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粘性嗜热链球菌ST-1产胞外多糖发酵条件优化
引用本文:齐沙沙,陈卫,艾连中,吴正钧,王荫榆,郭本恒. 粘性嗜热链球菌ST-1产胞外多糖发酵条件优化[J]. 工业微生物, 2011, 41(6): 20-25. DOI: 10.3969/j.issn.1001-6678.2011.06.005
作者姓名:齐沙沙  陈卫  艾连中  吴正钧  王荫榆  郭本恒
作者单位:1. 江南大学食品学院食品科学与技术国家重点实验室,江苏无锡,214122
2. 光明乳业股份有限公司技术中心乳业生物技术国家重点实验室,上海,200436
3. 江南大学食品学院食品科学与技术国家重点实验室,江苏无锡,214122;光明乳业股份有限公司技术中心乳业生物技术国家重点实验室,上海,200436
基金项目:益生菌功能性乳制品生产技术集成及产业化示范,国家农业科技成果转化资金项目
摘    要:应用响应面法对一株粘性嗜热链球菌ST-1的产胞外多糖的发酵条件进行了优化.根据单因素的实验结果,选取接种量,发酵温度,发酵时间作为考察因素,以胞外多糖的产量作为响应值,利用Box-Behnken实验设计方法,建立了胞外多糖产量与三个考察因素之间的回归方程并得到最佳发酵条件为:接种量5%,发酵时间14 h,发酵温度42℃...

关 键 词:嗜热链球菌  胞外多糖  响应面分析

Optimization of fermentation conditions for exopolysaccharide production by ropy Streptococcus thermophilus ST-1
Qi Sha-sha,Chen Wei,Ai Lian-zhong,Wu Zheng-jun,Wang Yin-yu,Guo Ben-heng. Optimization of fermentation conditions for exopolysaccharide production by ropy Streptococcus thermophilus ST-1[J]. Industrial Microbiology, 2011, 41(6): 20-25. DOI: 10.3969/j.issn.1001-6678.2011.06.005
Authors:Qi Sha-sha  Chen Wei  Ai Lian-zhong  Wu Zheng-jun  Wang Yin-yu  Guo Ben-heng
Affiliation:1. State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Jiangnan University, Wuxi 214122,China, 2. State Key Laboratory of Dairy Biotechnology, Technology Center of Bright Dairy and Food Co. Ltd., Shanghai 200436, China)
Abstract:The optimization of fermentation conditions for ropy Streptococcus thermophilus ST-1 were investigated by response surface methodology in order to improve the yield of exopolysaccharide. The inoculum size, fermentation time and fermentation temperature were chosen as factors, and the yield of exopolysaccharide as response value based on onefactor test. The regression equation of EPS yield was established with three study factors using Box-Behnken methods. And the optimum fermentation conditions were obtained as the following: inoculum size 5 %, fermentation time 14 h and fermentation temperature 42 ℃. Validation experiment suggested that the yield of EPS could reached 346.51 mg/L ± 1.05 mg/L, similar to the forecast of regression equation.
Keywords:Streptococcus thermophilus  exopolysaccharide  response surface methodology
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