摘要
目的:基于标准离差法和最小二乘支持向量机(LS-SVM)数学模型优化丹参中丹酚酸B和丹参酮ⅡA两种有效成分的提取工艺。方法:在单因素试验基础上,超声温度、超声时间、液料比和乙醇浓度作为丹酚酸B和丹参酮ⅡA提取率的影响因素,选用Box-Benhnken Design中心组合试验设计进行四因素三水平试验,采用HPLC测定丹酚酸B和丹参酮ⅡA含量并计算各自提取率。运用标准离差法对丹酚酸B和丹参酮ⅡA的提取率进行权重赋值,得到综合值作为评价指标。最后建立LS-SVM模型对综合评价值和对应的提取工艺条件进行寻优和预测。结果:LS-SVM模型得到的最佳提取工艺为:超声温度85℃、超声时间52 min、液料比12∶1(mL/g)、乙醇浓度90%,在此条件下得到的最优综合评价值为15.32,验证试验的平均真实值为15.34,两者相对误差为0.13%。结论:将标准离差法和LS-SVM应用于丹参中丹酚酸B和丹参酮ⅡA提取工艺的优化和预测,验证试验结果吻合最优预测值,说明该模型可靠。此模型为中药有效成分的提取工艺优化研究提供了一种新的思路与参考。
Objective:To optimize the extraction process of salvianolic acid B and tanshinoneⅡA in Salvia miltiorrhiza base on the standard deviation method and least squares support vector machine(LS-SVM)model.Methods:Ultrasonic temperature,ultrasonic time,liquid-to-material ratio and ethanol concentration were set as the factors affecting the extraction rate in the single factor experiment.Four factors and three levels of Box-Benhnken design(BBD)in response surface methods were used,the contents of salvianolic acid B and tanshinoneⅡA were determined by HPLC to calculate the extraction rate,respectively.The weight values of salvianolic acid B and tanshinoneⅡA were calculated by standard deviation method and the comprehensive evaluation value was taken as the evaluation index.Finally,the LS-SVM model was established to optimize and predict the comprehensive evaluation value and the corresponding extraction process conditions.Results:The optimum extraction technology in LS-SVM model was as follows,extraction temperature was 85℃,ultrasonic time was 52 min,liquid-to-material ratio was 12∶1(mL/g),ethanol concentration was 90%.Under the condition,the predicted comprehensive evaluation of value was 15.32;the average of the verification test was 15.34,the relative error was 0.13%.Conclusion:Standard deviation method and LS-SVM method are applied to optimize and predict the extraction process of salvianolic acid B and tanshinoneⅡA in Salvia miltiorrhiza,and the verification results are consistent with the prediction,it shows that the model is reliable.This model provides a new way of thinking and reference for the optimization of extraction technology of traditional Chinese medicine.
作者
应雨棋
张洋洋
虞立
何昱
李晓红
金伟锋
YING Yu-qi;ZHANG Yang-yang;YU Li;HE Yu;LI Xiao-hong;JIN Wei-feng(Zhejiang Chinese Medical University College of Second Clinical Medical,Hangzhou 310053,China;Zhejiang Chinese Medical University College of Life Science,Hangzhou 310053,China;Zhejiang Chinese Medical University College of Pharmacy,Hangzhou 310053,China)
出处
《中药材》
CAS
北大核心
2020年第4期936-941,共6页
Journal of Chinese Medicinal Materials
基金
国家自然科学基金项目(81873226,81874366)
2019年度浙江省新苗人才计划项目(2019R410013)
中国博士后科学基金面上资助项目(2018M630692)
浙江省基础公益研究计划项目(LGN19C190004,LGN18A010001)
浙江省教育厅一般科研项目(201840159)
浙江中医药大学科研基金项目(2019ZG30)。
关键词
最小二乘支持向量机
丹参
丹酚酸B
丹参酮ⅡA
提取工艺优化
Least squares support vector machine
Salvia miltiorrhiza Bge.
Salvianolic acid B
TanshinoneⅡA
Extraction process optimization