title: Statistical mixture design optimization of extraction media and mobile phase compositions for the characterization of green tea.
abstract: The influence of different solvents on the extraction medium and the RP-HPLC mobile phase composition were investigated by statistical mixture designs to optimize solvent proportions to prepare the fingerprint of a medicinal herbal extract. For modeling, the number of peaks was used as a measure of fingerprint information. The optimum compositions of solvent to extract chemical substances from green tea and for mobile phase chromatographic analysis were ethyl acetate/ ethanol/dichloromethane (20:5:75 v/v/v) and MeOH/ACN/water (7.5:57.5:35 v/v/v), respectively. This system results in 26 peaks in the chromatographic fingerprint. These results show that an incorrect choice of modifiers for mobile phase composition and solvent extraction hampers the detection of a maximum number of peaks and produces a poor chromatographic fingerprint.
authors.affiliation: Departamento de Química, Laboratório de Quimiometria em Ciências Naturais, Universidade Estadual de Londrina, Londrina, Paraná, Brazil.
authors.forename: Aline
authors.initials: A
authors.lastname: Alves de Almeida
authors.forename: Ieda Spacino
authors.initials: IS
authors.lastname: Scarminio
mesh_terms: D028241:Camellia sinensis / Q000737:chemistry*; D002851:Chromatography, High Pressure Liquid / Q000379:methods / Q000592:standards / Q000706:statistics & numerical data; D010936:Plant Extracts / Q000737:chemistry; D010946:Plants, Medicinal / Q000737:chemistry; D012997:Solvents; D013662:Tea / Q000737:chemistry*
chemical_list: D010936:Plant Extracts; D012997:Solvents; D013662:Tea