This study focuses on exploring the biological properties, antioxidant and antibacterial associated with geopropolis resin extracts produced in Brazil. Searches were performed in the electronic databases: Lilacs, Medline, PubMed, Scielo and Science Direct. Fifteen (15) experimental studies were selected as compatible with the objective of this systematic review. Data were extracted from qualified studies that included year of publication, locale where the geopropolis sample was collected and type of extract. The articles were separated according to the biological properties tested. In the selected studies, phenolic compounds were reported as the constituent with the greatest predominance. Using the DPPH methodology, antioxidant activity when expressed as IC50 yielded a mean value of 6.94 μg/mL. Antibacterial properties against various microorganisms such as: Bacillus cereus, Enterococcus faecalis, Escherichia coli, Klebsiella pneumoniae, Mycoplasma pneumoniae, Salmonella sp., Staphylococcus aureus and Streptococcus pyogenes were evaluated. The Minimum Inhibitory Concentration (MIC) values of the geopropolis extracts varied between 15,6 μg/mL and 25000 μg/mL. The mechanism of action of biological activities is associated with phenolic and flavonoid compounds, present in the chemical composition of geopropolis samples from the Brazilian territory, which constitute unique characteristics of its composition, due to the diversity of plant species present in the region.
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Article Synopsis
- Native stingless bees from Brazil produce (geo)propolis, which is important in folk medicine, particularly within indigenous and quilombos communities, and is gaining attention for its pharmacological properties.
- This study utilized advanced techniques like Flow Injection Analysis (FIA) and Ultra-high Performance Liquid Chromatography (UHPLC) coupled with high-resolution mass spectrometry to analyze extracts from various bee species.
- Researchers identified 59 chemical compounds including flavonoids, sugars, and terpenoids, and successfully classified the samples based on bee species and geographical origin using multivariate analysis.
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