{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Cheng T"],"funding":["National Natural Science Foundation of China"],"pagination":["8714-8727"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9062044"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["9(16)"],"pubmed_abstract":["The compound Dan Zhi Tablet (DZT), a reputable traditional Chinese medicine prescription, is widely used for the treatment of ischemic stroke in clinic. However, its systematic chemical constituents have rarely been elucidated, which hampers its quality evaluation, the study of bioactive constituents and the mechanism of action interpretation. In this study, we developed a combination of multidimensional data acquisition and data processing strategy with the aim to globally and comprehensively identify the chemical constituents in DZT based on UPLC-TWIMS-QTOFMS. First, multidimensional acquisition modes (MS<sup>E</sup>, Fast DDA and HDMS<sup>E</sup>) were performed on UPLC-TWIMS-QTOFMS. Second, targeted characterizations of the known compounds and their analogues present in DZT were carrie"],"journal":["RSC advances"],"pubmed_title":["Hybrid multidimensional data acquisition and data processing strategy for comprehensive characterization of known, unknown and isomeric compounds from the compound Dan Zhi Tablet by UPLC-TWIMS-QTOFMS."],"pmcid":["PMC9062044"],"funding_grant_id":["21472238","81520108030"],"pubmed_authors":["Zhang W","Cheng T","Li H","Zou J","Jin H","Dong H","Zhang Z","Xie N","Mi N","Ye J"],"additional_accession":[]},"is_claimable":false,"name":"Hybrid multidimensional data acquisition and data processing strategy for comprehensive characterization of known, unknown and isomeric compounds from the compound Dan Zhi Tablet by UPLC-TWIMS-QTOFMS.","description":"The compound Dan Zhi Tablet (DZT), a reputable traditional Chinese medicine prescription, is widely used for the treatment of ischemic stroke in clinic. However, its systematic chemical constituents have rarely been elucidated, which hampers its quality evaluation, the study of bioactive constituents and the mechanism of action interpretation. In this study, we developed a combination of multidimensional data acquisition and data processing strategy with the aim to globally and comprehensively identify the chemical constituents in DZT based on UPLC-TWIMS-QTOFMS. First, multidimensional acquisition modes (MS<sup>E</sup>, Fast DDA and HDMS<sup>E</sup>) were performed on UPLC-TWIMS-QTOFMS. Second, targeted characterizations of the known compounds and their analogues present in DZT were carrie","dates":{"release":"2019-01-01T00:00:00Z","publication":"2019 Mar","modification":"2025-04-26T12:12:26.072Z","creation":"2024-12-04T05:48:00.501Z"},"accession":"S-EPMC9062044","cross_references":{"pubmed":["35517662"],"doi":["10.1039/c8ra10100k"]}}