Statistical mixture design optimization of extraction media and mobile phase compositions for the characterization of green tea
✍ Scribed by Aline Alves de Almeida; Ieda Spacino Scarminio
- Publisher
- John Wiley and Sons
- Year
- 2007
- Tongue
- English
- Weight
- 642 KB
- Volume
- 30
- Category
- Article
- ISSN
- 1615-9306
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✦ Synopsis
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.