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采用高效液相色谱-二极管阵列检测法对不同产地黄柏中的生物碱和柠檬苦素进行指纹图谱分析及同时测定。

Fingerprinting and simultaneous determination of alkaloids and limonins in Phellodendri amurensis cortex from different locations by high-performance liquid chromatography with diode array detection.

作者信息

Wang Lihong, Yan Guangli, Zhang Aihua, Shi Hui, Sun Hui, Wang Xijun

机构信息

National TCM Key Lab of Serum Pharmacochemistry, Key Lab of Metabolomics and Chinmedomics, Heilongjiang University of Chinese Medicine, Heping Road 24, Harbin 150040, China.

National TCM Key Lab of Serum Pharmacochemistry, Key Lab of Metabolomics and Chinmedomics, Heilongjiang University of Chinese Medicine, Heping Road 24, Harbin 150040, China

出版信息

J Chromatogr Sci. 2015 Jan;53(1):161-6. doi: 10.1093/chromsci/bmu034. Epub 2014 May 28.

Abstract

A sensitive high-performance liquid chromatography method coupled with diode array detection (HPLC-DAD) was developed for the quality control of Phellodendri amurensis cortex (PAC), the quality control included the simultaneous determination of seven major constituents, namely phellodendrine, magnoflorine, jatrorrhizine, palmatine, berberine, obaculactone and obacunone. The chromatographic separation was accomplished on a Diamonsil-C18 column (4.6 mm × 200 mm, 5 μm) with acetonitrile and 0.1% phosphoric acid (0.02 mol sodium dihydrogen phosphate per liter) by linear gradient elution. The established method was successfully validated by acceptable linearity, limits of detection and quantitation, precision, repeatability, stability and accuracy. The HPLC-DAD fingerprint chromatograph under 220 nm consisting of 21 peaks was constructed for the evaluation of the 11 batches of PAC. The HPLC fingerprints were analyzed by similarity analysis, hierarchical clustering analysis and principal component analysis. The results indicated that the combination of multicomponent determination method and chromatographic fingerprint analysis could be employed for the quantitative analysis and identification of PAC, as well as pharmaceutical products containing this herbal material.

摘要

建立了一种灵敏的高效液相色谱法结合二极管阵列检测(HPLC-DAD)用于黄柏(PAC)的质量控制,该质量控制包括同时测定七种主要成分,即黄柏碱、木兰碱、药根碱、巴马汀、小檗碱、奥巴库内酯和奥巴库酮。色谱分离在Diamonsil-C18柱(4.6 mm×200 mm,5μm)上进行,以乙腈和0.1%磷酸(每升含0.02 mol磷酸二氢钠)进行线性梯度洗脱。所建立的方法通过可接受的线性、检测限和定量限、精密度、重复性、稳定性和准确性成功得到验证。构建了220 nm下由21个峰组成的HPLC-DAD指纹图谱用于评价11批黄柏。通过相似度分析、层次聚类分析和主成分分析对HPLC指纹图谱进行分析。结果表明,多成分测定方法与色谱指纹图谱分析相结合可用于黄柏以及含有该药材的药品的定量分析和鉴定。

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