Quantitative determination and evaluation of Paris polyphylla var. yunnanensis with different harvesting times using UPLC-UV-MS and FT-IR spectroscopy in combination with partial least squares discriminant analysis
文献类型： 外文期刊
作者： Yang, Yuan-Gui 1 ; Zhang, Ji 2 ; Zhao, Yan-Li 2 ; Zhang, Jin-Yu 2 ; Wang, Yuan-Zhong 2 ;
作者机构： 1.Yunnan Univ Tradit Chinese Med, Coll Tradit Chinese Med, Kunming, Peoples R China
2.Yunnan Acad Agr Sci, Inst Med Plants, Kunming 650200, Peoples R China
3.Yunnan Tech Ctr Qual Chinese Mat Med, Kunming, Peoples R China
关键词： FT-IR;harvesting time;Paris polyphylla var. yunnanensis;partial least squares discriminant analysis;UPLC-UV-MS
期刊名称：BIOMEDICAL CHROMATOGRAPHY （ 影响因子：1.902； 五年影响因子：1.809 ）
ISSN：
年卷期：
页码：
收录情况： SCI
摘要： A rapid method was developed and validated by ultra-performance liquid chromatography-triple quadrupole mass spectroscopy with ultraviolet detection (UPLC-UV-MS) for simultaneous determination of paris saponin I, paris saponin II, paris saponin VI and paris saponin VII. Partial least squares discriminant analysis (PLS-DA) based on UPLC and Fourier transform infrared (FT-IR) spectroscopy was employed to evaluate Paris polyphylla var. yunnanensis (PPY) at different harvesting times. Quantitative determination implied that the various contents of bioactive compounds with different harvesting times may lead to different pharmacological effects; the average content of total saponins for PPY harvested at 8years was higher than that from other samples. The PLS-DA of FT-IR spectra had a better performance than that of UPLC for discrimination of PPY from different harvesting times.
- 相关文献
作者其他论文 更多>>
-
Based on metabolomics and fourier transforms near infrared spectroscopy characterization of Lanxangia tsaoko chemical profile differences among fruit types and development of rapid identification and nutrient prediction models
作者：Fu, Deng-Ke;Yang, Wei-Ze;Yang, Mei-Quan;Yang, Tian-Mei;Wang, Yuan-Zhong;Zhang, Jin-Yu;Fu, Deng-Ke
关键词：Lanxangia tsao-ko; Phenotype; Metabolic differences; 2DCOS; ResNet; PLSR
-
FT-NIR Spectra of Different Dimensions Combined with Machine Learning and Image Recognition for Origin Identification: An Example of Panax notoginseng
作者：Zuo, Zhi-Tian;Yao, Zeng-Yu;Zuo, Zhi-Tian;Wang, Yuan-Zhong
关键词：
-
Application of ATR-FTIR Spectrum Combined With Ensemble Learning and Deep Learning for Identification of Amomum tsao-ko at Different Drying Temperatures
作者：He, Gang;Yang, Shao-bing;Wang, Yuan-zhong;He, Gang
关键词：Amomum tsao-ko; deep learning; drying temperatures; ensemble learning; machine learning
-
Spatial and temporal distribution characteristics of Paris polyphylla var. yunnanensis and the prediction of steroidal saponins content
作者：Zhong, Chen;Li, Li;Zhong, Chen;Wang, Yuan-Zhong
关键词：Paris polyphylla var. yunnanensis; Habitat suitability; FT-IR spectroscopy; Chemometrics; Steroidal saponins
-
Rapid Authentication of Dendrobium Species Using Attenuated Total Reflectance Fourier Transform Infrared (ATR-FTIR) and Fourier Transform Near-Infrared (FT-NIR) Spectroscopies with Orthogonal Partial Least Squares-Discriminant Analysis (OPLS-DA)
作者：Zhao, Yanli;Qian, Zhilong;Li, Xiaoyang;Yang, Ruining;Ma, Weisi;Zhang, Ji;Yang, Bin;Zhao, Yanli;Qian, Zhilong;Li, Xiaoyang;Yang, Ruining;Ma, Weisi;Zhang, Ji;Yang, Bin;Li, Zesheng;Li, Guilin;Yuan, Tianjun
关键词：Attenuated total reflectance Fourier transform infrared (ATR-FTIR) spectroscopy; data fusion;
Dendrobium ; Fourier transform near-infrared (FT-NIR) spectroscopy; orthogonal partial least squares - discriminant analysis (OPLS-DA) -
Health benefits of selenium through the consumption of fresh wild macromycetes from Dali, Yunnan, China
作者：Hanc, Anetta;Zhang, Ji;Fernandes, Alwyn R.;Falandysz, Jerzy
关键词：Boletaceae; Edible wild mushrooms; Foods; Selenium health benefit value; Stir-frying effect; Selenium deficit; Mercury
-
A rapid method for identification of Lanxangia tsaoko origin and fruit shape: FT-NIR combined with chemometrics and image recognition
作者：He, Gang;Yang, Shao-bing;Wang, Yuan-zhong;He, Gang;Yang, Shao-bing;Wang, Yuan-zhong
关键词：chemometrics; classification; Fourier transform-near infrared spectroscopy; image recognition; Lanxangia tsaoko
