文章摘要
陈思邈,李旭冉,张宇燕,等.Box-Behnken响应面设计联合LS-SVM数学模型优化经典名方涤痰汤的有效成分提取工艺[J].浙江中医药大学学报,2022,(6):613-622, 628.
Box-Behnken响应面设计联合LS-SVM数学模型优化经典名方涤痰汤的有效成分提取工艺
Box-Behnken Response Surface Design Combined with LS-SVM Mathematical Model to Optimize the Extraction Process of Effective Components of the Classic Famous Prescription Ditan Decoction
DOI:10.16466/j.issn1005-5509.2022.06.006
中文关键词: 涤痰汤  响应面法  最小二乘支持向量机  辛弗林  橙皮苷  新橙皮苷  α-细辛醚  β-细辛醚
英文关键词: Ditan Decoction  response surface methodology  least squares support vector machine  synephrine  hesperidin  neohesperidin  α-asarone  β-asarone
基金项目:国家自然科学基金项目(81774230);浙江省自然科学基金项目(LY21H270012)
作者单位
陈思邈 浙江中医药大学 杭州 310053 
李旭冉 浙江中医药大学 杭州 310053 
张宇燕 浙江中医药大学 杭州 310053 
金伟锋 浙江中医药大学 杭州 310053 
陶水良 浙江中医药大学 杭州 310053 
丁志山 浙江中医药大学 杭州 310053 
陈伟燕 浙江中医药大学 杭州 310053 
摘要点击次数: 134
全文下载次数: 80
中文摘要:
      [目的] 通过Box-Behnken响应面设计联合最小二乘支持向量机(least squares-support vector machine,LS-SVM)数学模型,优化涤痰汤有效成分的提取工艺。[方法] 以涤痰汤中5种有效成分(辛弗林、橙皮苷、新橙皮苷、α-细辛醚、β-细辛醚)的总提取量为评价指标,在乙醇浓度、液料比、提取时间、提取温度等单因素考察的基础上,利用Box-Behnken响应面法,设计四因素三水平试验,通过LS-SVM数学模型构建,预测涤痰汤有效成分的最佳提取工艺。[结果] 涤痰汤的最佳提取工艺为乙醇浓度55%、液料比10:1(mL·g-1)、提取时间88 min、提取温度65 ℃,且模型预测值与实验值相对误差为0.57%,吻合度高。[结论] Box-Behnken响应面设计联合LS-SVM数学模型可用于涤痰汤的提取工艺优化,所得最佳提取工艺稳定可行。LS-SVM数学模型的应用也为传统中医药及复方中药制剂的开发研究提供了新的方法。
英文摘要:
      [Objective] To optimize the extraction process of effective components of Ditan Decoction through Box-Behnken response surface design combined with least squares-support vector machine(LS-SVM) mathematical model. [Methods] The total extraction of 5 effective components(synephrine, hesperidin, neohesperidin, α-asarone, β-asarone) in Ditan Decoction were used as the evaluation indicators. On the basis of single factor investigation such as ethanol concentration, liquid-to-material ratio, extraction time and extraction temperature, the Box-Behnken response surface method was used to design a 4-factor 3-level test, and the experimental results were constructed through the LS-SVM mathematical model to predict the optimal extraction process of the effective components of Ditan Decoction. [Results] The optimal extraction process of Ditan Decoction was ethanol concentration 55%, liquid-to-material ratio 10:1(mL·g-1), extraction time 88 min, extraction temperature 65 ℃, and the relative error between the predicted value of the model and the measured value was 0.57%, indicating high consistency. [Conclusion] Box-Behnken response surface design combined with LS-SVM mathematical model can be used to optimize the extraction process of Ditan Decoction, and the obtained optimal extraction process is stable and feasible. The application effect of the LS-SVM mathematical model also provides a new method for the development and research of traditional Chinese medicine and compound preparations.
查看全文   查看/发表评论  下载PDF阅读器
关闭