Jitrangsri Kritamorn, Chaidedgumjorn Amornrut, Satiraphan Malai
Faculty of Pharmacy, Silpakorn University, Sanamchandra Palace Campus, Nakhon Pathom, 73000 Thailand.
J Food Sci Technol. 2020 Apr;57(4):1486-1494. doi: 10.1007/s13197-019-04184-9. Epub 2020 Jan 9.
The aim of this study was to develop the optimal conditions for supercritical fluid extraction (SFE) of bioactive -resveratrol from peanut kernels using an experimental design. The variables taken into account were extraction pressure, extraction temperature, extraction time and amount of modifier. The model was first set for significant factor screening by full factorial design, then, optimized by central composite designs. The optimal extraction parameters were a pressure of 7000 psi, temperature of 70 °C and time of 50 min while amount of modifier did not show significant effect. The quantity of -resveratrol was predictable by a full quadratic regression equation with R(predict) = 95.56%. The predicted -resveratrol concentration in peanut samples was 0.7998 µg/g while the experimental concentration was 0.7884 ± 0.1553 µg/g. Conventional solvent extraction demonstrated less selectivity and needed more clean-up process prior to HPLC analysis. Our optimized SFE condition was effective to maximize -resveratrol extraction with less contaminants and gave the comparable amount of -resveratrol between actual and predicted values.
本研究的目的是通过实验设计确定从花生仁中超临界流体萃取（SFE）生物活性成分白藜芦醇的最佳条件。考虑的变量有萃取压力、萃取温度、萃取时间和改性剂用量。首先通过全因子设计建立模型进行显著因素筛选，然后通过中心复合设计进行优化。最佳萃取参数为压力7000 psi、温度70°C、时间50分钟，而改性剂用量未显示出显著影响。白藜芦醇的含量可通过全二次回归方程预测，预测值R(predict) = 95.56%。花生样品中预测的白藜芦醇浓度为0.7998 μg/g，而实验浓度为0.7884±0.1553 μg/g。传统溶剂萃取的选择性较低，在进行HPLC分析之前需要更多的净化过程。我们优化的SFE条件有效地实现了白藜芦醇萃取量的最大化，减少了污染物，实际值与预测值之间的白藜芦醇含量相当。
