Department and Graduate Institute of Pharmacology, Kaohsiung Medical University, Kaohsiung 80708, Taiwan; Department of Medical Research, Kaohsiung Medical University Hospital, Kaohsiung 80708, Taiwan.
Department of Applied Geoinformatics, Chia Nan University of Pharmacy and Science, Tainan 71710, Taiwan.
Food Chem. 2018 Jun 30;252:381-389. doi: 10.1016/j.foodchem.2017.12.086. Epub 2017 Dec 28.
This study compared the use of ultrasound-assisted supercritical CO (USC-CO) extraction to obtain apigenin-rich extracts from Scutellaria barbata D. Don with that of conventional supercritical CO (SC-CO) extraction and heat-reflux extraction (HRE), conducted in parallel. This green procedure yielded 20.1% and 31.6% more apigenin than conventional SC-CO extraction and HRE, respectively. Moreover, the extraction time required by the USC-CO procedure, which used milder conditions, was approximately 1.9 times and 2.4 times shorter than that required by conventional SC-CO extraction and HRE, respectively. Furthermore, the theoretical solubility of apigenin in the supercritical fluid system was obtained from the USC-CO dynamic extraction curves and was in good agreement with the calculated values for the three empirical density-based models. The second-order kinetics model was further applied to evaluate the kinetics of USC-CO extraction. The results demonstrated that the selected model allowed the evaluation of the extraction rate and extent of USC-CO extraction.
本研究比较了超声辅助超临界 CO（USC-CO）提取与常规超临界 CO（SC-CO）提取和热回流提取（HRE）从 Scutellaria barbata D. Don 中获得富含芹菜素的提取物的方法。与常规 SC-CO 提取和 HRE 相比，这种绿色工艺分别获得了 20.1%和 31.6%更多的芹菜素。此外，USC-CO 工艺使用的条件较为温和，所需的提取时间分别比常规 SC-CO 提取和 HRE 缩短了约 1.9 倍和 2.4 倍。此外，从 USC-CO 动态提取曲线获得了芹菜素在超临界流体系统中的理论溶解度，并与三个基于密度的经验模型的计算值吻合良好。进一步应用二阶动力学模型来评估 USC-CO 提取的动力学。结果表明，所选模型允许评估 USC-CO 提取的提取速率和程度。
