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采用 HPLC 和 FT-IR 光谱法研究含环烯醚萜类化合物的药用植物治疗肝病的案例报告。

Investigation of a Medical Plant for Hepatic Diseases with Secoiridoids Using HPLC and FT-IR Spectroscopy for a Case of .

机构信息

Institute of Medicinal Plants, Yunnan Academy of Agricultural Sciences, Kunming 650200, China.

Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.

出版信息

Molecules. 2020 Mar 9;25(5):1219. doi: 10.3390/molecules25051219.

DOI:10.3390/molecules25051219
PMID:32182739
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7179471/
Abstract

Secoiridoids could be used as a potential new drug for the treatment of hepatic disease. The content of secoiridoids of varied in different geographical origins and parts. In this study, a total of 783 samples collected from different parts of in Yunnan, Sichuan, and Guizhou Provinces. The content of secoiridoids including gentiopicroside, swertiamarin, and sweroside were determined by using HPLC and analyzed by one-way analysis of variance. Two selected variables including direct selected and variable importance in projection combined with partial least squares regression have been used to establish a method for the determination of secoiridoids using FT-IR spectroscopy. In addition, different pretreatments including multiplicative scatter correction (MSC), standard normal variate (SNV), first derivative and second derivative (SD), and orthogonal signal correction (OSC) were compared. The results indicated that the sample (root, stem, and leaf) with total secoiridoids, gentiopicroside, swertiamarin, and sweroside from west Yunnan had higher content than samples from the other regions. The sample from Baoshan had more total secoiridoids than other samples for the whole medicinal plant. The best performance using FT-IR for the total secoiridoid was with the direct selected variable method involving pretreatment of MSC+OSC+SD in the root and stem, while in leaf, of the best method involved using original data with MSC+OSC+SD. This method could be used to determine the bioactive compounds quickly for herbal medicines.

摘要

环烯醚萜类化合物可作为治疗肝病的潜在新药。不同地理来源和部位的环烯醚萜类化合物含量不同。本研究共采集了云南、四川和贵州三省不同部位的 783 个样品。采用 HPLC 法测定了样品中龙胆苦苷、当药苦苷和獐牙菜苦苷的含量,并采用单因素方差分析进行了分析。本研究采用直接选择变量和投影变量重要性与偏最小二乘回归相结合的方法,建立了傅里叶变换红外光谱法(FT-IR)测定环烯醚萜类化合物的方法。此外,比较了不同预处理方法,包括乘法散射校正(MSC)、标准正态变量(SNV)、一阶导数和二阶导数(SD)和正交信号校正(OSC)。结果表明,来自滇西的根、茎、叶总环烯醚萜类、龙胆苦苷、当药苦苷和獐牙菜苦苷含量均高于其他地区的样品。保山地区的全草总环烯醚萜类含量最高。对于整个药用植物,FT-IR 测定总环烯醚萜类化合物的最佳性能是直接选择变量方法,涉及根和茎的 MSC+OSC+SD 预处理,而在叶片中,最佳方法涉及使用 MSC+OSC+SD 的原始数据。该方法可用于快速测定中草药中的生物活性化合物。

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