目的 建立六经头痛片原料药材辛夷和细辛的GC指纹图谱，为六经头痛片质量评价提供依据。方法 采用Aglient DB-WAX（20 m×0.18 mm，180 μm）气相色谱柱，优化程序升温条件，测定11批辛夷、细辛原料药材，利用SPSS聚类分析和中药色谱指纹图谱相似度评价系统（2004A版）建立辛夷药材指纹图谱，并通过Agilent 7890A-5975C气-质联用仪对共有峰进行指认。结果 通过11批样品的测定和SPSS聚类分析将10批辛夷药材聚为一类，并建立辛夷药材GC指纹图谱，相似度均在0.9以上，共得22个共有峰，其中归属至全方的成分为14个，药材独有成分8个；将10批细辛药材聚为一类，并建立细辛药材GC指纹图谱，相似度均在0.9以上，共得11个共有峰，其中归属至全方的成分为4个，药材独有成分为7个。结论 本方法专属性强、准确性高、重复性良好，可为辛夷、细辛药材的质量控制提供依据。

Objective To establish the fingerprint of Magnoliae Flos and Asari Radix et Rhizoma of Liujing Toutong Tablets (LTT), provide the basis for the evaluation of the quality of LTT. Methods Aglient DB-WAX (20 m×0.18 mm, 180 μm) gas chromatography column, select the appropriate temperature conditions, the determination of the 11 batch of Magnoliae Flos, Asari Radix et Rhizoma, the use of SPSS clustering analysis and chromatographic fingerprint evaluation system (2004A version) the establishment of Xinyi medicine fingerprints, and through the Agilent 7890A-5975C gas quality for instrument on the common peaks were identified. Results The 11 batches of samples were measured and SPSS cluster analysis of 10 batches of medicinal materials were clustered into one group, and the establishment of Xinyi medicine GC fingerprint, the similarity was more than 0.9, a total of 22 common peaks, which belongs to the whole party into 14 components, medicinal unique ingredients 8; 10 batches of Asarum medicinal materials were clustered into one group, and the establishment of Asarum GC fingerprint, the similarity was more than 0.9, a total of 11 common peaks, which belongs to the whole Party composition for 4, 7 for a particular component of medicinal materials. Conclusion This method has strong specificity, high accuracy, good repeatability, and provide the basis for quality control of Herba Magnoliae Flos and Asari Radix et Rhizoma.