黄芩药材UPLC-MS特征指纹图谱研究

Studies on UPLC-MS Characteristic Fingerprint of Scutellaria baicalensis

摘要:

目的: 建立黄芩药材UPLC-MS特征指纹图谱分析方法,为黄芩药材的整体质量控制提供更为有效的评价方法。 方法: 采用70%甲醇和甲醇两步提取的方法制备黄芩药材供试品溶液,应用UPLC-ESI-TOF/MS联用技术进行检测,采集10个产地黄芩药材的色谱图,根据保留时间和分子离子m/z确定共有峰,创建提取离子色谱图用以计算峰面积,利用相关系数法和夹角余弦法计算相对峰面积的相似度。 结果: 确定了黄芩药材的23个共有峰,建立了这23个共有峰为特征指纹信息的黄芩药材UPLC-MS指纹图谱,10个产地样品的指纹图谱整体相似度>0.9,各产地黄芩药材之间相似度良好。 结论: 该方法准确可靠,重复性好,可用于黄芩药材的整体质量评价。

Abstract:

Objective:To establish the analytical method for characteristic fingerprint of Scutellaria baicalensis by UPLC-MS, which can be used as a more effective method for its quality assessment. Method: Samples from 10 habitats were extracted in turn by 70% methanol and 100% methanol, and the combined solution was analyzed by UPL-ESI-TOF/MS to acquire their chromatograms. The common peaks were selected according to the retention time and the m/z value of molecular ion, and the peak area was calculated in the corresponding extracted ion chromatogram. Finally the similarity of the relative peak area was calculated by the correlation coefficient and the cosine value of vectorial angle. Result: Twenty three common peaks were selected to establish the UPLC-MS characteristic fingerprint of S. baicalensis. The samples of S. baicalensis from 10 habitats had a good similarity more than 0.9. Conclusion: The UPLC-MS characteristic fingerprint of S. baicalensis is accuracy and reproducible, and the method can be applied to the quality assessment of S. baicalensis.