Mohamed Ahmed Isam A, Al-Juhaimi Fahad, Adisa Abdulraheem R, Adiamo Oladipupo Q, Babiker Elfadil E, Osman Magdi A, Gassem Mustafa A, Ghafoor Kashif, Alqah Hesham A S, Elkareem Mohammed A
Department of Food Science and Nutrition, College of Food and Agricultural Sciences, King Saud University, Riyadh, 11451 Saudi Arabia.
Center for Nutrition and Food Sciences, Queensland Alliance for Agriculture and Food Innovation, University of Queensland, Brisbane, QLD 4108 Australia.
J Food Sci Technol. 2020 Aug;57(8):3071-3080. doi: 10.1007/s13197-020-04340-6. Epub 2020 Mar 14.
In this study, phenolic compounds were extracted from Argel leaves using an ultrasound-assisted extraction (UAE) method. The extraction parameters (sonication temperature, time, and ethanol concentration) were optimized using a response surface methodology (Box-Behnken design), in order to maximize the total phenolic content (TPC) and 1,1-diphenyl-2-picrylhydrazyl (DPPH) scavenging activity of Argel leaf extracts (ALEs). The phenolic compounds of the ALEs obtained under optimized conditions were also identified. The optimum UAE conditions for achieving maximum TPC (72.27 g gallic acid equivalents kg DW) and DPPH scavenging activity (86.15%) were a 60 °C temperature, a 37.07 min duration, and a 39.14% ethanol concentration. Under these conditions, the experimental values of TPC and DPPH scavenging activity were 73.02 g GAE kg and 85.56%, respectively, which agreed with the predicted values. In addition, the major phenolic acids found in ALEs under the optimized extraction conditions were sinapic, -coumaric, and ferulic acid. Overall, the findings of this study demonstrated the suitability of UAE and the success of RSM in optimizing the extraction conditions of bioactive compounds from ALEs.
在本研究中，采用超声辅助提取（UAE）法从阿尔吉尔叶中提取酚类化合物。使用响应面法（Box-Behnken设计）优化提取参数（超声温度、时间和乙醇浓度），以最大化阿尔吉尔叶提取物（ALE）的总酚含量（TPC）和1,1-二苯基-2-苦基肼（DPPH）清除活性。还鉴定了在优化条件下获得的ALE中的酚类化合物。实现最大TPC（72.27 g没食子酸当量kg干重）和DPPH清除活性（86.15%）的最佳UAE条件为温度60°C、持续时间37.07分钟和乙醇浓度39.14%。在此条件下，TPC和DPPH清除活性的实验值分别为73.02 g GAE/kg和85.56%，与预测值相符。此外，在优化提取条件下ALE中发现的主要酚酸为芥子酸、对香豆酸和阿魏酸。总体而言，本研究结果证明了UAE的适用性以及响应面法在优化从ALE中提取生物活性化合物条件方面的成功。
