Predicting the grades of Astragali radix using mass spectrometry-based metabolomics and machine learning

Predicting the grades of Astragali radix using mass spectrometry-based metabolomics and machine learning

Astragali radix (AR, the dried root of Astragalus) is a popular herbal remedy in both China and the United States. The commercially available AR is commonly classified into premium graded (PG) and ungraded (UG) ones only according to the appearance. To uncover novel sensitive and specific markers fo...

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Bibliographic Details
Main Authors: Deng, X. (Author), Guo, H. (Author), Hua, Y. (Author), Huang, Y. (Author), Nai, J. (Author), Tian, Y. (Author), Xu, F. (Author), Yang, X. (Author), Yu, X. (Author), Yuan, X. (Author), Zhang, Z. (Author)
Format: Article
Language:English
Published: Xi'an Jiaotong University 2021
Subjects:
arginine
Article
Astragali radix
astragaloside IV
Astragalus (plant)
Astragalus root
calycosin
chemical composition
Chinese drug
Chinese medicine
drug analysis
drug design
electrospray
formononetin
freeze drying
ion trap mass spectrometry
limit of quantitation
liquid chromatography-mass spectrometry
machine learning
Machine learning
metabolomics
Metabolomics
multiple reaction monitoring
nuclear magnetic resonance spectroscopy
ononin
plant extract
polarization microscopy
prediction
Prediction model
Quality markers
quantitative analysis
retention time
time of flight mass spectrometry
validation study
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