中心组合设计-响应面法优选酸枣仁总皂苷的 提取工艺研究
目的 优选酸枣仁中酸枣仁总皂苷的最佳提取工艺。方法 采用紫外分光光度法检测酸枣仁总皂苷含量, 运用中心组合设计-响应面法研究乙醇浓度、液固比、提取时间对酸枣仁皂苷提取的影响, SAS软件建立预测模型, 响应面法分析最佳提取条件。结果 优选得到最佳提取工艺为14倍量75%乙醇回流提取2次, 每次2 h。验证实验结果酸枣仁总皂苷平均含量为34.26 mg/g。结论 中心组合设计-响应面法优选酸枣仁总皂苷提取工艺的可信度高, 皂苷含量验证实验检测值与模型预测值接近, 模型预测性好, 工艺稳定, 可为酸枣仁总皂苷的工业化提取生产提供科学依据。
Objective The extraction of jujuboside from semen ziziphi spinosae was optimized. Methods The content of jujuboside was detected by ultraviolet and visible spectrophotometry, and central composite de-sign (CCD)-response surface methodology was used to study the effects of ethanol concentration, ethanol dosage and extraction time as well as their interactions on the content of jujuboside. A predictive model was developed by SAS software, and the optimum extraction conditions were determined by response surface analysis. Results The optimum reflux extraction conditions were 14 times of 75% ethanol extracted 2 h for 2 times. The average content of jujuboside was 34.26 mg/g. Conclusion CCD-response surface methodology for optimizing the reflux extraction press of jujuboside was reliable, and the detected content of jujuboside closed to the predictive value. The predicted extraction process was stabled, and it could be used to direct the industrialized extraction of jujuboside.
标题：中心组合设计-响应面法优选酸枣仁总皂苷的 提取工艺研究
英文标题：Optimization of reflux extraction of jujuboside from semen ziziphi spinosae by central composite design-response surface methodology
作者：
祝洪艳 吉林农业大学中药材学院
林海成 吉林农业大学中药材学院
杨鹤 吉林农业大学中药材学院
王国丽 吉林农业大学中药材学院
赵岩 吉林农业大学中药材学院
郜玉钢 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:酸枣仁总皂苷,酸枣仁皂苷A,提取工艺,中心组合设计-响应面法,
英文关键词:jujuboside,jujuboside A,extraction,central composite design -response surface methodology,
发表日期：2014-08-29
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