摘要
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2h。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 do-sage and extraction time as well as their interactions on the content of jujuboside. A predictive model was de-veloped by SAS software, and the optimum extraction conditions were determined by response surface analysis. ResultsThe 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. ConclusionCCD-response surface methodology for op-timizing 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 industria- lized extraction of jujuboside.
出处
《食品安全质量检测学报》
CAS
2014年第11期3718-3726,共9页
Journal of Food Safety and Quality
基金
国家科技支撑计划项目(2011BAI03B010602)
国家科技重大专项(2012ZX09304006)
吉林省科技发展计划项目(20130102075JC)
国家公益性行业科研专项(201303111)
吉林省教育厅十二五项目(2014第60号)~~