基于响应面优化法的桑椹色素提取条件优化  

The Mulberry Pigment Extraction Condition Optimization Based on Response Surface Method

作　　者：王伟[1] 王楠[2] 何国庆[3] 金灵霞[1] 张玉[1] 

机构地区：[1]浙江省农业科学院农产品质量标准化研究所,杭州310021 [2]浙江树人大学生物与环境工程学院,杭州310021 [3]浙江大学生物工程与食品科学学院,杭州310029

出　　处：《中国食品学报》2011年第1期152-158,共7页Journal of Chinese Institute Of Food Science and Technology

基　　金：浙江省面上项目(2009C32093);浙江省自然科学基金项目(Y3090026);浙江省上虞市虞南山区专项

摘　　要：通过单因素试验、部分因子试验和中心点组合试验逐步优化桑椹色素的提取条件,最终得到桑椹色素的最佳提取条件为温度50℃,20%乙醇中含柠檬酸0.3%,频率40kHz,超声时间30min,料液比1:5.8(W/V)。在此条件下桑椹色素的得率为6.18g/kg。本文建立了基于桑椹色素提取条件的优化模型。验证试验结果表明该模型的预测准确率达98.9%。采用优化的提取条件提取桑椹色素,其得率得到提高。Optimized the mulberry pigment extraction conditions step by step,through One-factor test,Fractional Factors Design（FFD） and Central Composite Design（CCD）.The optimized conditions were temperature 50 ℃,citric acid concentration was 0.3% in 20% ethanol,ultrasounding 30 minutes at the frequency 40 KHz with a ratio of substrate/water 1：5.8（W/V）,the yield rate of mulberry pigment reached to 6.18 g/kg.A response surface optimized model based on the mulberry pigment extraction conditions was established.The verified test results showed the model with a 98.9% accurate rate,and the pigment yield rate was improved by the optimized extraction conditions.

关 键 词：响应面 桑椹色素 超声 柠檬酸 

分 类 号：TS264.4[轻工技术与工程—发酵工程]