A Comprehensive and Rapid Quality Evaluation Method of Traditional Chinese Medicine Decoction by Integrating UPLC-QTOF-MS and UFLC-QQQ-MS and its Application.
Molecules
; 24(2)2019 Jan 21.
Article
en En
| MEDLINE
| ID: mdl-30669664
Decoction is one of the oldest forms of traditional Chinese medicine and it is widely used in clinical practice. However, the quality evaluation and control of traditional decoction is a challenge due to the characteristics of complicated constituents, water as solvent, and temporary preparation. ShenFu Prescription Decoction (SFPD) is a classical prescription for preventing and treating many types of cardiovascular disease. In this article, a comprehensive and rapid method for quality evaluation and control of SFPD was developed, via qualitative and quantitative analysis of the major components by integrating ultra-high-performance liquid chromatography equipped with quadrupole time-of-flight mass spectrometry and ultra-fast-performance liquid chromatography equipped with triple quadrupole mass spectrometry. Consequently, a total of 39 constituents were tentatively identified in qualitative analysis, of which 21 compounds were unambiguously confirmed by comparing with reference substances. We determined 13 important constituents within 7 min by multiple reaction monitoring. The validated method was applied for determining five different proportion SFPDs. It was found that different proportions generated great influence on the dissolution of constituents. This may be one of the mechanisms for which different proportions play different synergistic effects. Therefore, the developed method is a fast and useful approach for quality evaluation of SFPD.
Palabras clave
Texto completo:
1
Base de datos:
MEDLINE
Asunto principal:
Medicamentos Herbarios Chinos
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Cromatografía Líquida de Alta Presión
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Espectrometría de Masa por Láser de Matriz Asistida de Ionización Desorción
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Espectrometría de Masas en Tándem
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Medicina Tradicional China
Tipo de estudio:
Diagnostic_studies
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Prognostic_studies
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Qualitative_research
Idioma:
En
Revista:
Molecules
Asunto de la revista:
BIOLOGIA
Año:
2019
Tipo del documento:
Article