| Analytical methods | |
| Rapid discovery and global characterization of multiple constituents from Kai-Xin-San using an integrated MSE data acquisition mode strategy based on ultra-performance liquid chromatography coupled to electrospray ionization/quadrupole-time-of-flight mass spectrometry | |
| Chang Liu1  Xi-jun Wang1  Ying Han1  Ping Wang1  Guang-li Yan1  Ai-hua Zhang1  | |
| [1] National TCM Key Laboratory of Serum Pharmacochemistry, Laboratory of Metabolomics and Chinmedomics, Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine, Heping Road 24,Harbin 150040,China | |
| DOI : 10.1039/C4AY01954G | |
| 学科分类:分析化学 | |
| 来源: Royal Society of Chemistry | |
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【 摘 要 】
Kai-Xin-San (KXS) is a traditional Chinese medicine (TCM) formula consisting of four herbs, Ginseng Radix, Polygalae Radix, Poria and Acori Tatarinowii Rhizoma. KXS has been used to treat Alzheimer's disease and Parkinson's disease. In this study, a UPLC/QTOF MS system with automated MSE (E represents collision energy) data analysis software (MetaboLynx™) was used to analyze and identify the chemical components of KXS. Mass spectrometry was performed in a full-spectrum (m/z 100–2000) mode using an MSE acquisition of both molecular and fragment ion data at low (10–30 eV) and ramped (30–50 eV) collision energies. With the use of this approach, a total of 107 compounds were identified from KXS; 32 compounds were from Ginseng Radix; 19 compounds were from Poria; 33 compounds were from Polygalae Radix; and 21 compounds were from Acori Tatarinowii Rhizoma. The developed method is fast, accurate and reliable due to its high resolution and high efficiency, a result of an integrated MSE data acquisition mode strategy based on UPLC/QTOF MS that is a powerful tool for global detection and identification of complex components in herbal prescriptions. The results provided helpful chemical information for further pharmacology and active mechanism research on KXS and other TCMs...
【 授权许可】
CC BY-NC
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO201904041313583ZK.pdf | 1317KB |
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