Optimization of the Technology of Chlorogenic Acid Extraction from Yacon (Smallanthus Sonchifolius) using Box-Behnken Design

Songshan Qiu, Cuicui Jiang, Yaou-Huei Huang, Rujin Zhou
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引用次数: 1

Abstract

Optimization of the Technology of Chlorogenic Acid Extraction from Yacon (Smallanthus Sonchifolius) using Box-Behnken Design In order to further enhance the value of comprehensive utilization, soxhlet extraction of chlorogenic acid (CGA) from yacon was studied in this paper. Firstly, single factor experiment provided the extraction effects of three main parameters of soxhlet extraction process involving syphon time, ethanol concentration and liquid-solid rate and obtained preliminary process parameters for higher extraction rate; furthermore, Box-Behnken design was applied to obtain the three optimal parameters of extraction process and formulate a regression model fitting process parameters and extraction rate. Results showed that the optimal soxhlet extraction process was as follows: syphon times of 5, ethanol concentration of 50% and liquid-solid rate of 15 mL/g, and the predicted extraction rate was 5.21%. In the optimal process actual extraction rate was 5.22%, which accorded well with the predicted value of the model. The analysis of regression model revealed that the effect of syphon time, ethanol concentration and liquid-solid rate each other was significant, especially the interaction of ethanol concentration and liquid-solid rate was extremely significant. To sum up, response surface methodology can be applied to the optimization of soxhlet extraction process of CGA in yacon, and the optimal soxhlet extraction process is advisable to extract CGA in yanco with high extraction rate and further to enlighten industry production and market-oriented utilization of CGA.
Box-Behnken设计优化雪莲中绿原酸提取工艺
采用Box-Behnken设计优化雪莲中绿原酸的提取工艺为进一步提高雪莲中绿原酸的综合利用价值,对雪莲中绿原酸的索氏提取工艺进行了研究。首先通过单因素实验,给出了索氏提取工艺中虹吸时间、乙醇浓度和液固比三个主要参数的提取效果,得到了提高索氏提取率的初步工艺参数;采用Box-Behnken设计,得到提取工艺的3个最优参数,并建立拟合工艺参数与提取率的回归模型。结果表明,最佳索氏提取工艺为:虹吸次数5次,乙醇浓度为50%,液固比为15 mL/g,预测提取率为5.21%。在最佳工艺条件下,实际提取率为5.22%,与模型预测值吻合较好。回归模型分析表明,虹吸时间、乙醇浓度和液固速率三者相互影响显著,其中乙醇浓度与液固速率的交互作用尤为显著。综上所述,响应面法可应用于烟叶中CGA索氏提取工艺的优化,优化后的索氏提取工艺有利于烟叶中CGA的高提取率提取,对烟叶中CGA的工业化生产和市场化利用具有一定的启示作用。
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