Zhang Xiaoqian, Chen Jiye, Mao Meixin, Guo Huaizhong, Dai Yaru
College of Pharmacy, Hebei University, Baoding 071002, PR China.
College of Pharmacy, Hebei University, Baoding 071002, PR China; Key Laboratory of Pharmaceutical Quality Control of Hebei Province, Baoding 071002, Hebei, PR China.
Int J Biol Macromol. 2014 Jun;67:318-22. doi: 10.1016/j.ijbiomac.2014.03.039. Epub 2014 Mar 29.
The central composite design (CCD) was applied to optimize the water extraction of the polysaccharide from Adenophorae Radix in the paper. The three variables of extraction temperature (X1), extraction time (X2) and ratio of water to raw material (X3) were investigated by single factor analysis first. Since the presence of active polysaccharides and the imperfect of its extraction, the purpose of the paper was to evaluate the effects of selected variables on the yield of polysaccharide, which was expected to obtain the maximum yield. By variance and regression analysis, the quadratic regression equation was established as a predicted model. The R(2) of 0.9825 indicated that the equation was well-fitted. The optimal conditions were 72.5°C, 133min, 1:35 (g/mL) and the predicted maximum yield of the polysaccharide was 5.78%. The predicted value was verified in triplicates under the optimum conditions, which was 5.68% and well matched with the predictive yield.
本文采用中心复合设计(CCD)对南沙参多糖的水提取工艺进行优化。首先通过单因素分析考察了提取温度(X1)、提取时间(X2)和料液比(X3)这三个变量。鉴于活性多糖的存在及其提取工艺的不完善,本文旨在评估所选变量对多糖得率的影响,以期获得最高得率。通过方差分析和回归分析,建立了二次回归方程作为预测模型。R²为0.9825表明该方程拟合良好。最佳条件为72.5℃、133分钟、1:35(g/mL),预测的多糖最大得率为5.78%。在最佳条件下进行了三次重复验证,得率为5.68%,与预测得率吻合良好。