The plant origin is one of the most important factors for the quality control of traditional Chinese medicines (TCMs) and highly affected on their safety and effectiveness in clinical applications. Multi-origin has been widely observed for many TCMs. Siegesbeckiae Herba (SH) is a traditional anti-rheumatic TCM which is originated from the plants of Siegesbeckia pubescens Makino (SP), S. orientalis L. (SO), and S. glabrescens Makino (SG). In the present study, an UPLC-QTOF/MS method were validated and successfully applied for the determination of the chemical profiles in the three SH species. The data were statistical analyzed with the OPLS-DA analysis and One-Way ANOVA F-test. Obvious differences in chemistry were observed in different SH species and 40 components were identified. Finally, 6 components were selected as potential chemical markers for the discrimination of SP, SO and SG based on the characteristic distribution in individual SH species.

植物来源是中药（TCMs）质量控制的最重要因素之一，其在临床应用中的安全性和有效性受到极大影响。对于许多中药，已经广泛发现了多来源。Siegesbeckiae Herba（SH）是一种传统的抗风湿性中药，起源于Siegesbeckia pubescens Makino（SP），S。Orientalis L.（SO）和S. glabrescens Makino（SG）。在本研究中，UPLC-QTOF / MS方法得到了验证，并成功地用于测定三个SH物种的化学特征。使用OPLS-DA分析和单向ANOVA F对数据进行统计分析-测试。在不同的SH物种中观察到明显的化学差异，并鉴定出40种成分。最后，根据单个SH物种的特征分布，选择了6种成分作为SP，SO和SG的潜在化学标记。