Optimization of Extraction or Purification Process of Multiple Components from Natural Products: Entropy Weight Method Combined with Plackett–Burman Design and Central Composite Design

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.

Optimization of Extraction Conditions of Carotenoids from Dunaliella parva by Response Surface Methodology

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“…The information of an evaluation index is of great significance, the entropy value is low, and should be assigned a high weight coefficient to indicate its importance [18]. The EWM method determines the weight of each indicator in the following way [19]:…”

“…The information of an evaluation index is of great significance, the entropy value is low, and should be assigned a high weight coefficient to indicate its importance [18]. The EWM method determines the weight of each indicator in the following way [19]: $$$$\begin{equation}X = {\left\{ {{x}_{ij}} \right\}}_{m \times n}(i = 1,2 \cdots ,m;j = 1,2 \cdots ,n).\end{equation}$$$$…”

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“…There were m objects with n indexes to be evaluated in the index system then the matrix was evaluated as follows [32] : …”