目的 建立生脈顆粒HPLC指紋圖譜和化學(xué)模式識別方法評價(jià)其質(zhì)量。方法 采用HPLC法建立10批生脈顆粒的指紋圖譜，計(jì)算相似度，確定共有峰，進(jìn)行層次聚類分析和主成分分析，并結(jié)合正交偏最小二乘-判別分析進(jìn)行模式識別，篩選影響生脈顆粒質(zhì)量的差異性成分。結(jié)果 確定了16個(gè)共有峰，指認(rèn)了5個(gè)色譜峰，各批次相似度均大于0.940。10批生脈顆粒樣品分為3類，3個(gè)主成分的累積方差貢獻(xiàn)率為93.481%；6個(gè)峰所對應(yīng)的成分可能是導(dǎo)致不同批次之間生脈顆粒樣品質(zhì)量差異的主要標(biāo)志物。結(jié)論 建立的HPLC指紋圖譜與化學(xué)模式識別方法相結(jié)合可對生脈顆粒的質(zhì)量進(jìn)行綜合評價(jià)。

Objective To establish an HPLC fingerprint of Shengmai Granules combined with the chemical pattern recognition method to evaluate quality. Methods HPLC fingerprints of 10 batches of Shengmai Granules were established. The similarity was calculated and the common peaks were confirmed, and the hierarchical clustering analysis (HCA) and principal component analysis (PCA) were carried out. The chemical pattern recognition was carried out by orthogonal partial least squares-discriminant analysis (OPLS-DA) method. The differential components in Shengmai Granules quality were screened. Results There were 16 common peaks of HPLC fingerprint of Shengmai Granules, and five components were identified. The similarities of Shengmai Granules were greater than 0.940. 10 Batches of Shengmai Granules were divided into three categories and the cumulative variance contribution rate of the three principal components was 93.481%. Six common peaks were the main bioactive markers causing differences in the quality of different batches of Shengmai Granules. Conclusion The established method of HPLC fingerprint combined with the chemical pattern recognition method can be used for the systemic evaluation of quality of Shengmai Granules.

R286.02

陜西省科技廳古代經(jīng)典名方研究與開發(fā)創(chuàng)新團(tuán)隊(duì)項(xiàng)目（2022TD-50）；陜西省中醫(yī)藥管理局重點(diǎn)研究項(xiàng)目（2023-010）