Integrated strategy facilitates rapid in-depth chemome characterization of traditional Chinese medicine prescriptions: Shengbai oral liquid as a case.
Min ZhangQian WangXiaoyun LiWenhui ZhaoKaiyong HuQian HuangYuelin SongRong ShaoPublished in: Journal of separation science (2023)
Chemome characterization is the prerequisite for either therapeutic mechanism clarification or quality control of traditional Chinese medicine prescriptions (TCMPs). Liquid chromatography-mass spectrometry/mass spectrometry (LC-MS/MS) currently serves as the most popular analytical tool; however, chemome characterization is still challenged by MS/MS spectral acquisition and post-acquisition data processing. Here, an integrated strategy was proposed for in-depth chemome clarification of Shengbai oral liquid (SBOL). Gas phase ion fractionation with staggered mass ranges was demonstrated to be the superior acquisition method regarding MS 2 spectrum coverage in this study, and narrower mass range further advanced coverage. To facilitate information extraction, all ingredient materials were measured in parallel to form an in-house library, where each MS 1 -MS 2 item generated a square mass-to-charge ratio (m/z) frame to capture the tagged identity and each chemical family produced a pentagon frame for mass defect features to accomplish chemical analogs-targeted quasi-molecular ion extraction. Square m/z frame imprinting captured 355 identities, while mass defect frames extracted 275 compounds. Attributing to comprehensive MS 2 spectrum acquisition and efficient data processing, 355 components were captured and tentatively identified, resulting in a clarified chemical composition for SBOL. Therefore, the proposed strategy should be meaningful for the chemome characterization of TCMPs.
Keyphrases
- mass spectrometry
- liquid chromatography
- ms ms
- high performance liquid chromatography
- high resolution mass spectrometry
- quality control
- tandem mass spectrometry
- optical coherence tomography
- gas chromatography
- capillary electrophoresis
- multiple sclerosis
- high resolution
- electronic health record
- liquid chromatography tandem mass spectrometry
- big data
- ultra high performance liquid chromatography
- machine learning
- magnetic resonance imaging
- magnetic resonance
- computed tomography
- health information
- artificial intelligence
- contrast enhanced
- dual energy
- molecular dynamics simulations