响应面法优化超声辅助乙醇提取五味子 木脂素工艺研究
目的 优化五味子木脂素超声辅助提取工艺, 获取工艺参数。方法 利用响应面法(RSM)对五味子木脂素超声辅助乙醇提取工艺进行优化。在单因素实验基础上, 选择乙醇浓度、超声提取时间和液固比为自变量, 木脂素提取率为响应值, 根据中心组合设计原理采用3因素5水平的响应面分析法, 研究乙醇浓度、超声时间、液固比及其交互作用对五味子3种主要木脂素提取率的影响。应用SAS软件和响应面分析相结合的方法, 模拟得到回归方程的预测模型和可信度, 并通过岭脊分析得到最佳的提取条件。结果 五味子木脂素超声辅助乙醇提取最佳条件为: 乙醇浓度85%、超声时间34 min、液固比146 mL/g。该条件下3种主要木脂素类成分总提取率为1.13%。结论 研究建立的模型适合五味子木脂素的提取,可用于实际生产。
Objective To optimize the extraction technique for lignans from Schisandra chinensis and get the process parameter. Methods Using the response surface method (RSM) to optimize the ultrasonic assisted ethanol extraction process of lignans from Schisandra chinensis. On the basis of single factor experiment, the ethanol concentration, extraction time and liquid-solid ratio were selected as the independent variable, lignans extraction rate response, according to the central composite design principles using three factors and five levels of response surface methodology to study the concentration of ethanol, ultrasonic time, liquid-solid ratio and their interactions on three main lignans extraction rate. Combining SAS and response surface analysis method, the reliability and regression equation prediction model were obtained, and the best extraction conditions were obtained by ridge analysis. Results The conditions were listed as follows: ethanol concentration 85%, ultrasonic extraction time 34 min, the liquid to solid ratio 146 mL/g. Under the optimum conditions, the extraction yield of lignans was 1.13%. Conclusion The model is suitable for the lignans extracted from Schisandra chinensis, and can be used for actual production.
标题:响应面法优化超声辅助乙醇提取五味子 木脂素工艺研究
英文标题:Study on ultrasonic assisted ethanol extraction process of lignans from Schisandra chinensis by response surface methodology
作者:
张悦怡 吉林农业大学中药材学院
刘勇慧 吉林农业大学中药材学院
赵岩 吉林农业大学中药材学院
温馨 吉林农业大学中药材学院
程铭 吉林农业大学中药材学院
盛彦玲 吉林农业大学中药材学院
杨鹤 吉林农业大学中药材学院
刘双利 吉林农业大学中药材学院
张连学 吉林农业大学中药材学院
中文关键词:五味子,木脂素,提取工艺,中心组合设计,响应面分析,
英文关键词:Schisandra chinensis,lignans,extraction technique,central composite design,response surface analysis,
发表日期:2014-05-20
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