Metabolomics

Dataset Information

0

GNPS - LC-MS based phytochemical profiling towards the identification of antioxidant markers in some endemic Aloe species from Mascarene Islands


ABSTRACT: Aloe plant species have been used for centuries in traditional medicine and reported to be an important source of natural products. However, despite the large number of species within the Aloe genus, only a few of them have been investigated chemotaxonomically. A Molecular Network approach was used to highlight the different chemical classes characterizing the leaves of five Aloe species: Aloe macra, Aloe vera, Aloe tormentorii, Aloe ferox and Aloe purpurea. Aloe macra, A. tormentorii and A. purpurea are endemic from the Mascarene Islands comprising Reunion, Mauritius and Rodrigues. UHPLC-MS/MS analysis followed by a dereplication process allowed the characterization of 93 metabolites. The newly developed MolNotator algorithm was used as a tool for molecular networking and allowed a better exploration of the Aloe metabolome chemodiversity. The five species appeared to be rich in polyphenols (anthracene derivatives, flavonoids, phenolic acids). Therefore, total phenolic content and antioxidant activity of the five species were evaluated, and a DPPH-On-Line-HPLC assay was used to determine the metabolites responsible for the radical scavenging activity. The use of computational tools allowed a better description of the chemotaxonomy of five Aloe species, which showed differences in their metabolite composition, both qualitative and quantitative. Moreover, the molecular network approach allowed the identification of metabolites responsible for the antioxidant activity.

INSTRUMENT(S): impact II

ORGANISM(S): Aloe Macra (ncbitaxon:212387) Aloe Ferox (ncbitaxon:117798) Aloe Tormentorii (ncbitaxon:1908395) Aloe Purpurea (ncbitaxon:49726) Aloe Vera (ncbitaxon:34199)

SUBMITTER: Elnur Garayev  

PROVIDER: MSV000089679 | GNPS | Fri Jun 17 05:29:00 BST 2022

REPOSITORIES: GNPS

Dataset's files

Source:
Action DRS
Other
Items per page:
1 - 1 of 1

Similar Datasets

2022-06-17 | MSV000089679 | MassIVE
2023-08-30 | MSV000092788 | MassIVE
2023-08-30 | MSV000092788 | GNPS
2009-10-10 | GSE18374 | GEO
2017-01-31 | MTBLS224 | MetaboLights
2016-03-23 | GSE79473 | GEO
2015-08-01 | GSE71606 | GEO
2020-12-09 | GSE116485 | GEO
2023-08-31 | PXD041886 | Pride
2021-06-30 | GSE179109 | GEO