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罗布麻叶总黄酮的高效液相色谱指纹图谱

[HPLC fingerprint of total flavonoids of Folium Apocyni Veneti].

作者信息

Hao Xu-liang, Zhang Su-qiong, Wang Xiao-jian, Li Qing-shan

机构信息

School of Pharmaceutical Science, Shanxi Medical University, Taiyuan 030001, China.

出版信息

Zhongguo Zhong Yao Za Zhi. 2008 Aug;33(16):1968-71.

PMID:19086630
Abstract

OBJECTIVE

To establish a sensitive and specific HPLC fingerprint for the quality controlling of total flavonoids of Folium Apocyni Veneti.

METHOD

HPlC analysis was performed on a Kromasil C18 column (4.6 mm x 250 mm, 5 microm) with the mixture of solvent A [acetonitrile-phosphoric acid (95:5)] and solvent B (0.05% phosphoric acid) in gradient mode at a flow rate of 1.0 mL x min(-1). The detection wavelength was set at 360 nm. The column temperature was set at 25 degrees C and the injection volume was 20 microL.

RESULT

The chromatographic fingerprint of total flavonoids was established which showed 17 characteristic peaks from 7 patches of total flavonoids products. The similarity from different patches was 0.95-1.00 analyzed by the software of 'Computer-aided Similarity Evaluation' and showed high similitude in peak numbers and the retention time. Moreover, comparison of the HPLC profiles of the total flavonoids with the corresponding Folium Apocyni Veneti leaves indicated that they were closely related to each other.

CONCLUSION

The chromatographic fingerprint of the total flavonoids with high specificity and can be used to control its quality and assure the homogenicity for each patch of the total flavonoids.

摘要

目的

建立罗布麻叶总黄酮质量控制的灵敏且特异的高效液相色谱指纹图谱。

方法

采用Kromasil C18柱(4.6 mm×250 mm,5μm)进行高效液相色谱分析,以溶剂A[乙腈-磷酸(95:5)]和溶剂B(0.05%磷酸)的混合溶液为流动相,梯度洗脱,流速为1.0 mL·min⁻¹。检测波长设定为360 nm。柱温设定为25℃,进样量为20μL。

结果

建立了罗布麻叶总黄酮的色谱指纹图谱,7批总黄酮产品共显示出17个特征峰。采用“计算机辅助相似度评价”软件分析,不同批次产品的相似度为0.95 - 1.00,峰数和保留时间相似度较高。此外,总黄酮的高效液相色谱图谱与相应的罗布麻叶比较表明,二者密切相关。

结论

所建立的总黄酮色谱指纹图谱特异性高,可用于控制其质量并确保各批次总黄酮的一致性。

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引用本文的文献

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A strategy for quality evaluation of salt-treated Apocyni Veneti Folium and discovery of efficacy-associated markers by fingerprint-activity relationship modeling.盐炙通光散质量评价策略及基于指纹-活性关系模型的药效标志物发现。
Sci Rep. 2019 Nov 13;9(1):16666. doi: 10.1038/s41598-019-52963-3.