2022
DOI: 10.1016/j.phymed.2022.154155
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A precise efficacy determination strategy of traditional Chinese herbs based on Q-markers: Anticancer efficacy of Astragali radix as a case

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Cited by 8 publications
(1 citation statement)
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“…Inspired by this, the mode of point-by-point Raman scanning was adopted by slightly moving the sample to approximately 1-2 mm at a time, resulting in a spectral ngerprint matrix composed of dozens of Raman spectra representing the entire Huangqi sample, especially at the positions of GOWJAH around the cambium [28]. As a typical Chinese herbal medicine, Radix Astragali has various chemical components, including ingredients with high content (such as cellulose and lignin) and ingredients with low to ultra-low content (such as astragalosides and iso avonoids), which are generally used as quality markers [29] by phytochemists. Regardless of the high or low content, these components exist in plant tissues in the form of mixtures; therefore, they are more evidently or less evidently re ected in the Raman spectrum.…”
Section: Component Analysis Of Different Positions and Peak Assignmentsmentioning
confidence: 99%
“…Inspired by this, the mode of point-by-point Raman scanning was adopted by slightly moving the sample to approximately 1-2 mm at a time, resulting in a spectral ngerprint matrix composed of dozens of Raman spectra representing the entire Huangqi sample, especially at the positions of GOWJAH around the cambium [28]. As a typical Chinese herbal medicine, Radix Astragali has various chemical components, including ingredients with high content (such as cellulose and lignin) and ingredients with low to ultra-low content (such as astragalosides and iso avonoids), which are generally used as quality markers [29] by phytochemists. Regardless of the high or low content, these components exist in plant tissues in the form of mixtures; therefore, they are more evidently or less evidently re ected in the Raman spectrum.…”
Section: Component Analysis Of Different Positions and Peak Assignmentsmentioning
confidence: 99%