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Statistical mixture design optimization of extraction media and mobile phase compositions for the characterization of green tea
Author(s) -
Alves de Almeida Aline,
Spacino Scarminio Ieda
Publication year - 2007
Publication title -
journal of separation science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.72
H-Index - 102
eISSN - 1615-9314
pISSN - 1615-9306
DOI - 10.1002/jssc.200600321
Subject(s) - extraction (chemistry) , chromatography , characterization (materials science) , chemistry , phase (matter) , green tea , statistical analysis , materials science , nanotechnology , mathematics , organic chemistry , food science , statistics
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.