Development and characterization of a green procedure for apigenin extraction from Scutellaria barbata D. Don

doi:10.1016/j.foodchem.2017.12.086

CNU IR > College of Sustainable Environment and Recreation > Dept. of Applied Geoinformatics > Periodical Articles > Item 310902800/32191

Please use this identifier to cite or link to this item: https://ir.cnu.edu.tw/handle/310902800/32191

Title:	Development and characterization of a green procedure for apigenin extraction from Scutellaria barbata D. Don
Authors:	Yang, Yu-Chiao Wei, Ming-Chi
Contributors:	Kaohsiung Med Univ, Dept & Grad Inst Pharmacol Kaohsiung Med Univ Hosp, Dept Med Res Chia Nan Univ Pharm & Sci, Dept Appl Geoinformat
Keywords:	Scutellaria barbata D. Don Apigenin Supercritical CO2 extraction Ultrasound-assisted extraction Second-order kinetic model Eyring transition state theory Green alternative procedure Theoretical solubility
Date:	2018-06-30
Issue Date:	2019-11-15 15:44:30 (UTC+8)
Publisher:	ELSEVIER SCI LTD
Abstract:	This study compared the use of ultrasound-assisted supercritical CO2 (USC-CO2) extraction to obtain apigenin-rich extracts from Scutellaria barbata D. Don with that of conventional supercritical CO2 (SC-CO2) extraction and heat-reflux extraction (HRE), conducted in parallel. This green procedure yielded 20.1% and 31.6% more apigenin than conventional SC-CO2 extraction and HRE, respectively. Moreover, the extraction time required by the USC-CO2 procedure, which used milder conditions, was approximately 1.9 times and 2.4 times shorter than that required by conventional SC-CO2 extraction and HRE, respectively. Furthermore, the theoretical solubility of apigenin in the supercritical fluid system was obtained from the USC-CO2 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-CO2 extraction. The results demonstrated that the selected model allowed the evaluation of the extraction rate and extent of USC-CO2 extraction.
???metadata.dc.relation.uri???:	http://dx.doi.org/10.1016/j.foodchem.2017.12.086
Relation:	Nonlinear Analysis-Hybrid Systems, v.252, pp.381-389
Appears in Collections:	[Dept. of Applied Geoinformatics] Periodical Articles

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