响应面优化超声波提取桑叶槲皮素工艺

为优化超声波辅助提取桑叶槲皮素工艺,以桑叶槲皮素提取量为指标,通过单因素试验,探讨液料比、乙醇体积分数、超声时间、超声功率及超声温度等对槲皮素提取量的影响,利用响应面法对影响槲皮素提取量的4个主要因素进行优化,分别为乙醇体积分数、液料比、超声功率、超声温度。结果表明,最佳提取工艺条件为乙醇体积分数51%、液料比26∶1(m L/g)、超声功率200 W、超声温度70℃,在此条件下,做3次平行实验进行验证,桑叶槲皮素提取量为11.13 mg/g,与模型预测值11.31 mg/g基本相符。模型可较好地预测桑叶槲皮素的提取量,响应面法对桑叶槲皮素提取条件参数优化具有可行性。

Optimization of Ultrasound-Assisted Extraction of Quercetin from Mulberry Leaves by Response Surface Methodology

The ultrasound-assisted extraction of quercetin from mulberry leaves was optimized using response surface
methodology. The yield of quercetin was investigated with response to four main variables, i.e., liquid/solid ratio, ethanol
concentration, extraction time, ultrasonic power, and extraction temperature. Three parallel experiments carried out under the
optimal extraction conditions (51% ethanol as the extraction solvent with a liquid/solid ratio of 26:1 (mL/g), ultrasonication
with an output power of 200 W, and an extraction temperature of 70 ℃) resulted in an extraction yield of 11.13 mg/g,
agreeing with the predicted value (11.31 mg/g). The proposed prediction model could accurately predict the extraction yield
of quercetin, suggesting that it is plausible to optimize the extraction conditions of quercetin from mulberry leaves using
response surface methodology.