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

文献类型: 外文期刊

作者: Yang, Yuangui 1 ; Zhao, Yanli 1 ; Zuo, Zhitian 1 ; Zhang, Ji 1 ; Shi, Yao 1 ; Wang, Yuanzhong 1 ;

作者机构: 1.Yunnan Acad Agr Sci, Inst Med Plants, Kunming 650200, Yunnan, Peoples R China

2.Shanghai Univ Tradit Chinese Med, Inst Chinese Mat Med, Shanghai 201203, Peoples R China

关键词: hepatic diseases; secoiridoids; G; rigenscens; HPLC; FT-IR; PLSR

期刊名称:MOLECULES ( 影响因子:4.411; 五年影响因子:4.587 )

ISSN:

年卷期: 2020 年 25 卷 5 期

页码:

收录情况: SCI

摘要: Secoiridoids could be used as a potential new drug for the treatment of hepatic disease. The content of secoiridoids of G. rigescens varied in different geographical origins and parts. In this study, a total of 783 samples collected from different parts of G. rigescens 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.

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