首页|期刊导航|药物分析学报(英文)|Software-aided efficient identification of the components of compound formulae and their metabolites in rats by UHPLC/IM-QTOF-MS and an in-house high-definition MS2 library:Sishen formula as a case
Software-aided efficient identification of the components of compound formulae and their metabolites in rats by UHPLC/IM-QTOF-MS and an in-house high-definition MS2 library:Sishen formula as a case
Lili Hong Xiumei Gao De-an Guo Wenzhi Yang Wei Wang Shiyu Wang Wandi Hu Yuyang Sha Xiaoyan Xu Xiaoying Wang Kefeng Li Hongda Wang
药物分析学报(英文)2024,Vol.14Issue(10):1484-1495,12.
药物分析学报(英文)2024,Vol.14Issue(10):1484-1495,12.DOI:10.1016/j.jpha.2024.100994
Software-aided efficient identification of the components of compound formulae and their metabolites in rats by UHPLC/IM-QTOF-MS and an in-house high-definition MS2 library:Sishen formula as a case
Software-aided efficient identification of the components of compound formulae and their metabolites in rats by UHPLC/IM-QTOF-MS and an in-house high-definition MS2 library:Sishen formula as a case
摘要
关键词
Ultra-high performance liquid/chromatography/ion-mobility quadrupole/time-of-flight mass spectrometry(UHPLC/1M-QTOF-MS)/Hybrid scan/High-definition MS2 spectral library/Sishen formulaKey words
Ultra-high performance liquid/chromatography/ion-mobility quadrupole/time-of-flight mass spectrometry(UHPLC/1M-QTOF-MS)/Hybrid scan/High-definition MS2 spectral library/Sishen formula引用本文复制引用
Lili Hong,Xiumei Gao,De-an Guo,Wenzhi Yang,Wei Wang,Shiyu Wang,Wandi Hu,Yuyang Sha,Xiaoyan Xu,Xiaoying Wang,Kefeng Li,Hongda Wang..Software-aided efficient identification of the components of compound formulae and their metabolites in rats by UHPLC/IM-QTOF-MS and an in-house high-definition MS2 library:Sishen formula as a case[J].药物分析学报(英文),2024,14(10):1484-1495,12.基金项目
This work was financially supported by National Natural Science Foundation of China(Grant No.:82192914),Tianjin Outstanding Youth Fund(Grant No.:23JCJQJC00030),and the Innovation Team and Talents Cultivation Program of National Administration of Traditional Chinese Medicine(Grant No.:ZYYCXTD-C-202009). (Grant No.:82192914)