不同产地半夏指纹图谱的建立及化学模式识别研究

Establishment of Pinellia ternata fingerprints from different origins and research on chemical pattern recognition

关键词:  指纹图谱  半夏  化学模式识别  聚类分析  质量评价

Key words:  fingerprint  Pinellia ternata  chemical pattern recognition  cluster analysis  quality evaluation

摘要:

[目的] 建立半夏药材超高效液相色谱（UPLC）指纹图谱，结合化学模式识别筛选差异性标志成分。[方法] 采用ACQUITY UPLC HSS T3柱（2.1 mm×100 mm，1.8 μm），流动相为0.1%磷酸水-乙腈，梯度洗脱，流速为0.2 mL/min，进样体积为10 μL，柱温为32 °C，检测波长为260 nm。采用相似度评价和化学模式识别相结合的方法对其进行分析。[结果] 在18批半夏UPLC指纹图谱中指认出15个共有峰，其中16批样品相似度均大于0.877，其余2批分别为0.606、0.778。聚类分析结果显示不同产地的半夏分为两大类，主成分分析和聚类分析结果一致，采用正交偏最小二乘-判别分析筛选出6个差异性标志成分，通过对照品指认出3个成分（胞苷、次黄嘌呤、鸟苷）。[结论] 建立的指纹图谱方法稳定、可靠、重复性好，结合化学模式识别，可为半夏质量评价提供参考。

Abstract:

[Objective] To establish the UPLC fingerprint of Pinellia ternata,combined with chemical pattern recognition to screen the differential markers. [Methods] An ACQUITY UPLC HSS T3 column (2.1 mm×100 mm,1.8 μm) was used,the mobile phase was 0.1% aqueous phosphoric acid-acetonitrile,gradient elution,the flow rate was 0.2 mL/min,the injection volume was 10 μL,and the column temperature was 32℃,the detection wavelength is 260 nm. It was analyzed by a combination of similarity evaluation and chemical pattern recognition. [Results] Fifteen common peaks were identified from 18 batches of Pinellia ternata UPLC fingerprints,of which 16 batches of samples had similarities greater than 0.877,and the remaining 2 batches were 0.606 and 0.778 respectively,by cluster analysis,Pinellia ternata from different origins were divided into two categories. The results of principal component analysis and cluster analysis were consistent. The orthogonal partial least squares-discriminant analysis was used to screen out 6 differential markers,and three components (cytidine,hypoxanthine,guanosine) were identified by the reference substance. [Conclusion] The established fingerprint method is stable,reliable and repeatable. Combined with chemical pattern recognition,it can provide reference for quality evaluation of Pinellia ternata.