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Improved ultra‐performance liquid chromatography with electrospray ionization quadrupole‐time‐of‐flight high‐definition mass spectrometry method for the rapid analysis of the chemical constituents of a typical medical formula: Liuwei Dihuang Wan
Author(s) -
Wang Ping,
Lv Hai tao,
Zhang Ai hua,
Sun Hui,
Yan Guang li,
Han Ying,
Wu Xiu hong,
Wang Xi jun
Publication year - 2013
Publication title -
journal of separation science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.72
H-Index - 102
eISSN - 1615-9314
pISSN - 1615-9306
DOI - 10.1002/jssc.201300742
Subject(s) - quadrupole time of flight , electrospray ionization , chemistry , mass spectrometry , chromatography , chemical constituents , electrospray , gradient elution , retention time , fragmentation (computing) , quadrupole , high performance liquid chromatography , computer science , physics , atomic physics , operating system
Liuwei Dihuang Wan (LDW), a classic Chinese medicinal formula, has been used to improve or restore declined functions related to aging and geriatric diseases, such as impaired mobility, vision, hearing, cognition, and memory. It has attracted increasing attention as one of the most popular and valuable herbal medicines. However, the systematic analysis of the chemical constituents of LDW is difficult and thus has not been well established. In this paper, a rapid, sensitive, and reliable ultra‐performance LC with ESI quadrupole TOF high‐definition MS method with automated MetaboLynx analysis in positive and negative ion mode was established to characterize the chemical constituents of LDW. The analysis was performed on a Waters UPLC™ HSS T 3 using a gradient elution system. MS/MS fragmentation behavior was proposed for aiding the structural identification of the components. Under the optimized conditions, a total of 50 peaks were tentatively characterized by comparing the retention time and MS data. It is concluded that a rapid and robust platform based on ultra‐performance LC with ESI quadrupole TOF high‐definition MS has been successfully developed for globally identifying multiple constituents of traditional Chinese medicine prescriptions. This is the first report on the systematic analysis of the chemical constituents of LDW.