RESUMO
Licania tomentosa is a Brazilian plant species that produces edible fruits, yet there is little information available concerning their nutritional and/or bioactive composition. This study aimed to evaluate the nutritional and polyphenol composition of L. tomentosa fruits (pulp and seeds) and measure antioxidant activity in ethanolic extracts.The pulp and seeds were excellent sources of fiber (25.62%-41.70%) as well as minerals and vitamins. L. tomentosa contained no lectins or protease inhibitors (chymotrysin and trypsin) and 12 polyphenol compounds were identified in the seed extracts with a predominance of flavonoids. The seeds also presented antioxidant activities using the DPPH (SC5010.30-15.87 µg/mL), TBARS (IC50 18.46-20.84 µg/mL), and FRAP (RC50 0.203-0.309 µg/mL) assays. Due to its nutrient and antioxidant content, L. tomentosa may be used for food applications.
Assuntos
Antioxidantes/química , Chrysobalanaceae/química , Valor Nutritivo , Extratos Vegetais/química , Brasil , Cromatografia Líquida de Alta Pressão , Chrysobalanaceae/metabolismo , Flavonoides/química , Farinha/análise , Frutas/química , Frutas/metabolismo , Polifenóis/análise , Polifenóis/química , Inibidores de Proteases/análise , Inibidores de Proteases/química , Sementes/química , Sementes/metabolismo , Espectrometria de Massas por Ionização por ElectrosprayRESUMO
Several plants have been studied for their medicinal properties, especially concerning the management of chronic diseases, such as diabetes, aiming at a more accessible form of treatment. In this context, the aim of this study was to characterize plant proteins used in folk medicine as hypoglycemic agents for the treatment of diabetes, namely "abajerú" (Chrysobalanus icaco) and "cow's paw" (Bauhinia forficata and Bauhinia variegata). The species were differentiated by proteome characterization. Proteins were in-solution digested using trypsin by the filter-assisted sample preparation (FASP) method. Peptides were then analyzed by liquid chromatography tandem mass spectrometry (LC-MS/MS) for protein characterization. In total, 131 proteins were identified. The main biological functions of these proteins were cellular respiration, transport, metabolism and photosynthesis. Insulin-like proteins were not detected, but proteins involved in controlling glucose levels were. The results are of value in the proteomic characterization of phytotherapeutic plants, and may serve as baseline for the assessed species in Brazil, where a lack of knowledge in this regard is observed.
Assuntos
Bauhinia/metabolismo , Chrysobalanaceae/metabolismo , Diabetes Mellitus/tratamento farmacológico , Hipoglicemiantes/farmacologia , Extratos Vegetais/farmacologia , Proteoma , Brasil , Cromatografia Líquida , Geografia , Hipoglicemiantes/química , Medicina Tradicional , Extratos Vegetais/química , Folhas de Planta/metabolismo , Plantas Medicinais , Proteômica , Espectrometria de Massas em TandemRESUMO
Flavonoids represent an important class of natural products with a central role in plant physiology and human health. Their accurate annotation using untargeted mass spectrometry analysis still relies on differentiating similar chemical scaffolds through spectral matching to reference library spectra. In this work, we combined molecular network analysis with rules for fragment reactions and chemotaxonomy to enhance the annotation of similar flavonoid glyconjugates. Molecular network topology progressively propagated the flavonoid chemical functionalization according to collision-induced dissociation (CID) reactions, as the following chemical attributes: aglycone nature, saccharide type and number, and presence of methoxy substituents. This structure-based distribution across the spectral networks revealed the chemical composition of flavonoids across intra- and interspecies and guided the putatively assignment of 64 isomers and isobars in the Chrysobalanaceae plant species, most of which are not accurately annotated by automated untargeted MS2 matching. These proof of concept results demonstrate how molecular networking progressively grouped structurally related molecules according to their product ion scans, abundances, and ratios. The approach can be extrapolated to other classes of metabolites sharing similar structures and diagnostic fragments from tandem mass spectrometry.