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.
- 相关文献
作者其他论文 更多>>
-
Rapid determination of geographical authenticity of Gastrodia elata f. glauca using Fourier transform infrared spectroscopy and deep learning
作者：Deng, Guangmei;Li, Jieqing;Deng, Guangmei;Wang, Yuanzhong;Liu, Honggao
关键词：Gastrodia elata f. glauca; Fourier transform infrared spectroscopy; Deep learning; Data driven version of soft independent; modeling of class analogy
-
Rapid prediction of nucleosides content and origin traceability of Boletus bainiugan using Fourier transform near-infrared spectroscopy combined with chemometrics
作者：Deng, Guangmei;Li, Jieqing;Deng, Guangmei;Wang, Yuanzhong;Liu, Honggao
关键词：Fourier transform near-infrared spectroscopy; Nucleoside compounds; Climatic factors; Two-dimensional correlation spectroscopy; Residual neural networks
-
Predicting the suitable habitat distribution of Polygonatum kingianum under current and future climate scenarios in southwestern Yunnan, China
作者：Hu, Xiaoyan;Yang, Shaobing;Li, Zhimin;Wang, Yuanzhong;Hu, Xiaoyan
关键词：Polygonatum kingianum; Maximum entropy model; Species distribution; Suitable habitat; Geographical traceability
-
Geographical origin identification of Dendrobium Officinale based on FT-NIR and ATR-FTIR spectroscopy
作者：Han, Jiaqi;Hu, Qiang;Wang, Yuanzhong
关键词：Spectral analysis; Data fusion; Two-dimensional correlation spectroscopy; The residual convolutional neural network; Dendrobium officinale Kimura & Migo
-
Classification of bolete species and drying temperature using LC-MS and infrared spectroscopy and simultaneous prediction of their major compounds using chemometrics
作者：Zheng, Chuanmao;Li, Jieqing;Zheng, Chuanmao;Wang, Yuanzhong;Liu, Honggao
关键词：Boletes; Organic acids; Postharvest drying; Species identification; Quality assessment
-
Infrared spectroscopy combined with machine learning: A fast method for origin tracing and dry matter content prediction of Dendrobium officinale Kimura et Migo
作者：Feng, Yangna;Feng, Yangna;Yang, Shaobing;Wang, Yuanzhong
关键词：FT-NIR; ATR-FTIR; Dendrobium officinal; Prediction; Origin tracing
-
Prediction of pyrazines and identification of flavor intensity in boletus bainiugan at different drying temperatures based on feature variables
作者：Deng, Guangmei;Li, Jieqing;Deng, Guangmei;Wang, Yuanzhong;Liu, Honggao
关键词：Boletus bainiugan; Fourier transform near infrared spectroscopy; Attenuated total reflectance Fourier transform; infrared spectroscopy; Data fusion; Volatile compounds
