Analysis of Secondary Metabolites of Elaeagnus Angustifolia Leaves Based on UPLC-Q-TOF-MS

被引:0
|
作者
Liao, Jinfa [1 ,2 ]
Liu, Liyan [2 ]
Yang, Lu [2 ]
Sheng, Wei [2 ]
Zhang, Ke [1 ]
Zhou, Bin [2 ]
Yu, Silin [2 ,3 ]
Yin, Yongzhi [1 ,2 ]
Wang, Jinhui [1 ,2 ,3 ]
机构
[1] Shihezi Univ, Coll Pharm, Key Lab Xinjiang Phytomed Resource & Utilizat, Minist Educ, Shihezi 832002, Peoples R China
[2] Xinjiang Acad Forestry, Key Lab Forest Resources & Utilizat Xinjiang Natl, Urumqi 830052, Peoples R China
[3] Harbin Med Univ, Coll Pharm, Harbin 150081, Peoples R China
关键词
D O I
暂无
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Background: The leaves of Elaeagnus angustifolia, belonging to the Elaeagnaceae Juss. family, are known for their medicinal properties for relieving cough and asthma, as well as treating dysentery and diarrhea. Objective: To establish a rapid qualitative method for the detection of secondary metabolites in leaves of Elaeagnus angustifolia, including the identification and analysis of various secondary metabolites in leaves of Elaeagnus angustifolia. Method: Samples were separated using a Waters ACQUITY H-Class ultra-performance liquid chromatography (UPLC) system (FTN autosampler, quaternary LC pump) and ACQUITY UPLC (R) BEH C18 column (1.7 lm, 2.1 mm x 100 mm). The flow rate was set to 0.4 mL/min, the injection volume was 1.0 lL, and the column temperature was set to 45 degrees C. The mobile phase was methanol (A) with -0.1% formic acid in water (B). Samples were analyzed by quadrupole time-of-flight mass spectrometry (Q-TOF-MS). Results: A total of 182 different secondary metabolites were detected from 10 varieties of leaves of Elaeagnus angustifolia, including 77 flavonoids, 20 steroids, 7 alkaloids, 15 amino acids, 18 organic acids, and 45 other compound types. Conclusions: A method for the rapid analysis of leaves of Elaeagnus angustifolia by UPLC-Q-TOF-MS was established, and the secondary metabolites in leaves of Elaeagnus angustifolia were identified. The enrichment of secondary metabolites in leaves of different varieties of Elaeagnus angustifolia was clarified. Highlights: The UPLC-Q-TOF-MS method is very fast and possesses a high degree of selectivity, precision, and sensitivity. These findings provide a reliable foundation for the development of medicinal resources derived from Elaeagnus angustifolia leaves.
引用
收藏
页数:14
相关论文
共 50 条
  • [31] Effects of Different Sample Pulverisation Methods on the Extraction of Metabolites from the Fermented Cottonseed Meal Based on UPLC-Q-TOF-MS
    Yongqiang Wang
    Hongbing Xie
    Dongyang Liu
    Yimin Wang
    Changzhong Liu
    Muhammad Akram Khan
    Jinqing Jiang
    Wenjv Zhang
    Current Microbiology, 2020, 77 : 2751 - 2757
  • [32] Metabolite Profiling and Distribution of Militarine in Rats Using UPLC-Q-TOF-MS/MS
    Li, Limin
    Hao, Bin
    Zhang, Yulong
    Ji, Shen
    Chou, Guixin
    MOLECULES, 2020, 25 (05):
  • [33] NLRP3 inflammasome and lipid metabolism analysis based on UPLC-Q-TOF-MS in gouty nephropathy
    Zhang, Yan-Zi
    Sui, Xiao-Lu
    Xu, Yun-Peng
    Gu, Feng-Juan
    Zhang, Ai-Sha
    Chen, Ji-Hong
    INTERNATIONAL JOURNAL OF MOLECULAR MEDICINE, 2019, 44 (01) : 172 - 184
  • [34] Metabolomics Analysis in Acute Paraquat Poisoning Patients Based on UPLC-Q-TOF-MS and Machine Learning Approach
    Wen, Congcong
    Lin, Feiyan
    Huang, Binge
    Zhang, Zhiguang
    Wang, Xianqin
    Ma, Jianshe
    Lin, Guanyang
    Chen, Huiling
    Hu, Lufeng
    CHEMICAL RESEARCH IN TOXICOLOGY, 2019, 32 (04) : 629 - 637
  • [35] Comparison of metabolomics of Dendrobium officinale in different habitats by UPLC-Q-TOF-MS
    Yang, Juan
    Han, Xu
    Wang, Hao-Yu
    Yang, Jian
    Kuang, Yi
    Ji, Kai-Yue
    Yang, Yi
    Pang, Kai
    Yang, Sheng-Xiang
    Qin, Jian-Chun
    Wang, Hong-Peng
    BIOCHEMICAL SYSTEMATICS AND ECOLOGY, 2020, 89
  • [36] Analysis of phospholipids in Schizochytrium sp S31 by using UPLC-Q-TOF-MS
    Li, Leilei
    Chang, Ming
    Tao, Guanjun
    Wang, Xiaosan
    Liu, Yuan
    Liu, Ruijie
    Jin, Qingzhe
    Wang, Xingguo
    ANALYTICAL METHODS, 2016, 8 (04) : 763 - 770
  • [37] Complementation of UPLC-Q-TOF-MS and CESI-Q-TOF-MS on identification and determination of peptides from bovine lactoferrin
    Chen, Hui
    Shi, Pujie
    Fan, Fengjiao
    Tu, Maolin
    Xu, Zhe
    Xu, Xianbing
    Du, Ming
    JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES, 2018, 1084 : 150 - 157
  • [38] Investigation on Antioxidant Activity and Different Metabolites of Mulberry (Morus spp.) Leaves Depending on the Harvest Months by UPLC-Q-TOF-MS with Multivariate Tools
    Guo, Zili
    Lai, Jiangxuan
    Wu, Yiwen
    Fang, Sheng
    Liang, Xianrui
    MOLECULES, 2023, 28 (04):
  • [39] Effect of Wuzi Yanzong prescription on oligoasthenozoospermia rats based on UPLC-Q-TOF-MS metabolomics
    Chen, Zhimin
    Dong, Baohua
    Jiang, Yunxiu
    Peng, Ying
    Li, Wenbing
    Yu, Lingying
    Gao, Yongxiang
    Hu, Changjiang
    PHARMACEUTICAL BIOLOGY, 2022, 60 (01) : 1533 - 1541
  • [40] UPLC-Q-TOF-MS/MS-Based Targeted Discovery of Chetomin Analogues from Chaetomium cochliodes
    Liu, Jian-Zi
    Wang, Yan-Duo
    Fang, Hui-Qi
    Sun, Gui-Bo
    Ding, Gang
    JOURNAL OF NATURAL PRODUCTS, 2024, 87 (06): : 1660 - 1665