Al-Dhabi Naif Abdullah, Ponmurugan Karuppiah, Maran Jeganathan Prakash
Department of Botany and Microbiology, Addiriyah Chair for Environmental Studies, College of Science, King Saud University, Riyadh 11451, Saudi Arabia.
Department of Botany and Microbiology, Addiriyah Chair for Environmental Studies, College of Science, King Saud University, Riyadh 11451, Saudi Arabia.
Ultrason Sonochem. 2017 Jan;34:206-213. doi: 10.1016/j.ultsonch.2016.05.005. Epub 2016 May 20.
In this current work, Box-Behnken statistical experimental design (BBD) was adopted to evaluate and optimize USLE (ultrasound-assisted solid-liquid extraction) of phytochemicals from spent coffee grounds. Factors employed in this study are ultrasonic power, temperature, time and solid-liquid (SL) ratio. Individual and interactive effect of independent variables over the extraction yield was depicted through mathematical models, which are generated from the experimental data. Determined optimum process conditions are 244W of ultrasonic power, 40°C of temperature, 34min of time and 1:17g/ml of SL ratio. The predicted values were in correlation with experimental values with 95% confidence level, under the determined optimal conditions. This indicates the significance of selected method for USLE of phytochemicals from SCG.
在当前这项工作中，采用Box-Behnken统计实验设计（BBD）来评估和优化从废弃咖啡渣中超声辅助提取植物化学物质的工艺。本研究采用的因素包括超声功率、温度、时间和固液比。通过由实验数据生成的数学模型描述了自变量对提取率的单独和交互作用。确定的最佳工艺条件为超声功率244W、温度40°C、时间34分钟和固液比1:17g/ml。在确定的最佳条件下，预测值与实验值在95%置信水平上具有相关性。这表明所选择的从废弃咖啡渣中超声辅助提取植物化学物质的方法具有重要意义。
