食品工业科技Issue(10)：316-320,5.
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
摘要
Abstract
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.关键词
超声辅助提取/杨梅渣/槲皮素/响应面分析法Key words
ultrasonic-assisted extraction/Red Bayberry pomace/quercetin/response surface methodology分类
轻工纺织引用本文复制引用
韩强,陈卫,叶立斌,励建荣..响应面法优化杨梅渣中槲皮素提取工艺的研究[J].食品工业科技,2011,(10):316-320,5.基金项目
基金项目：宁波市农业攻关国际科技合作项目 （）
“十一五”国家科技支撑计划重点项目（2006BAD27803）. （）
