水酶法提取豆渣中水溶性多糖的工艺优化

Optimization of ultrasonic-assisted extraction process forwater-soluble soybean polysaccharides from soybean residues

以水酶法提油后的副产物豆渣为原料,对超声辅助热提水溶性大豆多糖的工艺进行优化。在单因素试验的基础上,选择超声功率、超声时间、液固比、六偏磷酸钠质量浓度、提取温度为自变量,水溶性大豆多糖提取率为响应值,利用中心旋转组合试验和响应面分析法,研究各变量对水溶性大豆多糖提取率的影响。结果模拟得到二次多项式回归方程的预测模型,并确定超声提取水溶性大豆多糖的条件为超声功率150 W、提取温度88℃、超声时间17 min、液固比28∶1、六偏磷酸钠溶液质量浓度2g/100mL,在此条件下,水溶性大豆多糖提取率的预测值为12.06%,验证实验所得水溶性大豆多糖的提取率为11.52%。优化的工艺条件操作简单、易行、提取率高,适宜在实践中应用。

This study aimed at optimizing the ultrasonic-assisted hot water extraction conditions of watersoluble soybean polysaccharides(SSPS)from soybean residues left after the aqueous enzymatic extraction of soybean oil.On the basis of one-factor-at-a-time experiments,response surface methodology and central composite rotary design(CCRD)was employed to SSPS extraction yield with respect to ultrasonic power,ultrasonic treatment time,material-to-liquid ratio,extraction temperature and hexametaphosphate concentration,and a quadratic polynomial regression model was established.The optimal conditions for SSPS extraction were ultrasonic power of 150 W,extraction temperature of 88℃,ultrasonic treatment time of 17 min,material-to-liquid ratio of 1∶28,and hexametaphosphate concentration of 2 g/100mL.Under the optimal extraction conditions,the predicted and experimental extraction rates of SSPS were 12.06%and 11.52%,respectively.