新疆桃仁HPLC-UV指纹图谱研究及在地区分类中的应用

Quality assessment and classification of Persicae Semen based on HPLC-UV fingerprint

该研究建立了新疆桃仁HPLC-UV指纹图谱测定方法,方法采用Shimadzu Inertsil C18(4.6 mm×250 mm,5μm)色谱柱,以水-乙腈线性梯度洗脱,流速1.0 mL·min-1,柱温35℃,检测波长210 nm。指纹图谱中的9个色谱峰利用UPLC-QTOF-MS得到了指认,对41批样品指纹图谱进行聚类分析(HCA)、偏最小二乘法判别分析(PLS-DA)和相似度分析(SA),新疆桃仁可分为2类,其中6个成分为分类标志物。所建立指纹图谱方法简便、稳定、可行,可用于新疆桃仁的质量控制及分类。

Persicae Semen （PS） , a traditional Chinese medicine, has been widely used for the syndrome of blood stasis in China since the Eastern Han Dynasty. In the present study, we developed an HPLC-UV fingerprint analysis method for the quality control of PS. The HPLC fingerprint was performed on Shimadzu Inertsil Cls column （4. 6 mm × 250 mm, 5 μm） at 35 ℃. The mobile phases were composed of acetonitrile and water using a gradient elution. The flow rate was 1.0 mL . min^-1, and the detection wavelength was set at 210 nm. The fingerprint method was validated according to the Guidelines for Traditional Chinese Medicine Injection Fingerprint, and applied to determine 41 batches representative herbs collected from Xinjiang of China. The chromatographic peaks were character- ized by UPLC-Q-TOF-MS, and nine of them were identified by comparison with the literature and/or reference standards. In order to classify and assess the samples, hierarchical clustering analysis and partial least square discriminant analysis were performed based on the common chromatographic peaks, and the samples were geographically classified into two classes, with six chemical compounds as classification markers which were significantly different between the two classes （P 〈 0. 05）.