Simultaneous optimization of the extraction process of Yangyin Yiqi Huoxue prescription with natural deep eutectic solvents for optimal extraction yield and antioxidant activity: A comparative study of two models
Simultaneous optimization of the extraction process of Yangyin Yiqi Huoxue prescription with natural deep eutectic solvents for optimal extraction yield and antioxidant activity: A comparative study of two models
复制标题
天然低共熔溶剂同时优化养阴益气活血方提取工艺以获得最佳提取率和抗氧化活性：两种模型的比较研究
DOI：
10.1016/j.phymed.2022.154156
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发表时间：
2022-05-10
期刊：
影响因子：
7.9
通讯作者：
Yu, Li
中科院分区：
文献类型：
--
作者：
Jin, Lei;Jin, Weifeng;Yu, Li
简介：天然低共熔溶剂（Natural deep eutectic solvents，NaDESs）是一种绿色有效的溶剂，采用高效液相色谱法对养阴益气活血方中葛根素、毛蕊异黄酮和芒柄花素的提取率进行了系统的筛选和评价。在单因素试验的基础上，采用Box-Benhnken设计的4因素3水平试验方案，对提取率和抗氧化性进行了测定。结果：以甜菜碱-乳酸为提取剂的筛选工艺具有明显的优势。GNN提供的最佳提取参数为：含水量25%（v/v）、液料比190 mg/ml、提取时间37 min、提取温度63。C.在此条件下，提取率和抗氧化性的实验综合评价值平均值分别为3.12 mg/g和86.27%，与预测值的相对偏差分别为0.30%和1.44%。结论：GNN在提取率和抗氧化活性双目标优化中的应用是有效的、可靠的。此外，我们的研究结果提供了一个参考和理论基础的实验和未来的工业提取多目标的情况。
Introduction: Natural deep eutectic solvents (NaDESs) are green and effective solvents that are used to extract 3 flavonoids from Yangyin Yiqi Huoxue prescription, a traditional Chinese prescription.Methods: A total of 6 types of NaDESs were systematically screened and evaluated for the total extraction yield of puerarin, calycosin, and formononetin by high-performance liquid chromatography. Then, a 4-factor-three-level experimental scheme designed by the Box-Benhnken Design was applied on the basis of a single experiment to determine the extraction yield and the antioxidant property. Finally, the extraction process was optimized through response surface methodology (RSM) and the genetic neural network (GNN), respectively.Results: The use of betaine-lactic acid as an extractant displayed significant advantages in the screening process. The optimum extraction parameters provided by GNN were as follows: water content 25% (v/v), liquid to material ratio 190 mg/ml, extraction time 37 min, and extraction temperature 63. C. Under this condition, the average experimental comprehensive evaluation values of the extraction yield and antioxidant properties were 3.12 mg/g and 86.27%, and the relative deviations to the predicted values were 0.30% and 1.44%, respectively. In addition, the experimental results of GNN were better than those of RSM (p < 0.01).Conclusions: We found the application of GNN to be effective and credible for bi-objective optimization of extraction yields and antioxidant activity in this study. Moreover, our results provide a reference and a theoretical basis for experimental and future industrial extraction for multi-objective situations.