高效液相色譜與化學統計學分類技術相結合鑒別黃耆與其混淆品並以層析質譜術定量   全文下載

Discriminating Astragali Radix from Its Adulterants Using HPLC Coupled with Chemometric Clustering Techniques

本研究開發了一種簡便的高效液相色譜結合主成分分析（PCA）和系統聚類分析（HCA）技術鑒別黃耆與其混淆品的方法。應用上述方法，對 5個品種的樣品，包括蒙古黃耆、膜莢黃耆、紅耆、金翼黃耆和梭果黃耆進行區分。同時，對不同品種的黃耆樣品中主要的四個異黃酮類成分 – 毛蕊異黃酮?、芒柄花?、毛蕊異黃酮及芒柄花素的含量進行測定和比較。實驗證明，該方法有良好的線性關係、精密度、重複性、穩定性和回收率。本方法能有效的區分黃耆與其混淆品種，可用於黃耆的品質控制。

A simple high-performance liquid chromatography (HPLC) method coupled with principal component analysis (PCA) and hierar-chical cluster analysis (HCA) was developed for distinguishing Astragali Radix from its adulterants. Five species, including A. membra-naceus var. mongolicus, A. membranaceus, H. polybotrys, A. chrysopterus and A. ernestii, were analyzed by this method. At the same time, four major bioactive isoflavonoids, namely calycosin-7-O-D-glucopyranoside, ononin, calycosin and formononetin, were simul-taneously determined in Astragali Radix. This method was proven to have good precision, repeatability, stability and recovery. It was successfully applied to distinguish Astragali Radix from its adulterants species and can be used for the quality control of Astragali Radix.