Essential Oils Chemical Diversity from UFRRJ Botanical Garden and Other Locations Plants Based on Analysis of Image and Multivariate Statistic
Diversidade Química dos Óleos Essenciais de Plantas do Jardim Botânico da UFRRJ e de Outras Localidades, Baseado em Análise de Imagem e Estatística Multivariada

Marcela S. Alves, Laurine C. P. da Silva, Elisabeth A. D. Pereira, Erica P. Espósito, Lucas M. Fagundes, Thainá S. Faria, Andre M. dos Santos, Douglas S. A. Chaves, Rosane N. Castro, Marco A. A. de Souza
2019 Revista Virtual de Quimica  
Espósito, E. P.; Fagundes, L. M.; Faria, T. S.; Santos, A. M.; Chaves, D. S. A.; Castro, R. N.; Souza, M. A. A.* Abstract: The Botanical Garden of Federal Rural University of Rio de Janeiro (JB/UFRRJ) is an instrument for the study and conservation of native and exotic biodiversity. In addition, the JB/UFRRJ has been outstanding for promoting direct actions to encourage basic research and the development of extension activities. The collection of native and exotic plant species from JB/UFRRJ
more » ... es from JB/UFRRJ includes some plants considered aromatic, which produce essential oils with diverse applications and uses, therefore, of great academic interest. In this context, the objective was to analyze the essential oils chemical diversity obtained from JB and UFRRJ campus and to present them through a chemoarray images and multivariate analysis. Essential oils were obtained by hydrodistillation of the leaves and/or fruits of 14 plant species. Subsequently, the essential oils chemical characterization was performed by chromatography (GC-FID and GC-MS) and the chemical profile of each essential oil sample was presented as a chemoarray images. The results were submitted to principal component analysis (PCA) and hierarchical clustering analysis (HCA). The essential oils chemical analysis allowed the identification of 114 substances distributed in the studied species. It was possible to identify specific chemical markers such as menthol and carvone, as well as non-specific markers such as eugenol, citral and citronellal. General classes of volatile substances were found to group better within a taxonomic context when compared to analysis based on total composition. PCA and HCA, based on substance classes and chemical profile, outperformed taxonomic relationships.
doi:10.21577/1984-6835.20190115 fatcat:n65khczhhfh2ni4grrtbd34noq