响应面法优化杨梅渣中槲皮素提取工艺的研究

Optimization of quercetin extraction technology from Red bayberry(Myrica rubra Sieb.et Zucc) pomace using response surface methodology

采用超声辅助提取的方法,通过单因素结合响应面分析,对杨梅渣活性成分槲皮素的提取工艺进行了优化。在单因素实验的基础上,根据中心组合(Box-Benhnken)实验设计原理,采用三因素三水平的响应面分析法,以槲皮素提取率为响应值进行回归分析。结果表明,杨梅渣中槲皮素的最佳提取工艺为:提取时间33.5min,超声功率为254.6W,乙醇浓度为62.32%,料液比1∶20,槲皮素提取率为3.82mg/100g,与模型预测值基本相符。

Extraction technology of quercetin from Red bayberry （Myrica rubra Sieb.et Zucc） pomace was investigated. Single factor experiments were first performed using ultrasonic-assisted extraction （UAE）,then Box-Benhnken design （3 factors and 3 levels） combined with regression analysis were applied. Finally, response surface and contour were graphed with the extraction yield of quercetin as the response value. According to the above design and results,the optimal condition was obtained as follows： the extracting time was 33.5min,the extracting power was 254.6W,the ethanol concentration was 62.32%,and solid-liquid ratio 1：20. Under this optimal condition,the yield of quercetin was 3.82mg/100g,which was almost in accordance with the predicted data.