Advanced search
Start date
Betweenand

Screening to rapid identification of antimicrobial against mastitis cattle produced for actinomycetes

Grant number: 13/19339-8
Support type:Scholarships in Brazil - Scientific Initiation
Effective date (Start): October 01, 2013
Effective date (End): September 30, 2015
Field of knowledge:Physical Sciences and Mathematics - Chemistry - Organic Chemistry
Principal Investigator:Luiz Alberto Beraldo de Moraes
Grantee:Izadora de Souza Rocha
Home Institution: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto (FFCLRP). Universidade de São Paulo (USP). Ribeirão Preto , SP, Brazil

Abstract

New antimicrobial agents are desperately needed to combat the increasing number of antibiotic resistant strainsof pathogenic microorganisms. Natural products remain the most propitious source of novel antibiotics. It is widely accepted that actinobacteria are prolific producers of natural bioactive compounds, in particular the actinomycetes are known to produce a vast number of bioactive secondary metabolites of interesting pharmaceuticals and agrochemical industry. Bioautography belongs to microbiological screening methods commonly used for the detection of antimicrobial activity. Rapid detection of bioactive compounds plays strategic role in their natural products investigation. Hyphenated techniques involving mass spectrometry combined with thin-layer chromatography (TLC-MS) and high-performance column liquid chromatography (HPCLC-MS) provide on-line extensive structural information on the metabolites prior to isolation. Mass spectrometry (MS) has become a powerful and wide range technique in analytical and bioanalytical analysis. This overwhelming success and broadness has resulted mainly from the unmatched abilities of MS to detect, count, and characterize atoms and molecules of many types, compositions, and sizes. The aim this project is the development of new strategy to identify and characterize microbial bioactive metabolites employing Bioautography against mastitis cattle. This methodology will speed up the identification process and can be successfully to natural products chemistry. (AU)