Screening antifungal activity of Mentha sp. by two-dimensional gas chromatography combined to multivariate data prosessing

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, secondary metabolites, antifungal properties, multivariate analyses, Mentha.

Resumo: Combination of Comprehensive Two-Dimensional Gas Chromatography (GC×GC) and multivariate data processing was evaluated to model and predict the antifungal activity of essential oils of Menth sp. Metabolites secondary in leaves of various species and cultivars of Mentha were isolated by hydrodistillation and the antimycotic activity of these essential oils against to a pathogenic yeast (Candida dubliniensis) was estimated and expressed after determination of their Minimum Inhibitory Concentrations (MIC). In this work, these samples were analyzed by GC×GC with flame ionization detection (-FID) and mass spectrometry (-QMS). A model correlating MIC against C. dubliniensis to GC×GC-FID chromatograms was obtained to using N-way Partial Least Square Discriminant Analysis (N-PLS-DA) Calibration. This model, when applied to chromatograms obtained for validation samples was able to successfully predict to presence or absence of antimycotic activity in 92% of the cases. In addition, GC×GC-QMS chromatogram inspected allowed the preliminary identification of secondary metabolites responsible for activity model: linalool, carvone, pulegone, piperitone and piperitone oxide. This demonstrates the potential of GC×GC-FID – a simple and inexpensive technique – combined with chemometrics techniques as a powerful tool to infer the biochemical properties of complex mixtures of metabolites.

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