[关键词]
[摘要]
目的 通过指纹图谱结合化学计量学方法对白及Bletilla striata与黄花白及Bletilla ochracea进行辨识研究。方法 采用Shim-pack GIST C18-AQ（250 mm×4.6 mm，5mm）色谱柱，流动相为0.1%磷酸水溶液-乙腈梯度洗脱，检测波长280 nm；体积流量1.0 mL/min；柱温30℃；进样量10 mL。采用ChemPatternTM软件对白及、黄花白及的指纹图谱数据进行分析，并对其进行相似度评价；采用SIMCA14.1软件进行主成分分析（principal component analysis，PCA）、偏最小二乘判别分析（partial least squares discriminant analysis，PLS-DA），对二者进行定性辨识研究。结果 在相似度分析中，45批白及的相似度为0.74～0.97，相似度较好，29批黄花白及的相似度为0.44～0.83，部分黄花白及与白及较为相似；聚类分析与PCA分析结果较为一致，部分样品可分为2类；PLS-DA分析分类效果显著，模型参数Q2为0.80，R2Y为0.85，完全能将两者区分开。通过PLS-DA分析结合VIP值筛选出了影响白及与黄花白及质量差异的8个共有峰，对这8个共有峰进行分析，二者之间除15号峰（militarine）峰面积没有显著性差异外（P>0.05），其余7个共有峰峰面积白及均显著小于黄花白及（P<0.01）。结论 HPLC指纹图谱结合化学计量学方法能够实现白及与黄花白及的鉴别，可为白及饮片的质量辨识提供参考。
[Key word]
[Abstract]
Objective To identificate Baiji (Bletilla striata(Thunb.) Reichb. f.) and Huanghuabaiji (Bletilla ochracea Schltr.) by fingerprint combined with chemometrics method. Methods Shim-pack GIST C18-AQ (250 mm x4.6 mm, 5 mm) column was used. The mobile phase was 0.1 % phosphoric acid-acetonitrile. The detection wavelength was 280 nm. Flow rate was 1.0 mL/min. Column temperature was 30 ℃. Injection volume was 10 μL. ChemPatternTM software was used to analyze the fingerprint data of B. striata and B. ochracea, and the similarity was evaluated. SIMCA14.1 software was used for principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) to study the qualitative identification of the two. Results In the similarity analysis, the similarity of 45 batches of B. striata was 0.74—0.97, and the similarity was good. The similarity of 29 batches of B. ochracea was 0.44—0.83, and some B. striata were similar to B. ochracea. The results of principal component analysis and cluster analysis were consistent, and most samples could be divided into two categories. The partial least squares discriminant analysis had obvious classification effect, and the model parameters Q2 and R2Y were 0.80, 0.85, respectively, which can distinguish the two. Eight common peaks affecting the quality difference of B. striata and B. ochracea were screened by PLS-DA analysis combined with VIP value, and the eight common peaks were analyzed. Except for the peak area of peak 15 (militarine), there was no significant difference between them (P＞0.05), the area of seven common peaks of B. striata was significantly smaller than that of B. ochracea (P＜0.01). Conclusion HPLC fingerprint combined with chemometrics method can realize the identification of B. striata and B. ochracea, which can provide reference for the quality identification of B. striata decoction pieces.
[中图分类号]
R286.2
[基金项目]
国家自然科学基金项目（81773892）；国家重点研发计划中医药现代化重点专项（2017YFC1703400）；河南省卫生健康委员会国家中医临床研究基地科研专项课题（2021JDZY104）；河南省中医药拔尖人才培养项目（重点项目）（2019ZYBJ07）；河南省高层次人才特殊支持“中原千人计划”——“中原青年拔尖人才”项目（ZYQR201912158）；河南省卫生健康中青年学科带头人专项（HNSWJW-2020014）；河南省科技攻关项目（222102310377）
