Desenvolvimento de método analítico para fingerprinting metabólico das folhas de alcachofra por CLAE-DAD com aplicação de princípios da química analítica verde

• Autor(a) principal: Souza, Otávio Aguiar de [UNESP]
• Data de Publicação: 2017
• Tipo de documento: Trabalho de conclusão de curso
• Idioma: por
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://hdl.handle.net/11449/156331; http://www.athena.biblioteca.unesp.br/exlibris/bd/capelo/2018-04-26/000896538.pdf
• topic: Quimica; Química verde; Datiloscopia; Planejamento experimental

Cynara scolymus L. is a plant species with important pharmacological properties in the maintenance of human health due to the multiplicity of chemical compounds, or secondary metabolites, present in its constitution. For quality control of this plant and its derivatives and proof of its authenticity, e.g. herbal medicines, multicomponent approaches that allow the obtaining of a reliable fingerprint of the species for regulatory purposes are often used. In this context, High Efficiency Liquid Chromatography (HPLC) is the most used analytical technique and acetonitrile (MeCN) highlights as the solvent most used in the development of these methods of analysis, which results in considerable environmental impacts. In view of this scenario, this work had as main goal the development of a HPLC method for the hydroethanolic extract of artichoke leaves aiming to apply principles of Green Analytical Chemistry, with the use of ethanol (EtOH, a more environmentally friendly alternative) as organic modifier and from a heuristic perspective due to the complexity of the matrix. The hydroalcoholic extract of the artichoke leaves was prepared by maceration. Solid-Phase Extraction (SPE) was used to develop a clean-up methodology involving different proportions of binary EtOH / H2O mixtures and, after elucidating the more selective methodology for the analytes of interest, five chromatographic variables were screened by means of a Fractional Factorial Design of resolution V. Statistically significant variables were investigated in a Doehlert design, and the monitored responses were the number of chromatographic peaks (n) and their distribution along the chromatogram (GCFR). Quadratic models were estimated, their fit was evaluated and optimal chromatographic conditions - 5% of initial percentage of EtOH (solvent B) as organic solvent in the gradient and 35 ° C of analysis temperature - were elucidated through... (Complete abstract electronic access below)