HPLC Fingerprint for Oligosaccharide Site Unprocessed Rehmanniae Radix

ZHANF Jie; LIU Jiong; ZHANG Meng; YU Lei; YANG Yun

doi:10.13422/j.cnki.syfjx.2014220041

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HPLC Fingerprint for Oligosaccharide Site Unprocessed Rehmanniae Radix

更新时间：2024-01-04

- HPLC Fingerprint for Oligosaccharide Site Unprocessed Rehmanniae Radix
- Chinese Journal of Experimental Traditional Medical Formulae Vol. 20, Issue 22, Pages: 41-44(2014)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.13422/j.cnki.syfjx.2014220041
  CLC： R284.1
- Published：2014
- 稿件说明：
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ZHANF Jie, LIU Jiong, ZHANG Meng, et al. HPLC Fingerprint for Oligosaccharide Site Unprocessed Rehmanniae Radix[J]. Chinese journal of experimental traditional medical formulae, 2014, 20(22): 41-44.
DOI：

ZHANF Jie, LIU Jiong, ZHANG Meng, et al. HPLC Fingerprint for Oligosaccharide Site Unprocessed Rehmanniae Radix[J]. Chinese journal of experimental traditional medical formulae, 2014, 20(22): 41-44. DOI： 10.13422/j.cnki.syfjx.2014220041.

摘要

目的: 确定生地黄的低聚糖部位HPLC指纹图谱的测定方法

为道地产区生地黄以低聚糖类成分为指标的内在质量控制提供参考.方法: Agilent Zorbax NH2色谱柱(4.6 mm×250 mm

5 μm)

流动相乙腈-水梯度洗脱

流速1.0 mL ·min-1

柱温30 ℃

进样量20 μL

检测器ELSD

漂移管温度90 ℃

氮气流速3.0 L ·min-1

增益量10

采用聚类分析和相似度分析对指纹图谱进行化学模式识别.结果: 13批生地黄低聚糖成分的各个色谱峰都得到了有效分离

确定了12个峰的特征指纹图谱

指认了其中的6个峰

样品分为了两类.结论: 建立的HPLC指纹图谱可为生地黄以糖类成分为指标的内在质量控制提供依据.

Abstract

Objective:The aim of this paper was to study the HPLC fingerprint for oligosaccharides site in Rehmanniae Radix

and to provide reference for Rehmanniae Radix of the quality control according to the oligosaccharide composition. Method: Analysis was performed on an Agilent Zorbax NH2 column(4.6 mm×250 mm

5 μm)

with the acetonitrile-water as mobile phase in gradient elution mode. The flow rate was set at 1.0 mL ·min-1. The column temperature was maintained at 30 ℃. The injection volume was 20 μL. The detector was ELSD

drift tube temperature was set at 90 ℃

nitrogen flow rate was set at 3.0 L · min-1

and the gain volume was 10.Cluster analysis and principal component analysis were used to fingerprint pattern recognition. Result: Various peaks of thirteen batches of samples have been separated

and 12 peaks were identified as characteristic fingerprints in which six peaks were defined. And samples were divided into two categories. Conclusion: The established HPLC fingerprint can provide the basis for the quality control of Rehmanniae Radix.

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