RESUMEN

The chemical diversity of three macroalgae (Ulva reticulata, Sargassum wightii, Gracilaria sp) were determined using the GC-MS method with principal component analysis (PCA) and their potential efficacy against human pathogens and cervical carcinoma cells evaluated using MTT bioassay method. Our results showed that >30 metabolites were detected in three seaweeds, among these, steroids and fatty acids are the most dominant chemical group that highly contributes to discriminate this species. The PCA of GC-MS mass spectral variables showed a clear discrimination between three different species based on the phytochemical diversity of seaweeds. The extracts of U. reticulata exhibited anti-microbial activity with Pseudomonas aeruginosa (6.00 mm) and showed potential anti-proliferative activity against the HeLa cells (IC50 37 µmol/L) at concentration 1-50 µM treatment. Results of this study concluded that PCA analysis of mass spectral variables could be utilized as a reliable tool for species discrimination and chemotaxonomic classification of seaweeds.

Asunto(s)

Antineoplásicos/farmacología , Gracilaria/química , Sargassum/química , Ulva/química , Antibacterianos/química , Antibacterianos/farmacología , Antineoplásicos/química , Ácidos Grasos/análisis , Ácidos Grasos/metabolismo , Cromatografía de Gases y Espectrometría de Masas/métodos , Cromatografía de Gases y Espectrometría de Masas/estadística & datos numéricos , Gracilaria/metabolismo , Células HeLa , Humanos , India , Extractos Vegetales/análisis , Extractos Vegetales/química , Análisis de Componente Principal , Pseudomonas aeruginosa , Sargassum/metabolismo , Algas Marinas/química , Algas Marinas/metabolismo , Esteroides/análisis , Esteroides/química , Ulva/metabolismo