Abstract
A novel range-divided data dependent acquisition (DDA) strategy was proposed for the screening of diterpenoid alkaloids in Aconitum pendulum roots. In range-divided DDA, the low-range was set between m/z 340-500 and the high-range was set between m/z 500-700 according to the molecular weight range of the diterpenoid alkaloids. The combined identification approach including MS1 molecular weight, MS2 spectrum interpretation, literature comparison, and standard verification was applied to the results. The range-divided DDA identified 15 more diterpenoid alkaloids than the full-range DDA under the same LC conditions. A total of 47 diterpenoid alkaloids were identified. Among them, brachyaconitines A-D were screened for the first time in Aconitum pendulum. This screening strategy can serve as a powerful tool for the discovery of novel metabolites in the field of plant metabolomics.
Published Version
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