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基于成分-抗氧化活性相关的鸡血藤饮片等级评价研究
引用本文:赵梦利,刘妍如,宋忠兴,唐志书,段金廒,陈琳,刘峰,陈彦斌,许刚,史鑫波.基于成分-抗氧化活性相关的鸡血藤饮片等级评价研究[J].中草药,2020,51(4):943-949.
作者姓名:赵梦利  刘妍如  宋忠兴  唐志书  段金廒  陈琳  刘峰  陈彦斌  许刚  史鑫波
作者单位:陕西中医药大学 陕西省中药资源产业化协同中心, 省部共建协同秦药特色资源研究与开发重点实验室(培育), 陕西省创新药物研究中心, 陕西 咸阳 712083,陕西中医药大学 陕西省中药资源产业化协同中心, 省部共建协同秦药特色资源研究与开发重点实验室(培育), 陕西省创新药物研究中心, 陕西 咸阳 712083,陕西中医药大学 陕西省中药资源产业化协同中心, 省部共建协同秦药特色资源研究与开发重点实验室(培育), 陕西省创新药物研究中心, 陕西 咸阳 712083,陕西中医药大学 陕西省中药资源产业化协同中心, 省部共建协同秦药特色资源研究与开发重点实验室(培育), 陕西省创新药物研究中心, 陕西 咸阳 712083,南京中医药大学 江苏省方剂高技术研究重点实验室, 江苏省中药资源产业化过程协同创新中心, 江苏 南京 210023,陕西中医药大学 陕西省中药资源产业化协同中心, 省部共建协同秦药特色资源研究与开发重点实验室(培育), 陕西省创新药物研究中心, 陕西 咸阳 712083,陕西国际商贸学院, 陕西步长制药有限公司, 陕西 咸阳 712083,陕西国际商贸学院, 陕西步长制药有限公司, 陕西 咸阳 712083,陕西国际商贸学院, 陕西步长制药有限公司, 陕西 咸阳 712083,陕西中医药大学 陕西省中药资源产业化协同中心, 省部共建协同秦药特色资源研究与开发重点实验室(培育), 陕西省创新药物研究中心, 陕西 咸阳 712083
基金项目:国家自然科学基金项目(81501229);国家自然科学基金项目(81773919);陕西省“特支计划”青年拔尖人才项目;国家中药标准化项目(ZYBZH-C-QIN-45)
摘    要:目的基于"成分反映活性,活性指向功效"的中药质量控制研究思路,建立鸡血藤饮片等级评价模型。方法采用超高效液相色谱(UPLC)技术建立鸡血藤饮片的儿茶素、表儿茶素含量测定方法,以ABTS·+清除率、羟自由基清除率和DPPH·清除率作为体外抗氧化活性评价指标,运用Logistic的二分类算法,将儿茶素、表儿茶素含量指标和抗氧化活性指标进行关联分析,最终建立用于鸡血藤4个等级(优、良、中、差)评价研究的"主成分分析-二分类Logistic回归"模型。结果不同产地鸡血藤饮片的儿茶素和表儿茶素质量分数分别介于0.40~1.26mg/g、0.57~2.02mg/g;抗氧化指标ABTS·+、羟自由基和DPPH·清除率分别介于12.96%~51.76%、30.65%~66.65%、37.65%~60.33%。二分类Logistic回归分析结果显示,17个批次的鸡血藤及其2个伪品(大血藤和牛马藤)饮片分布在优级、中级、差级各有5个批次,良级有4个批次,拟合概率P值均大于94%。结论基于Logistic回归分析建立的的鸡血藤等级评价模型,可用于不同产地来源鸡血藤的等级划分。

关 键 词:鸡血藤  等级评价  抗氧化活性  超高效液相色谱  二分类Logistic回归分析
收稿时间:2019/8/30 0:00:00

Research on grade prediction of Spatholobi Caulis via components-anti-oxidant activity correlations
ZHAO Meng-li,LIU Yan-ru,SONG Zhong-xing,TANG Zhi-shu,DUAN Jin-ao,CHEN Lin,LIU Feng,CHEN Yan-bin,XU Gang and SHI Xin-bo.Research on grade prediction of Spatholobi Caulis via components-anti-oxidant activity correlations[J].Chinese Traditional and Herbal Drugs,2020,51(4):943-949.
Authors:ZHAO Meng-li  LIU Yan-ru  SONG Zhong-xing  TANG Zhi-shu  DUAN Jin-ao  CHEN Lin  LIU Feng  CHEN Yan-bin  XU Gang and SHI Xin-bo
Institution:Shaanxi Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, State Key Laboratory of Research&Development of Characteristic Qin Medicine Resources Cultivation, Shaanxi Province Key Laboratory of New Drugs and Chinese Medicine Foundation Research, Shaanxi University of Chinese Medicine, Xianyang 712083, China,Shaanxi Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, State Key Laboratory of Research&Development of Characteristic Qin Medicine Resources Cultivation, Shaanxi Province Key Laboratory of New Drugs and Chinese Medicine Foundation Research, Shaanxi University of Chinese Medicine, Xianyang 712083, China,Shaanxi Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, State Key Laboratory of Research&Development of Characteristic Qin Medicine Resources Cultivation, Shaanxi Province Key Laboratory of New Drugs and Chinese Medicine Foundation Research, Shaanxi University of Chinese Medicine, Xianyang 712083, China,Shaanxi Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, State Key Laboratory of Research&Development of Characteristic Qin Medicine Resources Cultivation, Shaanxi Province Key Laboratory of New Drugs and Chinese Medicine Foundation Research, Shaanxi University of Chinese Medicine, Xianyang 712083, China,Jiangsu Key Laboratory for Traditional Chinese Medical Formula Research, Collaborative Innovation Center of Chinese Medicinal Resources Industrialization of Jiangsu Province, Nanjing University of Chinese Medicine, Nanjing 210023, China,Shaanxi Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, State Key Laboratory of Research&Development of Characteristic Qin Medicine Resources Cultivation, Shaanxi Province Key Laboratory of New Drugs and Chinese Medicine Foundation Research, Shaanxi University of Chinese Medicine, Xianyang 712083, China,Shaanxi International Business College, Shaanxi Buchang Pharmaceutical Co., Ltd., Xianyang 712083, China,Shaanxi International Business College, Shaanxi Buchang Pharmaceutical Co., Ltd., Xianyang 712083, China,Shaanxi International Business College, Shaanxi Buchang Pharmaceutical Co., Ltd., Xianyang 712083, China and Shaanxi Collaborative Innovation Center of Chinese Medicinal Resources Industrialization, State Key Laboratory of Research&Development of Characteristic Qin Medicine Resources Cultivation, Shaanxi Province Key Laboratory of New Drugs and Chinese Medicine Foundation Research, Shaanxi University of Chinese Medicine, Xianyang 712083, China
Abstract:Objective The model for grade evaluation of Spatholobi Caulis medicinal slices was constructed based on the quality control idea of traditional Chinese medicines that "components reflect activity and activity points to efficacy". Methods A method to determinate catechin and epicatechin content by using ultra performance liquid chromatography (UPLC) was proposed. ABTS·+ clearance rate, hydroxyl radical clearance rate and DPPH·clearance rate were used as evaluation indexes of biological activity. Correlations between content and anti-oxidant activity were analyzed by the logistic algorithm. Finally, a "principal component analysis-logistic regression" model for grade prediction of Spatholobi Caulis was constructed. Results Catechin and epicatechin content in Spatholobi Caulis medicinal slices from different origins was between 0.40-1.26 mg/g and 0.57-2.02 mg/g, respectively. The anti-oxidant indexes ABTS·+, hydroxyl radical and DPPH·clearance rate were between 12.96%-51.76%, 30.65%-66.65%, and 37.65%-60.33%, respectively. The binary logistic regression analysis results showed that five batches were evaluated as excellent, average and poor rank, and four batches were considered as good rank (P>94%) among 17 batches of Spatholobi Caulis herbal pieces and its two kinds of counterfeit (Sargentodoxa cuneata and Mucuna sempervirens). Conclusion Binary logistic regression model for grade evaluation of Spatholobi Caulis medicinal slices was constructed preliminarily. It is applicable to assess quality of Spatholobi Caulis herbal pieces. The grading evaluation model of Spatholobi Caulis via logistic regression analysis can be used to classification of Spatholobi Caulis from different sources.
Keywords:Spatholobi Caulis  grade prediction  anti-oxidant activity  ultra performance liquid chromatography  binary logistic regression
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