https://dx.doi.org/10.4322/sc.2017.004
Screening da atividade antimicótica de Mentha sp. por cromatografia gasosa bidimensional abrangente combinada a análise de dados multivariada
Prata, Paloma Santana; Augusto, Fabio; Fukuda, Karina; Aleme, Helga G.; Duarte, Renata M.T.; Duarte, Marta C.T.; Sartoratto, Adilson; Poppi, Ronei J.
Palavras-chave: GC×GC, metabólitos secundários, atividade antifúngica, análise de dados multivariada, Mentha.
Resumo: A combinação de Cromatografia Gasosa Bidimensional Abrangente (GC×GC) e processamento multivariado de dados foi avaliada para modelar e prever a atividade antifúngica de óleos essenciais de Mentha sp. Metabólitos secundários de folhas de várias espécies e cultivares de Mentha foram isolados por hidrodestilação e a atividade antimicótica destes óleos essenciais contra a levedura patógena Candida dubliniensis foi estimada e expressa após determinação de suas Concentrações Inibidoras Mínimas (Minimum Inhibitory Concentrations, MIC). Estas amostras foram analisadas por GC×GC tanto com detecção por ionização de chama (-FID) como espéctrométrica de massas (-QMS). Obteve-se um modelo matemático correlacionando a MIC contra C. dubliniensis aos cromatogramas de GC×GC-FID, utilizando Calibração por Mínimos Quadrados Parciais N-variada com Análise de Discriminante (NPLS-DA). Este modelo, quando aplicado a cromatogramas obtidos para amostras de validação, foi capaz de prever com sucesso a presença ou ausência de atividade antimicótica em 92% dos casos. Além disso, a inspeção dos cromatogramas GC×GC-QMS permitiu a identificação preliminar dos metabólitos secundários responsáveis pela atividade modelo: linalol, carvona, pulegona, piperitona e óxido de piperitenona. Isso demonstra o potencial de GC×GC-FID - uma técnica relativamente simples e barata - combinada a técnicas quimiométricas como uma ferramenta poderosa para inferir as propriedades bioquímicas de misturas complexas de metabolitos.
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