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A novel four‐step approach for systematic identification of naphthoquinones in Juglans cathayensis dode using various scan functions of liquid chromatography‐tandem mass spectrometry along with data mining strategies
Author(s) -
Gan Yuan,
Zhang Yang,
Li Aiqian,
Song Chengwu,
Chen Chang,
Xu Yong,
Ruan Hanli,
Jiang Hongliang
Publication year - 2015
Publication title -
phytochemical analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.574
H-Index - 72
eISSN - 1099-1565
pISSN - 0958-0344
DOI - 10.1002/pca.2575
Subject(s) - chemistry , quadrupole ion trap , tandem mass spectrometry , mass spectrometry , chromatography , mass , quadrupole time of flight , ion trap , mass spectrum
Systematic analyses of naphthoquinones in Juglans cathayensis have not yet been reported. It is very challenging to identify naphthoquinones with various structural diversities, especially those at trace levels. Objective To develop an efficient analytical approach for systematic discovery and identification of naphthoquinones in Juglans cathayensis . Methodology A novel four‐step approach was evaluated by utilizing various scan functions of liquid chromatography‐triple quadrupole‐linear ion trap mass spectrometry (LC‐QTRAP‐MS/MS) and liquid chromatography‐quadrupole time‐of‐flight tandem mass spectrometry (LC‐QTOF‐MS/MS) along with data mining strategies. First, MS/MS fragmentation behaviors of naphthoquinones were investigated. Second, multiple ion monitoring triggered enhanced product ion scan (MIM‐EPI) with specified ions was conducted to identify targeted naphthoquinones. Third, other scan functions of QTRAP‐MS/MS and data mining strategies were explored to identify untargeted naphthoquinones. Fourth, structural rationalization and confirmation of naphthoquinones were performed using QTOF‐MS/MS via its accurate mass measurement and MS/MS fragmentation functions. Results Optimal scan methods and data mining strategies using QTRAP‐MS/MS were obtained for identification of targeted and untargeted naphthoquinones. Consequently, 48 naphthoquinones including 24 novel ones were identified or tentatively identified from Juglans cathayensis . Conclusion A novel four‐step approach for efficient discovery and identification of naphthoquinones was developed by exploring various scan functions of current LC‐MS/MS technologies and data mining strategies, providing an example for systematic characterization of certain classes of phytochemicals, especially trace analytes in complex samples. Copyright © 2015 John Wiley & Sons, Ltd.