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Rapid screening of antioxidant active constituents from puerariae lobatae radix based on the investigation of quantitative patteren-activity relationship

机译:基于定量构效关系研究快速从葛根中筛选抗氧化活性成分

摘要

Screening bioactive constituents from herbal medicines or traditional Chinese medicines according to traditional phytochemical approach is time-consuming and laborious. The objective of the present study is to provide a strategy for rapid screening of active candidates from plant extract based on the Quantitative Patteren-Activity Relationship. The chromatographic fingerprint (Patteren) data sets were obtained by our previous proposed method and the antioxidant activity was measured by Ferric Reduction Ability Power assay. The correlation model was built by partial least squares and bioactive components were screened out by target projection. Variable selection and model evaluation were performed by 4-fold cross validation. The optimal model required 5 PLS components. The calibration and prediction multiple correlation coefficients were 0.990 and 0.975, respectively. And the calibration and prediction errors were 23.2 and 36.4, respectively. The projection result showed that the antioxidant activity was highly correlated to some variables/peaks, indicating that they are main antioxidants. 3'-Hydroxypuerarin, puerarin, 3'-methoxypuerarin and 6''-O-D-xylosylpuerarin were identified to be four main antioxidants by comparing their TOF MS patterns and retention times. Moreover, the model was found to predict accurately the antioxidant capacity of the Radix puerariae samples through their chromatographic fingerprint only. The results obtained in this work show clearly how simple and effective our proposed method is in bioactive constituent screening as well as drug lead compound discovery from herbal medicines.
机译:根据传统植物化学方法从草药或中药中筛选生物活性成分既费时又费力。本研究的目的是提供一种基于定量模式-活性关系从植物提取物中快速筛选活性候选物的策略。通过我们先前提出的方法获得色谱指纹图谱(模式)数据集,并通过铁还原能力测定法测量抗氧化活性。通过偏最小二乘建立相关模型,并通过目标投影筛选出生物活性成分。通过四重交叉验证进行变量选择和模型评估。最佳模型需要5个PLS组件。校准和预测多重相关系数分别为0.990和0.975。校准误差和预测误差分别为23.2和36.4。预测结果表明,抗氧化剂活性与某些变量/峰高度相关,表明它们是主要的抗氧化剂。通过比较TOF MS谱图和保留时间,可以确定3'-羟基葛根素,葛根素,3'-甲氧基葛根素和6'-O-D-木糖基葛根素是四种主要的抗氧化剂。此外,发现该模型仅通过色谱指纹图谱即可准确预测葛根样品的抗氧化能力。在这项工作中获得的结果清楚地表明,我们提出的方法在生物活性成分筛选以及从草药中发现药物先导化合物方面是多么简单和有效。

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