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Mem. Inst. Oswaldo Cruz ; 103(1): 31-38, Feb. 2008. tab
Article in English | LILACS | ID: lil-478874

ABSTRACT

Tropical forests are species-rich reserves for the discovery and development of antimicrobial drugs. The aim of this work is to investigate the in vitro antimicrobial potential of Amazon plants found within the National Institute on Amazon Research's Adolpho Ducke forest reserve, located in Manaus, state of Amazonas, Brazil. 75 methanol, chloroform and water extracts representing 12 plant species were tested for antimicrobial activity towards strains of Mycobacterium smegmatis, Escherichia coli, Streptococcus sanguis, Streptococcus oralis, Staphylococcus aureus and Candida albicans using the gel-diffusion method. Active extracts were further evaluated to establish minimum inhibitory concentrations (MIC) and antimicrobial profiles using bioautography on normal-phase thin-layer chromatography plates. Diclinanona calycina presented extracts with good antimicrobial activity and S. oralis and M. smegmatis were the most sensitive bacteria. D. calycina and Lacmellea gracilis presented extracts with the lowest MIC (48.8 µg/ml). D. calycina methanol and chloroform leaf extracts presented the best overall antimicrobial activity. All test organisms were sensitive to D. calycina branch chloroform extract in the bioautography assay. This is the first evaluation of the biological activity of these plant species and significant in vitro antimicrobial activity was detected in extracts and components from two species, D. calycina and L. gracilis.


Subject(s)
Humans , Anti-Bacterial Agents/pharmacology , Candida albicans/drug effects , Gram-Negative Bacteria/drug effects , Gram-Positive Bacteria/drug effects , Plant Extracts/pharmacology , Plants, Medicinal/chemistry , Brazil , Conservation of Natural Resources , Escherichia coli/drug effects , Immunodiffusion , Microbial Sensitivity Tests , Mycobacterium smegmatis/drug effects , Plants, Medicinal/classification , Staphylococcus aureus/drug effects , Streptococcus/drug effects , Trees
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