...
首页> 外文期刊>African Journal of Microbiology Research >Screening, identification and statistic optimization of a novel exopolysaccharide producing Lactobacillus paracasei HCT
【24h】

Screening, identification and statistic optimization of a novel exopolysaccharide producing Lactobacillus paracasei HCT

机译:新型产干酪乳杆菌HCT胞外多糖的筛选,鉴定和统计优化

获取原文
           

摘要

The exopolysaccharides (EPS) producing ability was evaluated by phenol-sulphuric acid method and the?Lactobacillus?HCT was the highest yield EPS-producing strain, which was isolated from feces of Bama centenarian in Guangxi of China. It was identified as?Lactobacillus paracasei?HCT with carbohydrate assimilation profiling and 16S rRNA gene sequencing.?L. paracasei?HCT was found to be a novel EPS producing strain. Preliminary one factor tests were employed to obtain the favorable conditions for EPS yield and microorganism growth in a chemically defined medium and found that carbon nitrogen ratio (C/N ratio), cultivation time and temperature had the most significant influences. Box–Behnken experimental design and response surface methodology (RSM) were adopted to further study the interactive effects of these three variables on EPS yield and cells growth. The optimal culture conditions for EPS production were: C/N ratio 9.090, cultivation time 60.67 h and temperature 29.2°C. In these conditions, the maximum EPS yield was 39.0736 mg/ml which was 4 times more than the original yield. But the optimal conditions for cell growth were: C/N ratio 8.643, 58.75 h and 31.9°C, logarithm value of viable cell count reached 7.921. These predicted values were also verified by validation experiments.
机译:用苯酚-硫酸法评价胞外多糖的生产能力,乳酸杆菌HCT是从中国广西巴马百岁老人的粪便中分离得到的产量最高的菌株。经碳水化合物同化分析和16S rRNA基因测序鉴定为副干酪乳杆菌HCT。发现副干酪样HCT是一种新型的EPS产生菌株。初步的单因素试验被用来获得EPS产量和微生物在化学成分确定的培养基中生长的有利条件,并且发现碳氮比(C / N比),培养时间和温度对影响最为显着。采用Box–Behnken实验设计和响应面方法(RSM)进一步研究了这三个变量对EPS产量和细胞生长的相互作用。 EPS的最佳培养条件为:C / N比为9.090,培养时间为60.67 h,温度为29.2°C。在这些条件下,最大EPS产量为39.0736 mg / ml,是原始产量的4倍。但细胞生长的最佳条件为:C / N比8.643、58.75h和31.9℃,活细胞计数的对数值达到7.921。这些预测值也通过验证实验进行了验证。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号