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利用响应面分析法优化莲蓬壳中总黄酮提取条件

时间:2020-08-18 15:49来源:毕业论文
应用Design-Expert 8.0.6软件,模拟得到二次多项式回归方程的预测模型,并确定乙醇提取莲蓬壳总黄酮的最佳工艺条件为∶液料比40 g/ml,乙醇浓度为48%,提取温度60 ℃和提取时间10 min。在最

摘要:利用响应面分析法优化莲蓬壳总黄酮提取工艺条件。在单因素试验基础上,以提取时间,提取温度,料液比及乙醇浓度为响应因子,总黄酮提取得率为响应值,进行四因素三水平响应面法分析,应用Design-Expert 8.0.6软件,模拟得到二次多项式回归方程的预测模型,并确定乙醇提取莲蓬壳总黄酮的最佳工艺条件为∶液料比40 g/ml,乙醇浓度为48%,提取温度60 ℃和提取时间10 min。在最佳工艺条件下,每提取1次,莲蓬壳总黄酮提取量为8.322 g/100 g,接近于预测值8.642 g/100 g,说明采用响应面法优化得到的提取条件可靠。54357

毕业论文关键词:响应面分析法,莲蓬壳,黄酮,提取,优化条件 

Abstract: Response Surface Analysis (RSA) was applied to optimize the extraction of the total flavonoids of Lotus receptacle. On the basis of single-factor test, with extraction time, extraction temperature, solvent/material ratio and ethanol concentration for the response factor, total flavonoids obtained rate in response to a value, analyses the response surface methodology (RSM) with 4 factors and 3 levels. Design-Expert 8.0.6 software was used to fit experimental data and a quadratic polynomial regression model was developed for the yield of the total flavonoids of lotus receptacle as a response to the parameters. Results showed that the optimal value of extraction conditions were as follows:solvent /material ratio 40 g/ml, ethanol concentration 48%, extraction temperature 60 °C and extraction time 10 min. Under such conditions and extraction 1 time, the yield of the total flavonoids of lotus receptacle was up to 8.322 g/100 g, which is close to the predictive yield (8.642 g/100 g), suggesting that the optimal extraction by conditions the response surface methodology( RSM) are reliable.

Key Words:response surface analysis(RSA), lotus receptacle, flavonoids, extraction,  optimization condition

目   录

1  前言 6

1.1 莲蓬壳 6

1.2 莲蓬壳的功能成分及研究概况 6

1.3 响应面分析法设计原理 7

1.4 研究的主要内容 7

1.5 研究意义 8

材料与方法 8

2.1 实验材料与试剂 8

2.2 实验仪器与设备 8

2.3 实验方法 8

2.3.1 芦丁标准曲线的制定 8

2.3.2 响应面分析法优化莲蓬壳总黄酮提取工艺 9

3  结果与分析 9

3.1 响应面分析方案及实验结果 9

3.2 模型的建立及其显著性检验 11

3.3 响应曲面分析 12

3.4 最优工艺条件求取与验证 15

4  讨论 15

结 论 16

参考文献 利用响应面分析法优化莲蓬壳中总黄酮提取条件:http://www.youerw.com/shengwu/lunwen_58560.html

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