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Bottom-Up Structural Analysis for Natural Products by Identifying Fragment Ions Resulted from Gas Phase
Qian Wang1,2, Ke Zhang1,2, Jingjing Shi1,2
1Modern Research Center for Traditional Chinese Medicine, Beijing Research Institute of Chinese Medicine, Beijing University of Chinese Medicine, Beijing 102401 China.
Abstract:
Structural degradation is a fundamental principle for identifying complicated structures. Except for the comparable ability with chemical degradation reactions to facilitate C-X (X = N, O, and S) bond fission, gas phase ion dissociation also enables C-C fission, leading to a bottom-up strategy to annotate complicated natural products via interpreting fragment ion structures. Here, fragmentation trajectories of the concerned first-generation fragment ions were universally recorded by operating online energy-resolved (ER)-MS in the second collision chamber of a QTRAP-MS device. Following the appropriate normalization, the breakdown graphs of the primary MS3 spectral signals composed of a full exciting energy ramp (FEER)-MS3 spectrum containing m/z, optimal exciting energy (OEE), EE at 50% survival yield (EE50), and the maximal relative ion intensity (RIIOEE) features. Through involving diverse C-C fission routes from 77 compounds, three means were feasible to interpret fragment ions by FEER-MS3, such as 1) matching with FEER-MS3 of the known fragment ions from the authentic structures; 2) matching with FEER-MS2 of the appropriate (de)protonated molecule that intactly crossed the front collision cell; and 3) deciphering m/z, OEE, EE50, and RIIOEE to molecular descriptors using quantum structure calculation. Subsequently, the incorporation of a full collision energy ramp (FCER)-MS2 spectrum that was built by programming ER-MS in the first collision cell, incorporating with the empirical mass fragmentation rules, enabled the entire structural configuration through linking substructures. The strategic utility was justified by Diels-Alder adduct-focused identification in Morus alba, and confidence-enhanced identification was reached for 63 compounds. Overall, FEER-MS3 significantly facilitated the identification of fragment ions generated by C-C bond fissions and advanced MS/MS-based structural annotation.
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