Li, Na; Yu, Yongzhou; Cui, Xiaoyan; Liu, Qi; Xiong, Hui published the artcile< High-throughput UPLC-Q-TOF-MS/MS coupled with multivariable data processing approach for the rapid screening and characterization of chemical constituents and potential bioactive compounds from Danggui Shaoyao San>, Computed Properties of 112-63-0, the main research area is Danggui Shaoyao San bioactive compound UPLC TOF MS; Danggui Shaoyao San; UPLC-Q-TOF-MS; constituents; multivariable data processing approach; traditional Chinese medicine.
Danggui Shaoyao San (DSS), a herbal formula, has been widely used for decades in China to treat senile dementia and dysmenorrhea. Here, an integrative high-throughput UPLC-Q-TOF-MS/MS method coupled with a multivariable data processing approach was established for rapidly screening and identifying chem. constituents and potential bioactive compounds from DSS. Through the comparison with mass fragment ions, relevant literature, and inhouse reference material database coupled with MS cleavage mechanism, 150 chem. constituents, mainly including triterpenoids, flavonoids, phathalides, and organic acids, were tentatively characterized. Most of them were identified for the first time. Then, principal component anal. was used to evaluate the differences in chem. profiles between groups, whereas the variable importance of the projection (VIP) spectrum (VIP > 1) and the trend plot of orthogonal partial least squares discriminant anal. were applied to intuitively screen the candidate variables present only in the dosed group. Consequently, by comparison with all the characterized components in vitro, 23 potential bioactive compounds were successfully identified, comprising 5 triterpenoids, 4 phathalides, 4 flavonoids, 4 organic acids, 3 lactones, and 3 other compounds, which were present in various medicinal materials, reflecting a synergistic mechanism. This work developed a rapid, reliable, and robust approach for comprehensive characterization of the chem. components and potential bioactive compounds of DSS, providing solid data for further research on pharmacodynamic substances and pharmacol. mechanisms of DSS.
Biomedical Chromatography published new progress about Alisma orientale. 112-63-0 belongs to class esters-buliding-blocks, and the molecular formula is C19H34O2, Computed Properties of 112-63-0.
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