目的 采用近红外光谱技术，结合不同变量筛选方法对金银花提取过程中绿原酸量进行快速测定。方法 采用组合间隔偏最小二乘法（SIPLS）、竞争自适应抽样方法（CARS）、变量投影重要性（VIP）、连续投影算法（SPA）4种不同变量筛选方法，以HPLC测定值作参比，建立金银花中绿原酸定量模型并进行比较，优选出最佳变量筛选方法。结果 经SIPLS方法所建绿原酸模型预测能力最好，预测集决定系数（R_pre²）和预测均方根误差（RMSEP）分别为0.990 3和2.316%。结论 近红外光谱法结合SIPLS变量筛选方法建立的绿原酸定量模型性能良好，满足中药提取过程实时监测分析的精度要求，可用于中药提取过程的快速分析。

Objective To determine the content of chlorogenic acid in Lonicerae Japonicae Flos by the combined near-infrared and variable selection methods. Methods Synergy interval partial least squares (SIPLS), competitive adaptive reweighted sampling method (CARS), variable importance in projection (VIP), and successive projections algorithm (SPA) were used to build a chlorogenic acid quantitative model in Lonicerae Japonicae Flos and compare. High performance liquid chromatography (HPLC) was used as a reference to select the optimum variable screening method. Results Study results showed that SIPLS was the most desirable method for chlorogenic acid in regression performance with R_pre² at 0.990 3 and RMSEP at 2.316%. Conclusion The quantitative model of chlorogenic acid established by NIR combined with SIPLS has good performance and meets the requirement of real-time analysis of traditional Chinese medicine production process.

北京市科技新星计划项目（xx2016050）；北京中医药大学杰出青年基金项目（2015-JYB-XYQ-003）