An integrated strategy for the comprehensive profiling of the chemical constituents of Aspongopus chinensis using UPLC-QTOF-MS combined with molecular networking

被引:9
|
作者
Zhang, Fengyu [1 ,2 ]
Li, Bichen [1 ,2 ]
Wen, Ying [1 ,2 ]
Liu, Yanyang [1 ,2 ]
Liu, Rong [1 ,2 ]
Liu, Jing [1 ,2 ]
Liu, Shao [1 ,2 ]
Jiang, Yueping [1 ,2 ]
机构
[1] Cent South Univ, Xiangya Hosp, Dept Pharm, Changsha, Peoples R China
[2] Cent South Univ, Xiangya Hosp, Natl Clin Res Ctr Geriatr Disorders, Changsha, Peoples R China
关键词
Dereplication; targeted and untargeted strategy; self-built database; cluster of nodes; mass spectrometry data; traditional insect medicine; MASS-SPECTROMETRY; COMBINATION; DISCOVERY;
D O I
10.1080/13880209.2022.2096078
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Context The extracts of Aspongopus chinensis Dallas (Pentatomidae), an insect used in traditional Chinese medicine, have a complex chemical composition and possess multiple pharmacological activities. Objective This study comprehensively characterizes the chemical constituents of A. chinensis by an integrated targeted and untargeted strategy using UPLC-QTOF-MS combined with molecular networking. Materials and methods The ultra-performance liquid chromatography-tandem quadrupole time-of-flight mass spectrometry (UPLC-QTOF-MS) combined with molecular networking-based dereplication was proposed to facilitate the identification of the chemical constituents of aqueous and ethanol extracts of A. chinensis. The overall strategy was designed to avoid the inefficiency and costliness of traditional techniques. The targeted compounds discovered in the A. chinensis extracts were identified by searching a self-built database, including fragment ions, precursor ion mass, and other structural information. The untargeted compounds were identified by analyzing the relationship between different categories, fragmentation pathways, mass spectrometry data, and the structure of the same cluster of nodes within the molecular network. The untargeted strategy was verified using commercial standard samples under the same mass spectrometry conditions. Results The proposed integrated targeted and untargeted strategy was successfully applied to the comprehensive profiling of the chemical constituents of aqueous and ethanol extracts of A. chinensis. A total of 124 compounds such as fatty acids, nucleosides, amino acids, and peptides, including 74 compounds that were reported for the first time, were identified in this study. Conclusions The integrated strategy using LC tandem HRMS combined with molecular networking could be popularised for the comprehensive profiling of chemical constituents of other traditional insect medicines.
引用
收藏
页码:1349 / 1364
页数:16
相关论文
共 50 条
  • [1] Comprehensive profiling of the chemical constituents in Dayuanyin decoction using UPLC-QTOF-MS combined with molecular networking
    Peng, Jing
    Ge, Chengyu
    Shang, Kaiqi
    Liu, Shao
    Jiang, Yueping
    [J]. PHARMACEUTICAL BIOLOGY, 2024, 62 (01) : 480 - 498
  • [2] Chemical constituents of radix Actinidia chinensis planch by UPLC-QTOF-MS
    Chen, Yuanyuan
    Cai, Xiaojun
    Li, Guowei
    He, Xiaoying
    Yu, Xixi
    Yu, Xinwei
    Xiao, Qiming
    Xiang, Zheng
    Wang, Chaojie
    [J]. BIOMEDICAL CHROMATOGRAPHY, 2021, 35 (07)
  • [3] Chemical profiling of Actaea species and commercial products using UPLC-QTof-MS
    Sharaf, M. H. M.
    Yuk, J.
    Yu, K.
    Wrona, M.
    Isaac, G.
    [J]. PLANTA MEDICA, 2016, 82
  • [4] Chemical profiling of Actaea species and commercial products using UPLC-QTof-MS
    Sharaf, M. H. M.
    Yuk, J.
    Yu, K.
    Wrona, M.
    Isaac, G.
    [J]. PLANTA MEDICA, 2016, 82
  • [5] Bioherbicidal Activity and Metabolic Profiling of Allelopathic Metabolites of Three Cassia species using UPLC-qTOF-MS/MS and Molecular Networking
    Asmaa M. Otify
    Osama G. Mohamed
    Yasser A. El-Amier
    Fatema R. Saber
    Ashootosh Tripathi
    Inas Y. Younis
    [J]. Metabolomics, 19
  • [6] Bioherbicidal Activity and Metabolic Profiling of Allelopathic Metabolites of Three Cassia species using UPLC-qTOF-MS/MS and Molecular Networking
    Otify, Asmaa M.
    Mohamed, Osama G.
    El-Amier, Yasser A.
    Saber, Fatema R.
    Tripathi, Ashootosh
    Younis, Inas Y.
    [J]. METABOLOMICS, 2023, 19 (03)
  • [7] Identification and Characterization of Chemical Constituents in HuaTanJiangQi Capsules by UPLC-QTOF-MS Method
    Li, Chenhui
    Fang, Wei
    Wu, Qingqing
    Yao, Zhaomin
    Wu, Jie
    Huang, Peng
    Wang, Dianlei
    Li, Zegeng
    [J]. JOURNAL OF AOAC INTERNATIONAL, 2021, 104 (04) : 983 - 998
  • [8] Bioprospecting of soil-borne microorganisms and chemical dereplication of their anti-microbial constituents with the aid of UPLC-QTOF-MS and molecular networking approach
    Khwathisi, Adivhaho
    Madala, Ntakadzeni Edwin
    Traore, Afsatou Ndama
    Samie, Amidou
    [J]. PEERJ, 2024, 12
  • [9] Chemical profiling of guarana seeds (Paullinia cupana) from different geographical origins using UPLC-QTOF-MS combined with chemometrics
    da Silva, Givaldo Souza
    Canuto, Kirley Marques
    Vasconcelos Ribeiro, Paulo Riceli
    de Brito, Edy Sousa
    Nascimento, Madson Moreira
    Zocolo, Guilherme Julian
    Coutinho, Janclei Pereira
    de Jesus, Raildo Mota
    [J]. FOOD RESEARCH INTERNATIONAL, 2017, 102 : 700 - 709
  • [10] Comprehensive chemical profiling and potential chemical marker's evaluation of Tribulus terrestris by UPLC-QTOF-MS in combination with ion mobility spectrometry
    Meng, Xin
    Xing, Junpeng
    Liu, Shu
    Liu, Zhiqiang
    Song, Fengrui
    [J]. JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS, 2022, 217