Structural diversity, biosynthetic aspects, and LC-HRMS data compilation for the identification of bioactive compounds of Lepidium meyenii

被引:22
|
作者
Carvalho, Fernanda V. [1 ]
Ribeiro, Paulo R. [1 ]
机构
[1] Univ Fed Bahia, Inst Quim, Dept Quim Organ, Metabol Res Grp, Rua Barao de Jeremoabo S-N, BR-40170415 Salvador, BA, Brazil
关键词
Bioactive compounds; Chemical composition; Metabolomics; Peruvian maca; RESOLUTION MASS-SPECTROMETRY; CROP RICINUS-COMMUNIS; IMIDAZOLE ALKALOIDS; THIOHYDANTOIN DERIVATIVES; ANTIBACTERIAL ACTIVITIES; ENDURANCE CAPACITY; FATTY-ACIDS; A-C; MACA; ANTIOXIDANT;
D O I
10.1016/j.foodres.2019.108615
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
Lepidium meyenii is widely used as a food supplement because of its medicinal properties and nutritional value. Several studies have described the identification of its metabolites and LC-HRMS analysis is one of the most frequently used analytical tool to assess plant extract metabolome. Nevertheless, proper and reliable metabolite identification is essential for such metabolomics studies. Although HRMS distinguishes even minor changes in the metabolites structures, highly specialized secondary metabolites might not be present on available databases imposing serious obstacles for metabolite identification This review discusses the structural diversity and biosynthetic aspects of 101 compounds previously identified in L. meyenii. More importantly, we have compiled the available information on expected and experimental high-resolution masses of L. meyenii compounds. This will help upcoming metabolomics studies not only of L. meyenii but also other plant species by providing the necessary tools to perform proper and reliable identification of their bioactive compounds.
引用
收藏
页数:18
相关论文
共 11 条
  • [1] Identification of natural compounds of Jurinea species by LC-HRMS and GC-FID and their bioactivities
    Sarikahya, Nazli Boke
    Okkali, Gaye Sumer
    Celenk, Veysel U.
    Mertoglu, Elif
    Pekmez, Murat
    Arda, Nazli
    Topcu, Gulacti
    Goren, Ahmet C.
    JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS, 2021, 202
  • [2] Identification and Structural Characterization of New Degradation Products in Moxidectin Stressed Samples by LC-HRMS and NMR
    Tian, Jingzhi
    Rustum, Abu M.
    Adhikari, Sarju
    CHROMATOGRAPHIA, 2025, 88 (01) : 57 - 69
  • [3] Enhancing lipid identification in LC-HRMS data through machine learning-based retention time prediction
    Noreldeen, Hamada A. A.
    JOURNAL OF CHROMATOGRAPHY A, 2025, 1742
  • [4] Seperation and identification of bioactive compounds in Lepidium meyenii (Maca) based on the combination of medium-pressure liquid chromatography and preparative HPLC
    Li, D.
    Shao, Y.
    Shen, Z.
    Yan, W.
    PLANTA MEDICA, 2015, 81 (16) : 1446 - 1447
  • [5] Identification of drug metabolites in human plasma or serum integrating metabolite prediction, LC-HRMS and untargeted data processing
    Jacobs, Peter L.
    Ridder, Lars
    Ruijken, Marco
    Rosing, Hilde
    Jager, Nynke G. L.
    Beijnen, Jos H.
    Bas, Richard R.
    van Dongen, William D.
    BIOANALYSIS, 2013, 5 (17) : 2115 - 2128
  • [6] Prediction of Retention Indices in LC-HRMS for Enhanced Structural Identification of Organic Micropollutants in Water: Selectivity-Based Filtration
    Kajtazi, Ardiana
    Kajtazi, Marin
    Barbetta, Maike Felipe Santos
    Bandini, Elena
    Eghbali, Hamed
    Lynen, Frederic
    ANALYTICAL CHEMISTRY, 2025, 97 (01) : 65 - 74
  • [7] Untargeted time-pattern analysis of LC-HRMS data to detect spills and compounds with high fluctuation in influent wastewater
    Alygizakis, Nikiforos A.
    Gago-Ferrero, Pablo
    Hollender, Juliane
    Thomaidis, Nikolaos S.
    JOURNAL OF HAZARDOUS MATERIALS, 2019, 361 : 19 - 29
  • [8] Bypassing the Identification: MS2Quant for Concentration Estimations of Chemicals Detected with Nontarget LC-HRMS from MS2 Data
    Sepman, Helen
    Malm, Louise
    Peets, Pilleriin
    MacLeod, Matthew
    Martin, Jonathan
    Breitholtz, Magnus
    Kruve, Anneli
    ANALYTICAL CHEMISTRY, 2023, 95 (33) : 12329 - 12338
  • [9] Metabolic bioprofiling of different Glycyrrhiza glabra solvent fractions for the identification of anti-adenoviral compounds using LC-HRMS/MS and in-vitro cytopathic assay coupled with chemometry
    Mahrous, Rahma SR.
    Fathy, Hoda
    Ibrahim, Reham S.
    BMC COMPLEMENTARY MEDICINE AND THERAPIES, 2023, 23 (01)
  • [10] Metabolic bioprofiling of different Glycyrrhiza glabra solvent fractions for the identification of anti-adenoviral compounds using LC-HRMS/MS and in-vitro cytopathic assay coupled with chemometry
    Rahma SR. Mahrous
    Hoda Fathy
    Reham S. Ibrahim
    BMC Complementary Medicine and Therapies, 23