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Optimization of Extraction or Purification Process of Multiple Components from Natural Products: Entropy Weight Method Combined with Plackett–Burman Design and Central Composite Design
Authors:Yu Du  Pengcheng Huang  Weifeng Jin  Chang Li  Jiehong Yang  Haitong Wan  Yu He
Institution:1.School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou 310053, China; (Y.D.); (P.H.); (W.J.);2.School of Life Sciences, Zhejiang Chinese Medical University, Hangzhou 310053, China;3.School of Basic Medicine Sciences, Zhejiang Chinese Medical University, Hangzhou 310053, China;
Abstract:In this paper, the optimization of the extraction/purification process of multiple components was performed by the entropy weight method (EWM) combined with Plackett–Burman design (PBD) and central composite design (CCD). We took the macroporous resin purification of Astragalus saponins as an example to discuss the practicability of this method. Firstly, the weight of each component was given by EWM and the sum of the product between the componential content and its weight was defined as the comprehensive score, which was taken as the evaluation index. Then, the single factor method was adopted for determining the value range of each factor. PBD was applied for screening the significant factors. Important variables were further optimized by CCD to determine the optimal process parameters. After the combination of EWM, PBD and CCD, the resulting optimal purification conditions were as follows: pH value of 6.0, the extraction solvent concentration of 0.15 g/mL, and the ethanol volume fraction of 75%. Under the optimal conditions, the practical comprehensive score of recoveries of saponins was close to the predicted value (n = 3). Therefore, the present study provided a convenient and efficient method for extraction and purification optimization technology of multiple components from natural products.
Keywords:multiple-component optimization  Placket–  Burman design  central composite design  macroporous resin  astragalus saponin
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