Comprehensive Mass Spectrometric Metabolomic Profiling of a Chemically Diverse Collection of Plants of the Celastraceae Family

13 September 2023, Version 1
This content is a preprint and has not undergone peer review at the time of posting.

Abstract

Natural products exhibit interesting structural features and significant biological activities. The discovery of new bioactive molecules is a complex process that requires high-quality metabolite profiling data to properly target the isolation of compounds of interest and enable their complete structural characterization. The same metabolite profiling data can also be used to understand chemotaxonomic links between species better. This Data Descriptor details a dataset resulting from the untargeted liquid chromatography-mass spectrometry profiling of 76 natural extracts of the Celastraceae family. The spectral annotation results and related chemical and taxonomic metadata are shared, along with proposed examples of data reuse. This data can be further studied by researchers exploring the chemical diversity of natural products. This can serve as a reference sample set for deep metabolome investigation of this chemically rich plant family.

Keywords

Natural Products
Mass Spectrometry
Celastraceae

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