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2024
DOI: 10.1016/j.phymed.2023.155201
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Identify production area, growth mode, species, and grade of Astragali Radix using metabolomics “big data” and machine learning

Jing Wu,
Shaoqian Deng,
Xinyue Yu
et al.
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Cited by 2 publications
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“…Compared with HPLC, the sensitivity of UPLC-MS/MS is much higher, and because it benefits from a low detection limit and low sample consumption, UPLC-MS/MS is widely used in pharmaceutical analysis for evaluating chemical composition (Lu et al, 2023;Wu et al, 2023;Zhang et al, 2023;Zhao et al, 2023), elucidating drug metabolism, and identifying impurities (Famiglini et al, 2021;Nasiri et al, 2021). Therefore, this study sought to establish a UPLC-MS/ MS method for measuring the concentrations of crassicauline A, fuziline, karacoline, and songorine in rat plasma.…”
mentioning
confidence: 99%
“…Compared with HPLC, the sensitivity of UPLC-MS/MS is much higher, and because it benefits from a low detection limit and low sample consumption, UPLC-MS/MS is widely used in pharmaceutical analysis for evaluating chemical composition (Lu et al, 2023;Wu et al, 2023;Zhang et al, 2023;Zhao et al, 2023), elucidating drug metabolism, and identifying impurities (Famiglini et al, 2021;Nasiri et al, 2021). Therefore, this study sought to establish a UPLC-MS/ MS method for measuring the concentrations of crassicauline A, fuziline, karacoline, and songorine in rat plasma.…”
mentioning
confidence: 99%