Structuring of a metabolic database for Casearia sylvestris using LC-DAD-CAD-MS

• Grant number: 16/24714-0
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: March 01, 2017
• End date: September 30, 2017
• Field of knowledge: Physical Sciences and Mathematics - Chemistry - Organic Chemistry
• Principal Investigator: Alberto Jose Cavalheiro
• Grantee: Amanda Sartori Pavão
• Host Institution: Instituto de Química (IQ). Universidade Estadual Paulista (UNESP). Campus de Araraquara. Araraquara , SP, Brazil
• Associated research grant: 13/07600-3 - CIBFar - Center for Innovation in Biodiversity and Drug Discovery, AP.CEPID

Abstract

Casearia sylvestris is a plant species of great economic and pharmacological interest, as it has proved to be antiulcerogenic, antiinflammatory, antiofidic, cytotoxic to tumor cells, among others. For this species, two morphoanatomic varieties are accepted: C. sylvestris var. sylvestris and C. sylvestris var. lingua. These varieties, besides having different morphological characteristics, also differ in the chemical composition in their leaves, with predominance of diterpenes of clerodane in the first, and phenolics in the second, besides other compounds not yet identified. In addition, there are important differences in the metabolic profile as a function of the biome in which the plants are found. These are the factors that justify the detailed characterization of these species for subsequent studies of ecophysiology of natural products and development of herbal products. Therefore, this IC design aims at structuring a metabolite database of C. sylvestris, where retention time data will be included in the UHPL-C18 and GC, UV / Vis and MS spectra. After that, a comparative chemical characterization of the various organs (root, trunk, bark, leaves, flowers and fruits) of the two varieties (lingua and sylvestris) will be conducted. As a result, it is expected to obtain a very comprehensive database on the chemical profile of two C. sylvestris varieties.