School of Chemical Engineering and Technology, Tianjin University, Tianjin, PR China; School of Chemistry & Chemical Engineering, Tianjin University of Technology, Tianjin, PR China.
School of Chemical Engineering and Technology, Tianjin University, Tianjin, PR China.
Carbohydr Polym. 2014 Sep 22;110:278-84. doi: 10.1016/j.carbpol.2014.03.040. Epub 2014 Mar 28.
In this study, an efficient ultrasound-assisted enzymatic extraction procedure for the water-soluble polysaccharides from the fruit of Lycium barbarum was investigated and optimized. Response surface methodology (RSM) based on a three-level four-factor Box Behnken Design (BBD) was employed to optimize the extraction conditions inlcluding extraction time, ultrasonic output power, cellulose concentration and extraction temperature. The experimental data were adequately fitted into a second-order polynomial model. The optimized conditions were as follows: extraction time 20.29 min, ultrasonic output power 78.6 W, cellulose concentration 2.15%, extraction temperature 55.79°C. Under these conditions, the experimental yield of polysaccharides was 6.31±0.03%, which matched with the predictive yield of 6.32% well.
在这项研究中，研究了一种从枸杞果实中提取水溶性多糖的高效超声辅助酶提取方法，并对其进行了优化。基于三水平四因素 Box-Behnken 设计（BBD）的响应面法（RSM）用于优化提取条件，包括提取时间、超声输出功率、纤维素浓度和提取温度。实验数据很好地拟合了一个二阶多项式模型。优化条件如下：提取时间 20.29 分钟，超声输出功率 78.6 W，纤维素浓度 2.15%，提取温度 55.79°C。在这些条件下，多糖的实验产率为 6.31±0.03%，与预测产率 6.32%吻合较好。
