Classification of lignocellulosic matrix of spines in Cactaceae by Py-GC/MS combined with omic tools and multivariate analysis: a chemotaxonomic approach

Publication date: Available online 20 February 2020Source: Journal of Analytical and Applied PyrolysisAuthor(s): Jorge Reyes-Rivera, Eloy Solano, Teresa Terrazas, Marcos Soto-Hernández, Salvador Arias, Yara C. Almanza-Arjona, Luis A. Polindara-GarcíaABSTRACTPyrolysis coupled to gas chromatography and mass spectrometry (Py-GC/MS) is a fast analytical technique used to characterize different lignocellulosic materials. Additionally, cheminformatics allows processing the vast amount of information obtained from Py-GC/MS for the classification of such materials. Here we characterized the lignocellulosic matrix of the spines in species of Cactaceae by Py-GC/MS; omic tools were used for processing the mass spectra in order to classify the species and identify chemical characters with taxonomic value. Fresh spines samples were collected from mature individuals belonging to 15 species of Cactaceae with known phylogenies. All samples were cleaned by ultrasonication and sequential Soxhlet extraction. Milled samples were analysed by Py-GC/MS and mass spectra were deconvoluted, identified, aligned and annotated using omic tools before the multivariate analysis. A total of 451 compounds were identified and aligned: ketones, esters, alcohols, furans and hydrocarbons were the main classes. Furan, furfural, butane and ethylene oxide were the main derivatives produced from carbohydrates, while the p-hydroxyphenyl (H) and guaiacyl (G) derivatives, as well as catechols, were the only compounds...
Source: Journal of Analytical and Applied Pyrolysis - Category: Chemistry Source Type: research