statistical Optimization of FermentationMedium for Nisin Production[J]. J4, 2010, 48(02): 323-328.