Department of Food Technology, Kongu Engineering College, Perundurai, Erode 638052, Tamil Nadu, India.
Department of Food Technology, Kongu Engineering College, Perundurai, Erode 638052, Tamil Nadu, India.
Carbohydr Polym. 2014 Dec 19;114:43-47. doi: 10.1016/j.carbpol.2014.07.067. Epub 2014 Aug 10.
The main objective of the present study is to investigate and optimize the Submerged fermentation (SMF) process parameters such as addition of coconut water, NaCl dose, incubation time and temperature on the production of extracellular polysaccharide (EPS) and biomass production using Lactobacillus confuses. Response surface methodology (RSM) coupled with four factors three level Box-Behnken design (BBD) was employed to model the SMF process. RSM analysis indicated good correspondence between experimental and predicted values. Three dimentional (3D) response surface plots were used to study the interactive effects of process variables on SMF process. The optimum process conditions for the maximum production of EPS and biomass were found to be as follows; addition of coconut water of 40%, NaCl dose of 15%, incubation time of 24h and temperature of 35°C. Under these conditions, 10.57 g/L of EPS and 3.9 g/L of biomass were produced.
本研究的主要目的是利用混乱乳杆菌(Lactobacillus confuses),通过响应面法(RSM)结合四因素三水平 Box-Behnken 设计(BBD),研究添加椰子水、NaCl 剂量、培养时间和温度等浸没发酵(SMF)工艺参数对胞外多糖(EPS)和生物量生产的影响,优化 SMF 工艺。RSM 分析表明实验值与预测值吻合较好。通过三维(3D)响应面图研究了工艺变量对 SMF 工艺的相互影响。结果表明,最佳的 EPS 和生物量生产条件为:添加 40%的椰子水、15%的 NaCl 剂量、24 小时的培养时间和 35°C的温度。在此条件下,EPS 和生物量的产量分别为 10.57g/L 和 3.9g/L。