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采用超高效液相色谱法和紫外可见指纹图谱法评估一种濒危药用植物的替代品。

Using UHPLC and UV-vis Fingerprint Method to Evaluate Substitutes for : An Endangered Medicinal Plant.

作者信息

Li Jie, Zhang Ji, Jin Hang, Wang Yuan-Zhong, Huang Heng-Yu

机构信息

College of Traditional Chinese Medicine, Yunnan University of Traditional Chinese Medicine, Kunming, China; Institute of Medicine Plants, Yunnan Academy of Agricultural Sciences, Kunming, China.

Institute of Medicine Plants, Yunnan Academy of Agricultural Sciences, Kunming, China; Yunnan Technical Center for Quality of Chinese Materia Medica, Kunming, China.

出版信息

Pharmacogn Mag. 2017 Jan-Mar;13(49):13-20. doi: 10.4103/0973-1296.197655.

Abstract

BACKGROUND

Millions of people are killed by viral hepatitis every year in the world, whereas many relevant medicines are too expensive to purchase. , a medicinal plant for hepatitis in the system of traditional Chinese medicine, has been vanishing gradually because of overexploitation.

OBJECTIVE

To find substitutes of and reduce the cost of purchasing drugs for hepatitis patients, the similarity of phytochemical constituents between and other three species was compared.

MATERIALS AND METHODS

Both ultra high performance liquid chromatographies and ultraviolet-vis fingerprints of four species were developed. Methanol extracts of the stems and leaves were used as samples to establish the fingerprint. The calibration curve was drawn for quantitative analysis of swertiamarin. The data of ultra high performance liquid chromatographies were evaluated statistically using similarity analysis and principal component analysis.

RESULTS

The result shows a significant difference at area of 204-290 nm in the ultraviolet fingerprint. Swertiamarin, the only one common peak, was defined in chromatographic fingerprints of four species. The quantitative analysis suggested that the highest concentration of swertiamarin is in . The similarity indexes between different samples were almost under 0.60. In the principal component analysis, separate points not only represent the distinction among different species, but also perform chemical discrepancies in content between stems and leaves of one same species.

CONCLUSIONS

, , and are not suitable as substitutes of because of their remarkable differences in entirety and local part. In order to address issues about substitutes and high cost of purchasing drugs, more studies need to undertake.

SUMMARY

The UHPLC fingerprint method indicated the significant difference on chemical ingredients in four plants from .Swertiamarin is the unique common compounds for four plants, which exist are in leaves of with the highest content.The obvious diversity in four plants was displayed from comprehensive point of view though similarity assay and PCA analysis.The UV fingerprint method offsets the defect that the UHPLC fingerprint reflected messages of secoiridoid glycosides only. UHPLC: Ultra high performance liquid chromatography, UV-vis: Ultraviolet-vis, HBV: Anti-hepatitis virus, DNA: Deoxyribonucleic acid, PCA: Principal component analysis, D-GaIN: D-Galactosamine, BCG: Bacille Calmette-Guerin, LPS: Lipopolysaccharide.

摘要

背景

全球每年有数百万人死于病毒性肝炎,而许多相关药物价格昂贵,难以购买。作为中药体系中治疗肝炎的药用植物,由于过度开发,已逐渐消失。

目的

为寻找[植物名称]的替代品,降低肝炎患者购药成本,比较[植物名称]与其他三种[植物名称]植物化学成分的相似性。

材料与方法

建立了四种[植物名称]植物的超高效液相色谱和紫外指纹图谱。以茎和叶的甲醇提取物为样品建立指纹图谱。绘制校准曲线用于獐牙菜苦苷的定量分析。采用相似度分析和主成分分析对超高效液相色谱数据进行统计评价。

结果

紫外指纹图谱在204 - 290nm区域有显著差异。獐牙菜苦苷是四种[植物名称]植物色谱指纹图谱中唯一的一个共有峰。定量分析表明,獐牙菜苦苷在[植物名称]中的含量最高。不同样品间的相似度指数几乎都在0.60以下。在主成分分析中,离散点不仅代表不同物种之间的差异,也表现出同一物种茎和叶在化学成分含量上的差异。

结论

[植物名称]、[植物名称]和[植物名称]因其整体和局部的显著差异,不适宜作为[植物名称]的替代品。为解决替代品及购药成本高的问题,还需进行更多研究。

总结

超高效液相色谱指纹图谱法表明四种[植物名称]植物在化学成分上存在显著差异。獐牙菜苦苷是四种植物唯一的共有化合物,在[植物名称]叶中含量最高。通过相似度测定和主成分分析从综合角度显示了四种植物的明显差异。紫外指纹图谱法弥补了超高效液相色谱指纹图谱仅反映裂环烯醚萜苷类信息的缺陷。 超高效液相色谱:Ultra high performance liquid chromatography,紫外可见:Ultraviolet-vis,乙肝病毒:Anti-hepatitis virus,脱氧核糖核酸:Deoxyribonucleic acid,主成分分析:Principal component analysis,D - 氨基半乳糖:D-Galactosamine,卡介苗:Bacille Calmette-Guerin,脂多糖:Lipopolysaccharide

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3716/5307897/8ead655ef426/PM-13-13-g001.jpg

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