基于UPLC指纹图谱、灰色关联度分析及化学模式识别的土茯苓质量评价研究

Study on the quality evaluation of Smilax glabra Roxb.based on UPLC fingerprint,grey correlation analysis,and chemical pattern recognition

目的建立土茯苓药材质量评价方法。方法采用超高效液相色谱(UPLC)指纹图谱分析并评价不同批次图谱相似度,建立落新妇苷含量测定方法,检测土茯苓水分、醇浸出物和水浸出物的含量。结果土茯苓UPLC指纹图谱标定8个共有峰并指认其中5个成分;落新妇苷含量为2.024~202.355μg/ml线性关系良好,平均加样回收率为99.35%,RSD为0.57%。灰色关联分析显示(淡)红棕色土茯苓质量较优;聚类分析将(淡)红棕色土茯苓聚为第一类,其余类白色土茯苓聚为第二类;正交偏最小二乘判别分析根据重要性投影值筛选出标志物为落新妇苷、醇浸出物和水分。结论该方法能有效分析不同颜色土茯苓药材质量差异,对土茯苓药材质量评价提供参考。

Objective To establish a quality evaluation method for Smilax glabra Roxb.Methods Similarities for various batches were evaluated based on ultra performance liquid chromatography(UPLC)fingerprint chromatography.The detection method for astilbin was set up,with contents of moisture,ethanol-based extractives,and water-based extractives of Smilax glabra Roxb.being detected as well.Results A total of eight common peaks were demarcated in UPLC fingerprint of Smilax glabra Roxb.,five of which were identified.The astilbin content exhibited good linearity was 2.024-202.355μg/ml,the average recovery was 99.35%,and the RSD value was 0.573%.Grey correlation analysis showed that the quality of(light)red brown poria was better.By clustering analysis,the(light)red-brown Tuckahoe was classified as the first group,and the other white Tuckahoe was classified as the second group;according to the importance projection value,the markers were selected as astilbin,alcohol extract and water by orthogonal partial least square discriminant analysis.Conclusion This method can effectively differentiate between qualities of different colors and provide quality evaluation basis for Smilax glabra Roxb.