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天麻饮片的HPLC指纹图谱鉴别
引用本文:麻印莲,肖永庆,耿立冬,张村,李丽,于定荣,顾雪竹. 天麻饮片的HPLC指纹图谱鉴别[J]. 中国实验方剂学杂志, 2011, 17(19): 104-107
作者姓名:麻印莲  肖永庆  耿立冬  张村  李丽  于定荣  顾雪竹
作者单位:中国中医科学院中药研究所,北京,100700
摘    要:目的:研究建立天麻饮片的HPLC指纹图谱鉴别方法。方法:选择HPLC-UV指纹图谱法,Kromasil C18柱;流动相乙腈-0.5%冰醋酸溶液线形梯度洗脱,检测波长270 nm,流速1.0 mL.min-1。以指纹图谱软件计算相似度和图谱比较,以聚类分析比较不同来源饮片的差异。结果:建立了天麻饮片的标准指纹图谱,6个产地共10批次天麻饮片的指纹图谱基本一致,共能检出15个共有峰,10个样品的平均相似度>98%,但相对峰面积有较大差异;聚类分析结果与饮片产地基本一致。结论:该方法重复性好,结合聚类分析可用于天麻饮片的定性鉴别,为天麻饮片的质量控制提供了科学依据。

关 键 词:天麻饮片  指纹图谱  鉴别
收稿时间:2011-05-30

HPLC Fingerprint Chromatograms for Processed Products of Gastrodia elata
MA Yin-lian,XIAO Yong-qing,GENG Li-dong,ZHANG Cun,LI Li,YU Ding-rong and GU Xue-zhu. HPLC Fingerprint Chromatograms for Processed Products of Gastrodia elata[J]. China Journal of Experimental Traditional Medical Formulae, 2011, 17(19): 104-107
Authors:MA Yin-lian  XIAO Yong-qing  GENG Li-dong  ZHANG Cun  LI Li  YU Ding-rong  GU Xue-zhu
Affiliation:Institute of Chinese Materia Madica, China Academy of Chinese Medicial Sciences, Beijing 100700, China;Institute of Chinese Materia Madica, China Academy of Chinese Medicial Sciences, Beijing 100700, China;Institute of Chinese Materia Madica, China Academy of Chinese Medicial Sciences, Beijing 100700, China;Institute of Chinese Materia Madica, China Academy of Chinese Medicial Sciences, Beijing 100700, China;Institute of Chinese Materia Madica, China Academy of Chinese Medicial Sciences, Beijing 100700, China;Institute of Chinese Materia Madica, China Academy of Chinese Medicial Sciences, Beijing 100700, China;Institute of Chinese Materia Madica, China Academy of Chinese Medicial Sciences, Beijing 100700, China
Abstract:Objective: To establish the HPLC fingerprint chromatogram identification of the processed products from Gastrodia elata . Method: HPLC procedure was performed on a chromatographic column of Kromasil C18. Acetonitrile-glacial acetic acid water solution(0.5%)was used as mobile phase by gradient elution, and the detection wavelength was at 270 nm. The mobile phase flow rate was at 1.0 mL·min-1. The similarity and the clustering analysis were carried out by fingerprint chromatogram software. Result: The standard HPLC Fingerprint chromatogram was established through the determination of 10 batches processed products from 6 different producing areas. 15 peaks can be detected and the average similarity was over 98% in 10 samples. The processed products were almost the same on the whole chromatograms but the relative peak areas had the differences. The cluster analysis was consistent with the processed origins. Conclusion: HPLC method can be used in quality control of G. elata .
Keywords:Gastrodia elata  HPLC fingerprint  identification.
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