本文已被:浏览 1420次 下载 286次
投稿时间:2018-10-08
投稿时间:2018-10-08
中文摘要: 为确定黄槿叶总黄酮的最佳提取工艺,并评价其抗氧化活性,利用响应面法对黄槿叶总黄酮的提取工艺进行优化,以总黄酮提取率为指标,对乙醇浓度、液料比、提取温度和提取时间四因素进行考察,利用Box-Behnken 对试验进行四因素三水平的响应面法优化,并测定黄槿叶总黄酮的抗氧化活性。结果表明,二次多项式回归模型极显著(p<0.000 1),可以很好地对黄槿叶总黄酮提取率进行分析和预测,最佳提取条件为:乙醇浓度64%、液料比27∶1(mL/g)、提取温度76 ℃和提取时间93 min,在此条件下黄槿叶总黄酮的提取率为28.35 mg/g,与预测值(28.48 mg/g)相差为0.46%。说明利用该方程对黄槿叶总黄酮的提取率进行优化与预测具有准确性和可靠性,提取的黄槿叶总黄酮具有较强的抗氧化活性。
Abstract:In order to determine the optimum extraction process of total flavonoids from Hibiscus tilisceus leaves and evaluate its antioxidant activity,the extraction process of total flavonoids from Hibiscus tilisceus leaves was optimized using response surface methodology.With the extraction yield of total flavonoids as the target,the single factor experiment was investigated involving ethanol concentration,liquid to material ratio,extraction temperature and extraction time as factor.Four factors and three levels response surface methodology were established based on the Box-Behnken design and the antioxidant activities were also obtained.The results showed that the quadratic polynomial regression model was extremely significant (p<0.000 1),which could be used to analysis and predict the extraction yield of total flavonoids from Hibiscus tilisceus leaves.The optimal extraction conditions were as follow:ethanol concentration 64%,liquid material ratio 27∶1(mL/g),extraction temperature 76 °C and extraction time 93 min.The extraction yield of total flavonoids from Hibiscus tilisceus leaves was 28.35 mg/g on the optimal condition,and the relative error was 0.46%compared with the predicted value (28.48 mg/g).The use of response surface method to optimize the extraction process of total flavonoids from Hibiscus tilisceus leaves had the accuracy and reliability,and the total flavonoids obtained had a strong antioxidant activity.
文章编号:201914015 中图分类号: 文献标志码:
基金项目:福建省高校杰出青年科研人才培育计划(闽教科[2015]54 号);福建省中青年教师教育科研项目(JAT171090);福建省科技计划项目资助(2018N2002);漳州市自然科学基金(ZZ2017J08)
Author Name | Affiliation |
CHEN Jian-fu | School of Food Engineering,Zhangzhou Institute of Technology,Zhangzhou 363000,Fujian,China |
引用文本: