基于响应面法与信息熵法优选枳壳、醋香附总挥发性成分提取工艺

Extraction Process Optimization of Total Volatile Components from Aurantii Fructus and Cyperi Rhizoma Based on Combination of Response Surface Methodology and Information Entropy Method

关键词:  响应面法  信息熵法  挥发油提取  最佳工艺  剂型改进

Key words:  response surface method  information entropy method  volatile oil extraction  optimal process  dosage form improvement

摘要:

目的 优选枳壳、醋香附总挥发性成分的最佳提取工艺。方法 采用水蒸气蒸馏法提取枳壳、醋香附总挥发油，计算挥发油得率。GC测定枳壳挥发油中主要有效成分柠檬烯及醋香附挥发油中主要有效成分α-香附酮、香附烯酮的含量，应用信息熵原理对挥发油得率、3个有效成分含量进行权重分析，求得综合评分M为评价指标。对M进行Box-behnken模型分析，筛选出最佳提取工艺。结果 最佳提取工艺为液料比14倍、浸泡时间1.1 h、提取时间7 h。验证得实际M值与模型预测最佳M值相差<1%，表明本实验预测性较好，模型可靠度高。结论 基于响应面法与信息熵法原理所得最佳提取工艺能有效提高枳壳、醋香附总挥发性成分的含量。

Abstract:

OBJECTIVE To optimize the extraction process of total volatile components of Aurantii Fructus and Cyperi Rhizoma. METHODS The total volatile oil from Aurantii Fructus and Cyperi Rhizoma was extracted by steam distillation and the yield of volatile oil was calculated. The contents of the main effective components of total volatile oil such as limonene in Aurantii Fructus, α-geranyl ketone and geranyl ketone in Cyperi Rhizoma were determined by GC. The information entropy principle was applied to analyze the weight of the volatile oil yield and the contents of three effective components, and the comprehensive score M was obtained as the evaluation index. Box-behnken model analysis on M was used to select the optimal extraction process. RESULTS The optimum extraction technology was as followed:the ratio of liquid to material was 14 times; soaking time was 1.1 h and the extraction time was 7 h. The difference between the actual M value and the best M value of the model was less than 1%, which indicated that this experiment was predictable and the reliability of the model was high. CONCLUSION The optimum extraction technology based on response surface method and information entropy method can effectively improve the content of total volatile components of Aurantii Fructus and Cyperi Rhizoma.