任初杰, 高 丽, 王承明, 吴谋成, 陈建峰. 碱提花生粕水溶性多糖工艺研究[J]. 农业工程学报, 2008, 24(7): 251-254.
    引用本文: 任初杰, 高 丽, 王承明, 吴谋成, 陈建峰. 碱提花生粕水溶性多糖工艺研究[J]. 农业工程学报, 2008, 24(7): 251-254.
    Ren Chujie, Gao Li, Wang Chengmin, Ren Chujie, Chen Jianfeng. Optimization of extracting technology of hydrosoluble polysaccharides from peanut meal by alkali[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2008, 24(7): 251-254.
    Citation: Ren Chujie, Gao Li, Wang Chengmin, Ren Chujie, Chen Jianfeng. Optimization of extracting technology of hydrosoluble polysaccharides from peanut meal by alkali[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2008, 24(7): 251-254.

    碱提花生粕水溶性多糖工艺研究

    Optimization of extracting technology of hydrosoluble polysaccharides from peanut meal by alkali

    • 摘要: 为开发提取花生粕多糖,该文通过五元二次旋转正交设计,研究了液料比、温度、碱浓度、时间和提取次数等工艺因素对碱提花生粕中多糖得率的影响,用SAS8.1中响应面分析程序RSREG分析得到了3个因素的回归方程。结果表明,所得方程达显著水平,拟合情况良好。通过对回归方程进行局部寻优分析,得到碱提花生多糖的最佳工艺条件为:液料比34︰1,提取温度88℃,碱浓度0.68 mol/L,时间2.4 h,提取次数1次,对应预测得率为9.78%,验证值为9.79%。

       

      Abstract: The quadratic orthogonal rotation design with five factors was used to study the effect of the ratio of material to fluid, temperature, alkali concentration, time and extracting times on the extracting rate of polysaccharides from peanut meal by alkali extraction. The regression equation for the five extracting factors was established by RSREG software in SAS8.1. Results show that the regression equation is significant, and the mathematical model for the simulation is presented. Through the local optimization analysis to the regression equation, it is found that the optimal extracting conditions are as follows: the ratio of fluid to material is 34︰1 (mL/g), alkali solution concentration is 0.68 mol/L, extracting temperature is 88℃, and extracting time is 2.4 h, the yield of polysaccharides is 9.79%

       

    /

    返回文章
    返回