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目的:试验设计(Statistical design of experiment)首次被运用于优化提取总酚酸过程。以优化超声提取千斤拔总酚酸为例, 研究此方法的适用性。方法:4 个提取因子, 乙醇浓度, 超声时间, 超声温度和溶剂溶质液固比用 full two-level factorial design 同时进行优化筛选; 根据筛选试验所得结果, 3 个显著因子, 乙醇浓度, 超声时间, 超声温度用face-centered composite design 进行响应面优化。结果:千斤拔优化超声提取总酚酸条件为:乙醇浓度 58.9 %, 超声时间 38 min, 超声温度 47.2 °C。在此条件下, 总酚含量为 40.36 mg·g-1, 它与预测值 39.88 mg·g-1 很好的吻合。结论:试验结果表明试验设计能够运用于优化千斤拔总酚提取过程。千斤拔是一种酚类含量较高的植物资源。
Purpose: The first part of the statistical design of experiment was used to optimize the extraction of total phenolic acids. To optimize the ultrasound extraction of unpolluted total phenolic acid, for example, to study the applicability of this method. Methods: Four extraction factors, ethanol concentration, ultrasonic time, ultrasonic temperature and solute-solid ratio of solvent were optimized and screened at the same time. According to the result of screening test, three significant factors, ethanol concentration, Response surface optimization with face-centered composite design. Results: Total phenolic acids extraction by optimized weight extraction was 58.9% ethanol concentration, ultrasonic time was 38 min and ultrasonic temperature was 47.2 ° C. Under this condition, the total phenolic content was 40.36 mg · g-1, which was in good agreement with the predicted value of 39.88 mg · g-1. Conclusion: The experimental results show that the experimental design can be applied to optimize the total phenol extraction process. Thousand kg pull is a high phenol content of plant resources.