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采用星点设计-效应面法优化暴马丁香枝条中紫丁香苷的超声提取工艺。以乙醇体积分数、超声提取时间、溶媒比为自变量,紫丁香苷提取率为因变量,通过对自变量各水平的多元线性回归及二项式拟合,用岭嵴分析和效应面法优化出最佳的提取工艺,并进行预测分析。确定紫丁香苷最佳提取工艺为:体积分数为54.64%乙醇17.05倍量,超声提取3次,每次提取85.23 min,超声功率为80 W,温度为30℃。最佳工艺验证结果与模型预测值相差1.26%,二项式拟合的相关系数为0.9047,说明二次多项式模型可以较好地描述紫丁香苷提取率与各影响因素之间的关系,可信度大。星点设计-效应面法优化的暴马丁香枝条中紫丁香苷的提取工艺,方法简便,精密度高,质量稳定。因此,该方法可以在实际生产中予以推广使用。
Optimization of ultrasonic extraction of syringin from stamen branch of Malvaceae by using apices design - effect surface method. Ethanol volume fraction, ultrasonic extraction time and solvent ratio were used as independent variables, and the yield of syringin was taken as the dependent variable. The multivariate linear regression and binomial fitting of each level of the independent variables were used to optimize the ridge analysis and response surface methodology The best extraction process, and forecast analysis. The optimal extraction process of syringin was as follows: volume fraction of 54.64% ethanol 17.05 times, ultrasonic extraction three times, extraction time of 85.23 min, ultrasonic power of 80 W, temperature of 30 ℃. The results of the best process and the model predictive value of 1.26% difference, binomial fitting correlation coefficient of 0.9047, indicating quadratic polynomial model can better describe the syringin yield and the relationship between the various influencing factors, credible Degree Star point design - response surface optimization method of Buxus lupinus syringin extraction process, the method is simple, high precision, quality and stability. Therefore, this method can be used in actual production.