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、0.57～2.02 mg/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。

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.

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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）