Deep eutectic solvents, environmentally friendly “green”solvents, have recently been applied extensively in several areas of chemistry, including the preparation of inorganic materials, organic synthesis, biochemistry, and analytical chemistry. Th...
Deep eutectic solvents, environmentally friendly “green”solvents, have recently been applied extensively in several areas of chemistry, including the preparation of inorganic materials, organic synthesis, biochemistry, and analytical chemistry. There are an increasing number of studies in extraction and separation media for bioactive plant compound, including flavonoids, catechin, phenolic acid, terpenoids, and saponin. For the optimization of liquid-solid extraction processes, the response surface methodology is usually applied in combination with the full factorial design (FFD), central composite design (CCD) or Box-Behnken design (BBD) serving for the data collection. The present study deals with comparing the performances of CCD and BBD, which are used in combination with the response surface methodology (RSM) for the optimization of the phenolic compound extraction by deep eutectic solvent with respect to deep eutectic solvent concentration (1.6-3.2 g), time (120-240 min), solvent-to-sample ratio (20:1-60:1) and temperature (40-80℃). The optimum range condition was deep eutectic solvent concentration (2.1-2.2 g), time (182-200 min), solvent-to-sample ratio (36-47) and temperature (60-70℃). All two methods were efficient in the statistical modeling and optimization of the influential process variables and led to almost the same optimal process conditions and predicted phenolic compound content. Having better statistical performances and being economically advantageous over the CCD with repetition, the BBD combined with the RSM is recommended for the optimization of liquid-solid extraction processes.